[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-b0d7df1028b033f7-automating-weekly-releases-with-ai-and-human-in-th-summary":3,"summaries-facets-categories":148,"summary-related-b0d7df1028b033f7-automating-weekly-releases-with-ai-and-human-in-th-summary":5652},{"id":4,"title":5,"ai":6,"body":13,"categories":106,"created_at":108,"date_modified":108,"description":99,"extension":109,"faq":108,"featured":110,"kicker_label":108,"meta":111,"navigation":129,"path":130,"published_at":131,"question":108,"scraped_at":132,"seo":133,"sitemap":134,"source_id":135,"source_name":136,"source_type":137,"source_url":138,"stem":139,"tags":140,"thumbnail_url":108,"tldr":145,"tweet":108,"unknown_tags":146,"__hash__":147},"summaries\u002Fsummaries\u002Fb0d7df1028b033f7-automating-weekly-releases-with-ai-and-human-in-th-summary.md","Automating Weekly Releases with AI and Human-in-the-Loop",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8041,768,3778,0.00316225,{"type":14,"value":15,"toc":98},"minimark",[16,21,25,48,51,55,63,67,70,91,95],[17,18,20],"h2",{"id":19},"the-trust-but-verify-architecture","The Trust-But-Verify Architecture",[22,23,24],"p",{},"The core innovation in this release pipeline is the separation of mechanical tasks (version bumping, tagging, PyPI publishing) from judgment-based tasks (writing release notes, drafting announcements). To ensure reliability, the team implemented a 'trust-but-verify' loop:",[26,27,28,36,42],"ol",{},[29,30,31,35],"li",{},[32,33,34],"strong",{},"Deterministic Manifest:"," Before the model generates anything, a Python script extracts all PR numbers from the commit range to create a ground-truth manifest.",[29,37,38,41],{},[32,39,40],{},"AI Drafting:"," An open-weights model (currently GLM-5.2) drafts the changelog based on the PR titles and documentation diffs.",[29,43,44,47],{},[32,45,46],{},"Automated Validation:"," A script compares the model's output against the manifest. If the model drops a PR or hallucinates an extra one, the system automatically re-prompts the agent to fix the specific discrepancies.",[22,49,50],{},"This approach allows the team to leverage the model's ability to synthesize prose while using deterministic code to enforce completeness and accuracy.",[17,52,54],{"id":53},"grounding-models-with-context","Grounding Models with Context",[22,56,57,58,62],{},"To prevent the model from inventing code examples or misinterpreting API changes, the pipeline feeds actual documentation diffs (",[59,60,61],"code",{},"docs\u002F*.md",") into the model's context. This ensures that the generated release notes quote the exact documentation written by the PR author. The prompts are managed as 'Skills'—version-controlled Markdown files that act as onboarding instructions for the agent, defining tone, taxonomy, and structural requirements.",[17,64,66],{"id":65},"security-and-efficiency","Security and Efficiency",[22,68,69],{},"The workflow is built entirely on open tools to ensure it is reproducible by other maintainers:",[71,72,73,79,85],"ul",{},[29,74,75,78],{},[32,76,77],{},"Trusted Publishing:"," Uses OIDC tokens and PEP 740 attestations for secure PyPI publishing, eliminating the need for long-lived API tokens.",[29,80,81,84],{},[32,82,83],{},"Supply Chain Integrity:"," All agent runtimes are pinned and verified via SHA256 checksums.",[29,86,87,90],{},[32,88,89],{},"Cost:"," The entire automated process costs approximately $0.25 per release using Hugging Face Inference Providers.",[17,92,94],{"id":93},"human-in-the-loop","Human-in-the-Loop",[22,96,97],{},"Despite the automation, a human remains the final gatekeeper. The model generates a draft release, which a human reviewer then edits for tone and emphasis. By archiving both the raw AI draft and the human-edited version, the team creates a dataset that allows them to iteratively improve the agent's performance over time.",{"title":99,"searchDepth":100,"depth":100,"links":101},"",2,[102,103,104,105],{"id":19,"depth":100,"text":20},{"id":53,"depth":100,"text":54},{"id":65,"depth":100,"text":66},{"id":93,"depth":100,"text":94},[107],"MLOps & Infrastructure",null,"md",false,{"content_references":112,"triage":124},[113,118,121],{"type":114,"title":115,"url":116,"context":117},"tool","huggingface_hub","https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Fhuggingface_hub","mentioned",{"type":114,"title":119,"url":120,"context":117},"OpenCode","https:\u002F\u002Fopencode.ai\u002F",{"type":114,"title":122,"url":123,"context":117},"GLM-5.2","https:\u002F\u002Fhuggingface.co\u002Fzai-org\u002FGLM-5.2",{"relevance":125,"novelty":126,"quality":126,"actionability":126,"composite":127,"reasoning":128},5,4,4.35,"Category: MLOps & Infrastructure. The article provides a detailed account of an innovative release pipeline that integrates AI with human oversight, addressing the pain point of automating repetitive tasks while ensuring reliability. It outlines specific steps in the 'trust-but-verify' architecture, making it actionable for engineers looking to implement similar systems.",true,"\u002Fsummaries\u002Fb0d7df1028b033f7-automating-weekly-releases-with-ai-and-human-in-th-summary","2026-06-23 10:56:16","2026-06-29 14:32:14",{"title":5,"description":99},{"loc":130},"b0d7df1028b033f7","Hugging Face Blog","article","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fhuggingface-hub-release-ci","summaries\u002Fb0d7df1028b033f7-automating-weekly-releases-with-ai-and-human-in-th-summary",[141,142,143,144],"mlops","open-source","agents","automation","Hugging Face reduced release cycles from 6 weeks to 1 week by using a 'trust-but-verify' pipeline where open-weights models draft release notes and deterministic scripts enforce accuracy, keeping a human in the loop only for final 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It excels at self-improvement via a loop that persists experience into memory, skills, and history. Unlike stateless LLMs, Hermes wakes with context from key files, enabling consistent, personalized behavior.",[22,5672,5673],{},"The five pillars form its foundation:",[26,5675,5676,5695],{},[29,5677,5678,5681,5682,5685,5686,5689,5690,5694],{},[32,5679,5680],{},"Memory",": Durable context across sessions via ",[59,5683,5684],{},"user.md"," (your preferences, style) and ",[59,5687,5688],{},"memory.md"," (projects, business context). Loaded at session start. Use session search (SQLite DB) for past conversations. Principle: Agents are amnesiac like in ",[5691,5692,5693],"em",{},"Memento","—feed holistic context upfront. Hermes auto-extracts\u002Fupdates these; manually reinforce with \"Chuck this into memory.md\" or \"Never do X again—add to user.md\". Avoid secrets or temp status here.",[29,5696,5697,5700,5701,5704],{},[32,5698,5699],{},"Skills",": Procedural playbooks in ",[59,5702,5703],{},"skills.md"," with YAML frontmatter for progressive disclosure (e.g., ```yaml\nwhen_to_use: \"For image generation\"",[5706,5707,5712],"pre",{"className":5708,"code":5709,"language":5710,"meta":5711,"style":99},"language-). shiki shiki-themes github-light github-dark","\n3. **Soul**: Shapes personality in `soul.md` (no YAML). Evolves with feedback for vibe (e.g., sarcastic but not rude for YouTube comments). Makes multi-agents distinct.\n\n4. **Crons**: Proactive scheduling turns reactive agent into autonomous worker. Natural language: \"Daily 6AM briefing.\" Creates isolated sessions; outputs to original chat\u002Ffiles. Flags: `context_from` chains jobs, `work_dir` for project tools, `--no-agent` for scripts. Safety: No recursive crons—prompts must be self-contained.\n\n5. **Self-Improving Loop**: Work → Learn → Persist (memory\u002Fskills\u002Fhistory) → Repeat. User corrects, saves, skill-ifies. Not magic—guide it.\n\nBonus: `agents.md` (global project goals, like Claude's `claw.md`). Use for multi-project terminal work.\n\n**Common Mistake**: Overloading context—keep files lean; let progressive disclosure handle skills. **Quality Check**: Does it repeat itself? Update memory. Feels impersonal? Tune soul.\n\n## Deployment: VPS Setup and Telegram Onboarding\n\nAssumes basic terminal comfort (SSH, git). No Mac Mini needed—use Hostinger VPS (code NATEHERK for 10% off annual).\n\n### Step 1: VPS Provisioning (16:30 timestamp)\n- Sign up Hostinger VPS (Ubuntu 24.04 recommended, 2-4 vCPU, 4-8GB RAM for Hermes).\n- SSH in: `ssh root@your-ip`.\n- Update: `apt update && apt upgrade -y`.\n- Install Docker: `curl -fsSL https:\u002F\u002Fget.docker.com -o get-docker.sh && sh get-docker.sh`.\n- Add user: `adduser hermes && usermod -aG sudo,docker hermes`.\n- Firewall: `ufw allow OpenSSH && ufw allow 80,443 && ufw enable`.\n\n### Step 2: Hermes Install\n- Switch to hermes user: `su - hermes`.\n- Clone repo: `git clone https:\u002F\u002Fgithub.com\u002FNooseResearch\u002FHermes.git && cd Hermes`.\n- Docker compose: Edit `docker-compose.yml` for models (e.g., Claude via API keys), volumes.\n- Secrets: Use `.env` for API keys (Anthropic, etc.)—**never** in memory files.\n- Start: `docker compose up -d`.\n\n### Step 3: Telegram Integration (25:30)\n- Create Telegram bot via @BotFather: Get token.\n- In Hermes web UI (http:\u002F\u002Fyour-ip:3000), onboard: Paste bot token, chat ID (msg \u002Fstart to bot, copy ID).\n- Test: Message bot—Hermes responds.\n\nHermes auto-builds initial `user.md`\u002F`memory.md` from chats. **Pitfall**: Expose only necessary ports; use Cloudflare Tunnel for security.\n\n## Skills, Crons, Backup, and Scaling\n\n### First Skill and Cron (33:00)\n- **Skill Example**: Paste Skills Hub URL: \"Install this generate-image skill.\"\n- YAML frontmatter ensures targeted loading.\n- **First Cron**: \"Create daily AI news briefing to Skool at 6AM.\" Hermes crafts cron.yaml, schedules via tools.\n\n### GitHub Backup (33:00)\n- Init repo: `git init`, add all (`git add .`), commit, remote: `git remote add origin your-repo`.\n- Cron backup: \"Daily GitHub push.\"\n- **Pro Tip**: Use Claude Code to manage multi-agent repos—sync skills\u002Fmemory across Hermes\u002FOpenClaw.\n\n### Best Practices & Security (46:30)\n- **Security**: API keys in `.env` only. Rate limits. No recursive crons. Isolate agents in subdirs.\n- **DX**: Terminal for deep work (Claude Code better); Telegram for mobile\u002Fproactive.\n- **Trade-offs**: Lighter\u002Ffaster than OpenClaw (350k stars, Nvidia NemoClaw fork); less breakage. Not for desk coding—pair with Claude.\n\n### Scaling Multiple Agents (50:30)\n- Subdirs per agent: `agents\u002Fyt-comments`, `agents\u002Fnews`.\n- Shared GitHub repo; distinct `soul.md`\u002F`memory.md`.\n- VPS: Multiple Docker instances or subdomains.\n- **Pitfall**: Context bloat—use `agents.md` for project silos.\n\n**Before\u002FAfter**: Raw request → poor video (bad spacing); feedback → Hyperframes install, polished output.\n\n**Exercise**: Install Excalidraw skill, generate pillar diagrams: \"Use Excal to diagram five pillars.\"\n\n## Comparisons and Workflow Fit\n\n| Tool | Use Case | Why Hermes? |\n|------|----------|-------------|\n| Claude Code | Desk\u002Fterminal coding (90% Nate's work) | Mobile, crons unlimited vs 15\u002Fday limit |\n| OpenClaw | Similar mobile, but heavier\u002Fbreaks more | Lighter, self-improving, OSS models ready |\n\nFits indie builders: On-the-go automations (YouTube replies, news briefs) without infra always-on.\n\n**Quotes**:\n1. \"Hermes probably understands it the best and it can also look up its own documentation so just ask it hey can you do this.\" (On troubleshooting.)\n2. \"Memory equals what to remember, skill equals how to do it again.\" (Pillar distinction.)\n3. \"Crons turn Hermes from reactive into a proactive scheduled automation.\" (Key value prop.)\n4. \"Automatic does not mean magic—the loop works best when the user corrects Hermes.\" (Self-improvement reality check.)\n\n## Key Takeaways\n- Start with VPS (Hostinger Ubuntu), Docker install Hermes, Telegram bot for instant access.\n- Prime memory\u002Fsoul files early; let Hermes auto-update but manually reinforce.\n- Build skills via hub or convos; use YAML for efficiency.\n- Schedule crons in natural language—self-contained prompts only.\n- GitHub backup everything; scale via subdirs for multi-agents.\n- Pair with Claude Code: Hermes for mobile\u002Fproactive, Claude for deep work.\n- Avoid: Secrets in MD files, recursive crons, ignoring feedback loops.\n- Test: Natural request → skill install → cron → iterate.\n- Resource: Free Skool guide for copy-paste setup.\n",").","Only loads full skill if relevant. Analogy: Recipes for consistent pancakes—prevents variability. Hermes auto-creates\u002Fpatches skills from workflows; pull 520+ from Skills Hub (e.g., Anthropic's Canvas, skill creator). Install via URL or command.",[59,5713,5714,5722,5727,5732,5737,5741,5747,5752,5758,5763,5769,5774,5780,5785,5791,5796,5802,5808,5814,5820,5826,5832,5838,5843,5849,5855,5861,5867,5873,5879,5884,5890,5896,5902,5908,5913,5919,5924,5930,5935,5941,5947,5953,5959,5964,5970,5976,5982,5988,5993,5999,6005,6011,6017,6022,6028,6034,6040,6046,6052,6057,6063,6068,6074,6079,6085,6090,6096,6102,6108,6114,6119,6125,6130,6136,6142,6148,6154,6160,6165,6171,6177,6183,6189,6195,6201,6207,6213,6219],{"__ignoreMap":99},[5715,5716,5719],"span",{"class":5717,"line":5718},"line",1,[5715,5720,5721],{"emptyLinePlaceholder":129},"\n",[5715,5723,5724],{"class":5717,"line":100},[5715,5725,5726],{},"3. **Soul**: Shapes personality in `soul.md` (no YAML). Evolves with feedback for vibe (e.g., sarcastic but not rude for YouTube comments). Makes multi-agents distinct.\n",[5715,5728,5730],{"class":5717,"line":5729},3,[5715,5731,5721],{"emptyLinePlaceholder":129},[5715,5733,5734],{"class":5717,"line":126},[5715,5735,5736],{},"4. **Crons**: Proactive scheduling turns reactive agent into autonomous worker. Natural language: \"Daily 6AM briefing.\" Creates isolated sessions; outputs to original chat\u002Ffiles. Flags: `context_from` chains jobs, `work_dir` for project tools, `--no-agent` for scripts. Safety: No recursive crons—prompts must be self-contained.\n",[5715,5738,5739],{"class":5717,"line":125},[5715,5740,5721],{"emptyLinePlaceholder":129},[5715,5742,5744],{"class":5717,"line":5743},6,[5715,5745,5746],{},"5. **Self-Improving Loop**: Work → Learn → Persist (memory\u002Fskills\u002Fhistory) → Repeat. User corrects, saves, skill-ifies. Not magic—guide it.\n",[5715,5748,5750],{"class":5717,"line":5749},7,[5715,5751,5721],{"emptyLinePlaceholder":129},[5715,5753,5755],{"class":5717,"line":5754},8,[5715,5756,5757],{},"Bonus: `agents.md` (global project goals, like Claude's `claw.md`). Use for multi-project terminal work.\n",[5715,5759,5761],{"class":5717,"line":5760},9,[5715,5762,5721],{"emptyLinePlaceholder":129},[5715,5764,5766],{"class":5717,"line":5765},10,[5715,5767,5768],{},"**Common Mistake**: Overloading context—keep files lean; let progressive disclosure handle skills. **Quality Check**: Does it repeat itself? Update memory. Feels impersonal? Tune soul.\n",[5715,5770,5772],{"class":5717,"line":5771},11,[5715,5773,5721],{"emptyLinePlaceholder":129},[5715,5775,5777],{"class":5717,"line":5776},12,[5715,5778,5779],{},"## Deployment: VPS Setup and Telegram Onboarding\n",[5715,5781,5783],{"class":5717,"line":5782},13,[5715,5784,5721],{"emptyLinePlaceholder":129},[5715,5786,5788],{"class":5717,"line":5787},14,[5715,5789,5790],{},"Assumes basic terminal comfort (SSH, git). No Mac Mini needed—use Hostinger VPS (code NATEHERK for 10% off annual).\n",[5715,5792,5794],{"class":5717,"line":5793},15,[5715,5795,5721],{"emptyLinePlaceholder":129},[5715,5797,5799],{"class":5717,"line":5798},16,[5715,5800,5801],{},"### Step 1: VPS Provisioning (16:30 timestamp)\n",[5715,5803,5805],{"class":5717,"line":5804},17,[5715,5806,5807],{},"- Sign up Hostinger VPS (Ubuntu 24.04 recommended, 2-4 vCPU, 4-8GB RAM for Hermes).\n",[5715,5809,5811],{"class":5717,"line":5810},18,[5715,5812,5813],{},"- SSH in: `ssh root@your-ip`.\n",[5715,5815,5817],{"class":5717,"line":5816},19,[5715,5818,5819],{},"- Update: `apt update && apt upgrade -y`.\n",[5715,5821,5823],{"class":5717,"line":5822},20,[5715,5824,5825],{},"- Install Docker: `curl -fsSL https:\u002F\u002Fget.docker.com -o get-docker.sh && sh get-docker.sh`.\n",[5715,5827,5829],{"class":5717,"line":5828},21,[5715,5830,5831],{},"- Add user: `adduser hermes && usermod -aG sudo,docker hermes`.\n",[5715,5833,5835],{"class":5717,"line":5834},22,[5715,5836,5837],{},"- Firewall: `ufw allow OpenSSH && ufw allow 80,443 && ufw enable`.\n",[5715,5839,5841],{"class":5717,"line":5840},23,[5715,5842,5721],{"emptyLinePlaceholder":129},[5715,5844,5846],{"class":5717,"line":5845},24,[5715,5847,5848],{},"### Step 2: Hermes Install\n",[5715,5850,5852],{"class":5717,"line":5851},25,[5715,5853,5854],{},"- Switch to hermes user: `su - hermes`.\n",[5715,5856,5858],{"class":5717,"line":5857},26,[5715,5859,5860],{},"- Clone repo: `git clone https:\u002F\u002Fgithub.com\u002FNooseResearch\u002FHermes.git && cd Hermes`.\n",[5715,5862,5864],{"class":5717,"line":5863},27,[5715,5865,5866],{},"- Docker compose: Edit `docker-compose.yml` for models (e.g., Claude via API keys), volumes.\n",[5715,5868,5870],{"class":5717,"line":5869},28,[5715,5871,5872],{},"- Secrets: Use `.env` for API keys (Anthropic, etc.)—**never** in memory files.\n",[5715,5874,5876],{"class":5717,"line":5875},29,[5715,5877,5878],{},"- Start: `docker compose up -d`.\n",[5715,5880,5882],{"class":5717,"line":5881},30,[5715,5883,5721],{"emptyLinePlaceholder":129},[5715,5885,5887],{"class":5717,"line":5886},31,[5715,5888,5889],{},"### Step 3: Telegram Integration (25:30)\n",[5715,5891,5893],{"class":5717,"line":5892},32,[5715,5894,5895],{},"- Create Telegram bot via @BotFather: Get token.\n",[5715,5897,5899],{"class":5717,"line":5898},33,[5715,5900,5901],{},"- In Hermes web UI (http:\u002F\u002Fyour-ip:3000), onboard: Paste bot token, chat ID (msg \u002Fstart to bot, copy ID).\n",[5715,5903,5905],{"class":5717,"line":5904},34,[5715,5906,5907],{},"- Test: Message bot—Hermes responds.\n",[5715,5909,5911],{"class":5717,"line":5910},35,[5715,5912,5721],{"emptyLinePlaceholder":129},[5715,5914,5916],{"class":5717,"line":5915},36,[5715,5917,5918],{},"Hermes auto-builds initial `user.md`\u002F`memory.md` from chats. **Pitfall**: Expose only necessary ports; use Cloudflare Tunnel for security.\n",[5715,5920,5922],{"class":5717,"line":5921},37,[5715,5923,5721],{"emptyLinePlaceholder":129},[5715,5925,5927],{"class":5717,"line":5926},38,[5715,5928,5929],{},"## Skills, Crons, Backup, and Scaling\n",[5715,5931,5933],{"class":5717,"line":5932},39,[5715,5934,5721],{"emptyLinePlaceholder":129},[5715,5936,5938],{"class":5717,"line":5937},40,[5715,5939,5940],{},"### First Skill and Cron (33:00)\n",[5715,5942,5944],{"class":5717,"line":5943},41,[5715,5945,5946],{},"- **Skill Example**: Paste Skills Hub URL: \"Install this generate-image skill.\"\n",[5715,5948,5950],{"class":5717,"line":5949},42,[5715,5951,5952],{},"- YAML frontmatter ensures targeted loading.\n",[5715,5954,5956],{"class":5717,"line":5955},43,[5715,5957,5958],{},"- **First Cron**: \"Create daily AI news briefing to Skool at 6AM.\" Hermes crafts cron.yaml, schedules via tools.\n",[5715,5960,5962],{"class":5717,"line":5961},44,[5715,5963,5721],{"emptyLinePlaceholder":129},[5715,5965,5967],{"class":5717,"line":5966},45,[5715,5968,5969],{},"### GitHub Backup (33:00)\n",[5715,5971,5973],{"class":5717,"line":5972},46,[5715,5974,5975],{},"- Init repo: `git init`, add all (`git add .`), commit, remote: `git remote add origin your-repo`.\n",[5715,5977,5979],{"class":5717,"line":5978},47,[5715,5980,5981],{},"- Cron backup: \"Daily GitHub push.\"\n",[5715,5983,5985],{"class":5717,"line":5984},48,[5715,5986,5987],{},"- **Pro Tip**: Use Claude Code to manage multi-agent repos—sync skills\u002Fmemory across Hermes\u002FOpenClaw.\n",[5715,5989,5991],{"class":5717,"line":5990},49,[5715,5992,5721],{"emptyLinePlaceholder":129},[5715,5994,5996],{"class":5717,"line":5995},50,[5715,5997,5998],{},"### Best Practices & Security (46:30)\n",[5715,6000,6002],{"class":5717,"line":6001},51,[5715,6003,6004],{},"- **Security**: API keys in `.env` only. Rate limits. No recursive crons. Isolate agents in subdirs.\n",[5715,6006,6008],{"class":5717,"line":6007},52,[5715,6009,6010],{},"- **DX**: Terminal for deep work (Claude Code better); Telegram for mobile\u002Fproactive.\n",[5715,6012,6014],{"class":5717,"line":6013},53,[5715,6015,6016],{},"- **Trade-offs**: Lighter\u002Ffaster than OpenClaw (350k stars, Nvidia NemoClaw fork); less breakage. Not for desk coding—pair with Claude.\n",[5715,6018,6020],{"class":5717,"line":6019},54,[5715,6021,5721],{"emptyLinePlaceholder":129},[5715,6023,6025],{"class":5717,"line":6024},55,[5715,6026,6027],{},"### Scaling Multiple Agents (50:30)\n",[5715,6029,6031],{"class":5717,"line":6030},56,[5715,6032,6033],{},"- Subdirs per agent: `agents\u002Fyt-comments`, `agents\u002Fnews`.\n",[5715,6035,6037],{"class":5717,"line":6036},57,[5715,6038,6039],{},"- Shared GitHub repo; distinct `soul.md`\u002F`memory.md`.\n",[5715,6041,6043],{"class":5717,"line":6042},58,[5715,6044,6045],{},"- VPS: Multiple Docker instances or subdomains.\n",[5715,6047,6049],{"class":5717,"line":6048},59,[5715,6050,6051],{},"- **Pitfall**: Context bloat—use `agents.md` for project silos.\n",[5715,6053,6055],{"class":5717,"line":6054},60,[5715,6056,5721],{"emptyLinePlaceholder":129},[5715,6058,6060],{"class":5717,"line":6059},61,[5715,6061,6062],{},"**Before\u002FAfter**: Raw request → poor video (bad spacing); feedback → Hyperframes install, polished output.\n",[5715,6064,6066],{"class":5717,"line":6065},62,[5715,6067,5721],{"emptyLinePlaceholder":129},[5715,6069,6071],{"class":5717,"line":6070},63,[5715,6072,6073],{},"**Exercise**: Install Excalidraw skill, generate pillar diagrams: \"Use Excal to diagram five pillars.\"\n",[5715,6075,6077],{"class":5717,"line":6076},64,[5715,6078,5721],{"emptyLinePlaceholder":129},[5715,6080,6082],{"class":5717,"line":6081},65,[5715,6083,6084],{},"## Comparisons and Workflow Fit\n",[5715,6086,6088],{"class":5717,"line":6087},66,[5715,6089,5721],{"emptyLinePlaceholder":129},[5715,6091,6093],{"class":5717,"line":6092},67,[5715,6094,6095],{},"| Tool | Use Case | Why Hermes? |\n",[5715,6097,6099],{"class":5717,"line":6098},68,[5715,6100,6101],{},"|------|----------|-------------|\n",[5715,6103,6105],{"class":5717,"line":6104},69,[5715,6106,6107],{},"| Claude Code | Desk\u002Fterminal coding (90% Nate's work) | Mobile, crons unlimited vs 15\u002Fday limit |\n",[5715,6109,6111],{"class":5717,"line":6110},70,[5715,6112,6113],{},"| OpenClaw | Similar mobile, but heavier\u002Fbreaks more | Lighter, self-improving, OSS models ready |\n",[5715,6115,6117],{"class":5717,"line":6116},71,[5715,6118,5721],{"emptyLinePlaceholder":129},[5715,6120,6122],{"class":5717,"line":6121},72,[5715,6123,6124],{},"Fits indie builders: On-the-go automations (YouTube replies, news briefs) without infra always-on.\n",[5715,6126,6128],{"class":5717,"line":6127},73,[5715,6129,5721],{"emptyLinePlaceholder":129},[5715,6131,6133],{"class":5717,"line":6132},74,[5715,6134,6135],{},"**Quotes**:\n",[5715,6137,6139],{"class":5717,"line":6138},75,[5715,6140,6141],{},"1. \"Hermes probably understands it the best and it can also look up its own documentation so just ask it hey can you do this.\" (On troubleshooting.)\n",[5715,6143,6145],{"class":5717,"line":6144},76,[5715,6146,6147],{},"2. \"Memory equals what to remember, skill equals how to do it again.\" (Pillar distinction.)\n",[5715,6149,6151],{"class":5717,"line":6150},77,[5715,6152,6153],{},"3. \"Crons turn Hermes from reactive into a proactive scheduled automation.\" (Key value prop.)\n",[5715,6155,6157],{"class":5717,"line":6156},78,[5715,6158,6159],{},"4. \"Automatic does not mean magic—the loop works best when the user corrects Hermes.\" (Self-improvement reality check.)\n",[5715,6161,6163],{"class":5717,"line":6162},79,[5715,6164,5721],{"emptyLinePlaceholder":129},[5715,6166,6168],{"class":5717,"line":6167},80,[5715,6169,6170],{},"## Key Takeaways\n",[5715,6172,6174],{"class":5717,"line":6173},81,[5715,6175,6176],{},"- Start with VPS (Hostinger Ubuntu), Docker install Hermes, Telegram bot for instant access.\n",[5715,6178,6180],{"class":5717,"line":6179},82,[5715,6181,6182],{},"- Prime memory\u002Fsoul files early; let Hermes auto-update but manually reinforce.\n",[5715,6184,6186],{"class":5717,"line":6185},83,[5715,6187,6188],{},"- Build skills via hub or convos; use YAML for efficiency.\n",[5715,6190,6192],{"class":5717,"line":6191},84,[5715,6193,6194],{},"- Schedule crons in natural language—self-contained prompts only.\n",[5715,6196,6198],{"class":5717,"line":6197},85,[5715,6199,6200],{},"- GitHub backup everything; scale via subdirs for multi-agents.\n",[5715,6202,6204],{"class":5717,"line":6203},86,[5715,6205,6206],{},"- Pair with Claude Code: Hermes for mobile\u002Fproactive, Claude for deep work.\n",[5715,6208,6210],{"class":5717,"line":6209},87,[5715,6211,6212],{},"- Avoid: Secrets in MD files, recursive crons, ignoring feedback loops.\n",[5715,6214,6216],{"class":5717,"line":6215},88,[5715,6217,6218],{},"- Test: Natural request → skill install → cron → iterate.\n",[5715,6220,6222],{"class":5717,"line":6221},89,[5715,6223,6224],{},"- Resource: Free Skool guide for copy-paste setup.\n",[6226,6227,6228],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":99,"searchDepth":100,"depth":100,"links":6230},[6231],{"id":5666,"depth":100,"text":5667},[160],{"content_references":6234,"triage":6251},[6235,6239,6243,6246,6249],{"type":114,"title":6236,"author":6237,"url":6238,"context":117},"Hermes Agent","Noose Research","https:\u002F\u002Fgithub.com\u002FNooseResearch\u002FHermes",{"type":114,"title":6240,"url":6241,"context":6242},"Hostinger VPS","https:\u002F\u002Fwww.hostinger.com\u002Fvps\u002Fclaude-code-hosting","recommended",{"type":114,"title":6244,"author":6245,"context":117},"Claude Code","Anthropic",{"type":114,"title":6247,"author":6248,"context":117},"OpenClaw","Peter Steinberger",{"type":114,"title":6250,"context":117},"Skills Hub",{"relevance":125,"novelty":126,"quality":126,"actionability":125,"composite":6252,"reasoning":6253},4.55,"Category: AI Automation. The article provides a detailed, step-by-step guide on deploying the Hermes AI Agent, which directly addresses the audience's need for practical applications in AI automation. It includes specific instructions for setting up and scaling the agent, making it immediately actionable for builders.","\u002Fsummaries\u002Ffe0a5dd69976e317-build-hermes-ai-agent-vps-setup-to-scaled-automati-summary","2026-05-10 02:42:25","2026-05-10 15:22:01",{"title":5655,"description":99},{"loc":6254},"c931d1c171f90d29","Nate Herk | AI Automation","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=gb5TlGw6Uks","summaries\u002Ffe0a5dd69976e317-build-hermes-ai-agent-vps-setup-to-scaled-automati-summary",[143,142,144,6265],"ai-automation","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fgb5TlGw6Uks\u002Fhqdefault.jpg","Follow this step-by-step guide to deploy Hermes Agent on a VPS, integrate Telegram, create skills\u002Fcrons, backup to GitHub, and scale multiple agents for proactive AI assistance.","A hands-on 1-hour screen-share tutorial deploying open-source [Hermes Agent](http:\u002F\u002Fhostinger.com\u002Fnatehermes) to a [Hostinger VPS](https:\u002F\u002Fwww.hostinger.com\u002Fvps\u002Fclaude-code-hosting), connecting it to Telegram, adding your first skill and cron job, GitHub backup, plus comparisons to Claude Code\u002FOpenClaw and scaling tips.",[6265],"b8Xn0iSSv145vSBXaAH2EG_xEHHkVmAAxa37Nzr0iH8",{"id":6272,"title":6273,"ai":6274,"body":6279,"categories":6313,"created_at":108,"date_modified":108,"description":99,"extension":109,"faq":108,"featured":110,"kicker_label":108,"meta":6314,"navigation":129,"path":6325,"published_at":6326,"question":108,"scraped_at":6327,"seo":6328,"sitemap":6329,"source_id":6330,"source_name":6331,"source_type":137,"source_url":6332,"stem":6333,"tags":6334,"thumbnail_url":108,"tldr":6336,"tweet":6337,"unknown_tags":6338,"__hash__":6339},"summaries\u002Fsummaries\u002Fd0e971554e468892-symphony-agents-autonomously-claim-and-complete-ta-summary.md","Symphony: Agents Autonomously Claim and Complete Tasks",{"provider":7,"model":5657,"input_tokens":6275,"output_tokens":6276,"processing_time_ms":6277,"cost_usd":6278},5327,1436,20519,0.0017609,{"type":14,"value":6280,"toc":6308},[6281,6285,6288,6291,6295,6298,6301,6305],[17,6282,6284],{"id":6283},"bypass-human-bottlenecks-with-autonomous-task-orchestration","Bypass Human Bottlenecks with Autonomous Task Orchestration",[22,6286,6287],{},"OpenAI built Symphony to address engineers supervising only 3-5 Codex CLI sessions concurrently before context-switching hurt productivity. Instead of manual oversight, Symphony integrates with issue trackers like Linear: agents poll for tasks in 'to-do' states, claim them by updating status, create isolated workspaces matching issue IDs, run Codex to complete work, then mark issues 'done' with comments linking outputs. This scales agent teams without human managers—agents handle routine coding autonomously, flagging humans only for reviews. In demos, it builds a TypeScript Bun 'Hello World' app from scratch, validating GraphQL errors via Codex self-fixes.",[22,6289,6290],{},"Trade-offs: Barebones by design, lacking built-in repo cloning or PR creation, so not production-ready out-of-box. But this enables customization: users add pre\u002Fpost-hooks in workflow YAML. For example, a 'create after' hook clones a repo to the workspace and checks out a new branch; a 'run after' hook stages changes, commits, pushes, and opens a PR with issue links—transforming Symphony into a full CI\u002FCD agent for apps like film emulation tools.",[17,6292,6294],{"id":6293},"prompt-driven-installation-builds-ownership","Prompt-Driven Installation Builds Ownership",[22,6296,6297],{},"Skip cloning Elixir repo (traditional Option 2: clone, build, run via workflow). Use Option 1: Feed agents OpenAI's 2000+ line spec prompt detailing Symphony's architecture. Agents recreate it in any language—Python (easy for LLMs), Go (with Charm CLI), or Claude SDK variants. This genius chaos ensures no two installs match: users own their version, fixing bugs and adding features themselves, reducing OpenAI maintenance. Requires Linear personal API key in YAML workflow (active states like 'to-do', workspace root, Codex command). Tools like UV run Python versions; access OpenAI's YAML from repo.",[22,6299,6300],{},"Why it works: Forces deep understanding, customizes to needs (e.g., swap Linear\u002FCodex). Downside: Chaos for support, but fosters community forks.",[17,6302,6304],{"id":6303},"symphony-as-customizable-base-vs-polished-alternatives","Symphony as Customizable Base vs. Polished Alternatives",[22,6306,6307],{},"Position Symphony as 'Pi harness'—minimal orchestrator for exact needs, unlike feature-rich MultiOn (easier setup, multi-agents, scheduling) or Conductor ('Claw Code'). Ideal if using Linear\u002FCodex: leverage existing MCP tools\u002Fplugins. Vision: Central agent hub for 'AI dev teams'—shared workflows\u002Ftools across tasks, visibility into others' prompts\u002Ffeatures to spot conflicts. Extend via Codex for better PR descriptions\u002Flinks. Not for non-Linear\u002FCodex users yet, but proves agent orchestration scales coding without humans.",{"title":99,"searchDepth":100,"depth":100,"links":6309},[6310,6311,6312],{"id":6283,"depth":100,"text":6284},{"id":6293,"depth":100,"text":6294},{"id":6303,"depth":100,"text":6304},[160],{"content_references":6315,"triage":6323},[6316,6320],{"type":6317,"title":6318,"url":6319,"context":117},"other","Open-source Codex orchestration: Symphony","https:\u002F\u002Fopenai.com\u002Findex\u002Fopen-source-codex-orchestration-symphony\u002F",{"type":114,"title":6321,"url":6322,"context":117},"Symphony","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fsymphony",{"relevance":125,"novelty":126,"quality":126,"actionability":126,"composite":127,"reasoning":6324},"Category: AI Automation. The article discusses Symphony, an AI tool that autonomously manages coding tasks, addressing a specific pain point of human bottlenecks in supervision. It provides actionable insights on how to implement Symphony using a prompt-driven installation, which is directly applicable for developers looking to enhance productivity.","\u002Fsummaries\u002Fd0e971554e468892-symphony-agents-autonomously-claim-and-complete-ta-summary","2026-05-09 09:45:06","2026-05-09 15:12:07",{"title":6273,"description":99},{"loc":6325},"7ddadf38929851d3","Better Stack","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=n8qDKMPpLXc","summaries\u002Fd0e971554e468892-symphony-agents-autonomously-claim-and-complete-ta-summary",[143,6335,144,142],"ai-tools","OpenAI's Symphony uses issue trackers like Linear to let coding agents claim tasks, spin up isolated workspaces, and only ping humans for reviews—solving the 3-5 session supervision bottleneck. Install by prompting an agent with a 2000+ line spec to build it.","Walkthrough of [Symphony](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fsymphony) ([announcement](https:\u002F\u002Fopenai.com\u002Findex\u002Fopen-source-codex-orchestration-symphony\u002F)), OpenAI's open-source tool for letting coding agents autonomously claim and complete Linear issues in isolated workspaces. Demos basic setup via repo clone or agent-built from a 2k-line spec, plus hooks for PRs, and calls it barebones vs. MultiOn or Conductor—not production-ready yet.",[],"rtC7pWzZ7ssomNPT_4ZwybZ9r5bVqZfUkki8xhnZNos",{"id":6341,"title":6342,"ai":6343,"body":6348,"categories":6382,"created_at":108,"date_modified":108,"description":99,"extension":109,"faq":108,"featured":110,"kicker_label":108,"meta":6383,"navigation":129,"path":6394,"published_at":6395,"question":108,"scraped_at":6396,"seo":6397,"sitemap":6398,"source_id":6399,"source_name":6400,"source_type":137,"source_url":6401,"stem":6402,"tags":6403,"thumbnail_url":108,"tldr":6405,"tweet":108,"unknown_tags":6406,"__hash__":6407},"summaries\u002Fsummaries\u002F1f50685b37434dec-symphony-agents-autonomously-manage-tasks-from-lin-summary.md","Symphony: Agents Autonomously Manage Tasks from Linear",{"provider":7,"model":5657,"input_tokens":6344,"output_tokens":6345,"processing_time_ms":6346,"cost_usd":6347},4656,2098,16607,0.0019577,{"type":14,"value":6349,"toc":6377},[6350,6354,6357,6360,6364,6367,6370,6374],[17,6351,6353],{"id":6352},"eliminate-human-bottlenecks-by-letting-agents-pull-work","Eliminate Human Bottlenecks by Letting Agents Pull Work",[22,6355,6356],{},"OpenAI identified human attention as the key limiter in scaling AI agents: developers could only juggle 3-5 parallel Codex sessions before context-switching killed productivity. Instead of micromanaging, Symphony flips the workflow—agents monitor task trackers like Linear, claim unblocked \"Todo\" tickets, advance them through \"In Progress,\" \"Review,\" and \"Merging\" states, and restart if they crash. This turns Linear into a state machine where agents handle routine tasks in parallel, including multi-repo PRs, research, or analysis without code. Product managers submit feature requests directly and receive review packages with video walkthroughs, bypassing repo checkouts.",[22,6358,6359],{},"Agents also spot ancillary issues like performance bugs or refactors and file new tickets autonomously, enabling opportunistic improvements without derailing the main task. Blockers respect dependencies, e.g., a React upgrade waits for Vite migration. To leverage LLM reasoning, assign high-level goals over rigid steps: provide tools, context, and let models \"cook,\" as OpenAI's team advises—this adapts to improving models tackling larger problems than initial templates anticipate.",[17,6361,6363],{"id":6362},"simple-spec-driven-implementation-scales-across-languages","Simple Spec-Driven Implementation Scales Across Languages",[22,6365,6366],{},"At its core, Symphony is a Markdown SPEC.md defining the problem and solution, plus WORKFLOW.md outlining steps like accepting tickets, checking out repos, attaching PRs\u002Fvideos, and updating status. Agents implement this themselves—no complex monitoring system needed. OpenAI's Elixir reference handles concurrency well; Codex generated one-shot ports to TypeScript, Go, Rust, Java, and Python for validation.",[22,6368,6369],{},"Editing WORKFLOW.md propagates process changes instantly. Deploy as open-source reference (not maintained product), forking easily—e.g., adapt for Anthropic's Claude Code with GitHub Issues. Pairs with OpenAI's ChatGPT workspace agents for offline-running team automation via Slack.",[17,6371,6373],{"id":6372},"measurable-gains-with-clear-task-boundaries","Measurable Gains with Clear Task Boundaries",[22,6375,6376],{},"Internal OpenAI teams saw merged pull requests increase sixfold in the first three weeks. Linear reported spikes in new workspaces post-release. Use Symphony for routine, well-defined work to free humans for ambiguous problems requiring judgment, handled via interactive sessions. Avoid overapplying: it's a workload absorber, not universal replacement.",{"title":99,"searchDepth":100,"depth":100,"links":6378},[6379,6380,6381],{"id":6352,"depth":100,"text":6353},{"id":6362,"depth":100,"text":6363},{"id":6372,"depth":100,"text":6373},[160],{"content_references":6384,"triage":6392},[6385,6386,6389],{"type":114,"title":6321,"url":6322,"context":117},{"type":6317,"title":6387,"url":6388,"context":117},"Symphony with Claude Code","https:\u002F\u002Fsapsaldog.com\u002Fposts\u002Fsymphony-with-claude-code",{"type":6317,"title":6390,"url":6391,"context":117},"OpenAI launches workspace agents that turn ChatGPT from a chatbot into a team automation platform","https:\u002F\u002Fthe-decoder.com\u002Fopenai-launches-workspace-agents-that-turn-chatgpt-from-a-chatbot-into-a-team-automation-platform\u002F",{"relevance":125,"novelty":126,"quality":126,"actionability":125,"composite":6252,"reasoning":6393},"Category: AI Automation. The article discusses OpenAI's Symphony, which allows agents to autonomously manage tasks, addressing the pain point of human bottlenecks in productivity. It provides a concrete implementation strategy with a Markdown spec and workflow, making it immediately actionable for developers looking to integrate AI agents into their processes.","\u002Fsummaries\u002F1f50685b37434dec-symphony-agents-autonomously-manage-tasks-from-lin-summary","2026-05-04 09:35:53","2026-05-04 16:13:38",{"title":6342,"description":99},{"loc":6394},"1f50685b37434dec","The Decoder","https:\u002F\u002Fthe-decoder.com\u002Fopenai-says-human-attention-is-the-bottleneck-so-it-built-a-system-to-let-agents-manage-themselves\u002F","summaries\u002F1f50685b37434dec-symphony-agents-autonomously-manage-tasks-from-lin-summary",[143,144,6404,142],"llm","OpenAI's Symphony spec lets Codex agents pull open tickets from Linear, work independently until completion, and self-file issues—boosting merged PRs 6x in 3 weeks by eliminating human micromanagement.",[],"hxXdreyLAmplaIBvImXxGLKl7Hq-to5TTcJsuiEw44s",{"id":6409,"title":6410,"ai":6411,"body":6416,"categories":6456,"created_at":108,"date_modified":108,"description":99,"extension":109,"faq":108,"featured":110,"kicker_label":108,"meta":6457,"navigation":129,"path":6468,"published_at":6469,"question":108,"scraped_at":6470,"seo":6471,"sitemap":6472,"source_id":6473,"source_name":6331,"source_type":137,"source_url":6474,"stem":6475,"tags":6476,"thumbnail_url":108,"tldr":6477,"tweet":108,"unknown_tags":6478,"__hash__":6479},"summaries\u002Fsummaries\u002F1678e4778ac4cae9-hermes-self-improving-agent-builds-skills-from-con-summary.md","Hermes: Self-Improving Agent Builds Skills from Conversations",{"provider":7,"model":5657,"input_tokens":6412,"output_tokens":6413,"processing_time_ms":6414,"cost_usd":6415},5366,1663,9984,0.0018822,{"type":14,"value":6417,"toc":6451},[6418,6422,6425,6429,6440,6444],[17,6419,6421],{"id":6420},"memory-system-enables-cross-session-recall-without-token-burn","Memory System Enables Cross-Session Recall Without Token Burn",[22,6423,6424],{},"Hermes persists all conversations in an SQLite database using FTS5 full-text search, allowing queries like \"recall yesterday's discussion\" to fetch exact matches without loading full history. Memory loads as a pre-compacted ~3,500-character snippet (~700 tokens) per session, avoiding context overflow. At 50% context window usage, it compresses by stripping old tool call outputs, retaining session head\u002Ftail, and middle summaries—more aggressive than OpenClaw's 80% threshold. External processors like Supermemory, Mem0, or OpenVikings can replace the default memory.md file. Hermes auto-nudges every ~10 turns to extract and save key facts or skills, ensuring long-term retention for tasks like matching your exact tweet style (e.g., pragmatic\u002Fdeveloper-centric voice, 400-char length, specific emojis, avoiding hype like \"incredible\").",[17,6426,6428],{"id":6427},"auto-skill-creation-turns-feedback-into-reusable-tools","Auto-Skill Creation Turns Feedback into Reusable Tools",[22,6430,6431,6432,6435,6436,6439],{},"Interact once, and Hermes generates persistent skills via its Skill Manager—no manual coding needed. In a demo, it analyzed video scripts, internalized feedback (e.g., swap \"breaking a sweat\" for neutral phrasing, prefer \"really good\"), then built a \"tweet generator\" skill outputting 3+ options or threads. Invoke with ",[59,6433,6434],{},"\u002Fskill tweet"," in new sessions; it recalls preferences without prompts. Switch models mid-chat via ",[59,6437,6438],{},"model \u002Fglm-4-turbo"," for speed\u002Fcost (e.g., from Gemma 2 to GLM-4-Turbo). Skills evolve from experience, making Hermes self-improving: use it daily, and it handles repetitive tasks like content promotion autonomously.",[17,6441,6443],{"id":6442},"practical-trade-offs-vs-mature-agents-like-openclaw","Practical Trade-offs vs. Mature Agents Like OpenClaw",[22,6445,6446,6447,6450],{},"Install via simple CLI (",[59,6448,6449],{},"pip install hermes-agent","), supports local\u002FVPS runs with any OpenAI-compatible model. Demo generated tweet threads from YouTube scripts in one session, fully recalled in a fresh one. Strengths: zero re-uploads, automatic evolution for personal workflows. Limits: immature vs. OpenClaw (fewer channels, weaker sandboxing); sessions start new unless specified; higher context use early on. Run cheap models like GLM-4 for daily assistance—test for 1 month to build production habits, as it extrapolates from short interactions to complex recall.",{"title":99,"searchDepth":100,"depth":100,"links":6452},[6453,6454,6455],{"id":6420,"depth":100,"text":6421},{"id":6427,"depth":100,"text":6428},{"id":6442,"depth":100,"text":6443},[157],{"content_references":6458,"triage":6466},[6459,6461,6462,6464],{"type":114,"title":6236,"url":6460,"context":117},"https:\u002F\u002Fgithub.com\u002Fnousresearch\u002Fhermes-agent",{"type":114,"title":6247,"context":117},{"type":114,"title":6463,"context":117},"NanoClaw",{"type":114,"title":6465,"context":117},"Claw Agent SDK",{"relevance":126,"novelty":126,"quality":126,"actionability":126,"composite":126,"reasoning":6467},"Category: AI & LLMs. The article provides a detailed overview of the Hermes agent's capabilities, addressing specific pain points like memory management and skill generation, which are relevant for developers looking to implement AI features. It includes practical implementation details, such as using SQLite for memory storage and the command-line installation process, making it actionable for the audience.","\u002Fsummaries\u002F1678e4778ac4cae9-hermes-self-improving-agent-builds-skills-from-con-summary","2026-04-15 19:00:26","2026-04-19 03:29:44",{"title":6410,"description":99},{"loc":6468},"1678e4778ac4cae9","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=HdxtLpL9CC8","summaries\u002F1678e4778ac4cae9-hermes-self-improving-agent-builds-skills-from-con-summary",[143,6335,142,144],"Hermes stores sessions in SQLite with FTS5 for full-text search, compresses context at 50% window to save tokens, and auto-generates reusable skills every 10 turns, recalling your style across sessions without re-uploads.",[],"7AtXcNVFxUUl8C1Gy1GMSD55E-DdrpmuBUGNT4OYRUM"]