Custom Telegram Agent Beats OpenClaw with Full Control
CC Claw replaces OpenClaw via 30-day vibe coding: Telegram interface switches Claude/Gemini/Cursor/Codex backends with memory preservation, adds gated actions, self-evolution, and sub-agents for reliable autonomy.
Vibe Coding Delivers Production Agents Without Deep Dev Skills
Build serious agents through iterative "vibe coding": start with detailed specs, generate implementation plans, conduct AI-driven code reviews, and refactor repeatedly. This process took 30 days of nightly tuning for CC Claw, handling bugs and stability absent in quick "few-hour" builds. Non-developers can create addictive, evolving systems by treating planning as code—e.g., evolve from Claude Code backend to multi-tool CLI integration (Claude, Gemini, Cursor, Codex). Outcome: Telegram-only interface curates news from GitHub/Reddit/media/X, formats posts with bold headlines, spacing, and "why it matters" for personal channels, replacing OpenClaw's limitations like poor account rotation.
Preserve Context Across Multi-Model Switches and Permissions
Maintain chat memory when rotating LLMs by saving summarized conversations via a backend summarizer agent—select models like Gemini Pro at high settings. Rotate personal API keys/accounts on usage timeouts (e.g., Gemini Pro issues), toggling signatures to track active model/thinking level/account. Control risks with permissions: "safe" limits to read-only tools; "plan" for analysis/proposals; "gated" requires approve/reject per action (e.g., file creation outside workspace). Verbosity modes expose backend tools/actions for debugging; direct shell access (pwd, restarts) bypasses agent. Status commands reveal real-time backend issues, unlike OpenClaw's delays. Result: YOLO autonomy without full sandbox lock-in, executing tasks like Downloads/test.txt creation securely.
Self-Evolution and Skills Optimization for Continuous Improvement
Run nightly cron jobs for reflection: analyze interactions, feedback ("right/wrong"), issues to propose identity/skills/context file changes—review/apply/reject/discuss manually to avoid unwanted directions. Audit files (souls.md, identity.md, user.md) for contradictions, misplaced info (e.g., move user data from souls.md); optimize skills by trimming token-heavy wording. Skills system includes built-ins, CC Claw-specific, and universal manager: scan/download MCPs (e.g., Perplexity), check for risks/prompt injection, distribute. Elaborate memory with episodic recall, decay, /remember commands, and agent-searchable MCP. Chrome jobs handle scanning (news/GitHub/PRs), heartbeat, daily status. Voice: integrate 11 Labs/Grok/MacOS (Samantha/Albert) for TTS responses.
Scale Tasks with Sub-Agents and AI Councils
Spawn sub-agents natively or via environment: e.g., Gemini Pro + Codex 54 + Sonnet 3.5 on shared task lists, coordinating via built-in MCP tools like Claude agent teams. Create debates/councils—select models, query for deliberation/consensus. Jobs menu tracks all (news scanner, GitHub monitor, reflection). This turns solo agents into teams, handling complex workflows like news proposal → investigation → formatted post, exceeding OpenClaw in flexibility and control.