🎯 Goal-driven execution helper for long-running tasks and explicit success criteria
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Updated
Mar 31, 2026 - Python
🎯 Goal-driven execution helper for long-running tasks and explicit success criteria
ai42z is an innovative framework designed to transform Large Language Models (LLMs) into autonomous, self-learning AI agents. The framework stands out by enabling AI agents to build and maintain a cumulative knowledge base through real-world experience, moving beyond the limitations of traditional static instruction-following systems.
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Local, Wire-first, proof-driven orchestration for Kimi CLI: scheduler-backed teams, verification gates, run timelines, and proof reports.
Self-hosted AI agent that executes goals autonomously — web search, code execution, document generation, browser automation, delivered to Telegram/Discord/Slack. Docker, 18+ LLMs, 17 MCP servers. v2 adding human proxy + meeting join.
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Cognitive layer above CocoonSet in the cocoonstack agent-infra design. A Mind Agent reaches Goal consensus with the user, dispatches a group of CocoonSets, and a first-class Verifier judges convergence toward the end-state. Three-tier memory (SSOT / Session-Log WAL / view) with Log-backed deterministic rollback.
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