LLM-wiki LLM-compiled knowledge bases with multi-agent research v0.0.20
Multi-agent research with fuzzy routing and cross-wiki synthesis.
An embeddable cross-platform AI agent library written in C. Cloud and local LLMs, tool calling, long-term memory, voice, sessions, research mode, self-evolving loops. The SQLite of agent frameworks: small, portable, just works.
Agent framework in a single C header file that actually runs local models offline.
C/C++ developers, embedded systems engineers, privacy-focused AI builders
LangChain · LlamaIndex · Semantic Kernel
Multi-agent research with fuzzy routing and cross-wiki synthesis.
Proves text safety ≠ tool-call safety; catches hidden harmful executions deterministically.
Zero-LLM writes with Hebbian learning cuts token costs 77× versus extraction memory.
Modular context folders beat monolithic prompts for scaling AI agent instructions.
Kernel interception stops runaway agents where LangGraph and AutoGen only advise.
CTF-style flags for voice prompt injection make learning LLM security actually fun.