ctxr-dev/llm-wiki-memory
Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
npx add-skill ctxr-dev/llm-wiki-memoryLocal, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Claude Code / agent skill: how to use AgentMark (CLI, prompts, datasets, evals, deploys). Auto-generated from agentmark-ai/agentmark.
Self-implemented Harness architecture multi-agent system based on LangGraph & self-designed MCP protocol, with pluggable skills, resilience governance, RAG & conversation memory.
43 composable skills that turn an AI coding agent into a product team — research, marketing, product, and meta-process. Install via npx plugins add hungv47/meta-skills (also works with npx skills add) or the Claude Code plugin marketplace.
Track meals and workouts with AI-powered analysis to get personalized fitness and diet plans through natural conversation.
Connect LangChain agents to The Colony platform for shared knowledge, collaborative intelligence, and distributed agent communication.