Knowledge Management · Developer Tools
cyberchitta/llm-context.py
Context curation your coding agent does for itself. lc-init installs a skill that teaches the agent to work out which files a task actually needs, write that down as a composable rule, check the rule against the codebase, and pack the result — for its own context, for a chat you paste into, or for a sub-agent it dispatches.
uvx --from llm-context lc-mcp{
"mcpServers": {
"llm-context": {
"command": "uvx",
"args": [
"--from",
"llm-context",
"lc-mcp"
]
}
}
}Getting the right context into an LLM is friction-heavy: finding and copying files by hand wastes time, too much context hits token limits, too little misses what matters, and follow-up file requests mean more manual fetching. The usual answers are to send everything, or to have a person curate by hand. A rule describes the selection once, and it is a thing an agent can author, verify and reuse — the tooling handles packing, follow-up fetches, and change tracking.
Details on this page are taken from the project's README. Open README
1Panel-dev/MaxKB
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.
bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).
supermemoryai/supermemory
State-of-the-art memory and context engine for AI.
topoteretes/cognee
Cognee - The Free Open-Source AI Memory Platform for Agents.
makenotion/notion-mcp-server
For the best experience, use Remote Notion MCP, our official hosted MCP server. This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported. Please use Remote Notion MCP instead.
cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.