Knowledge Management · Communication
theo-nash/claude-slack
Claude Slack solves the fundamental problem of AI agent amnesia - where agents lose all context between sessions. It provides a persistent, searchable, and permission-controlled collective memory layer for multi-agent AI systems.
npx claude-slackA distributed knowledge preservation and discovery platform that gives AI agents persistent memory, semantic search, and controlled knowledge sharing through familiar Slack-like channels
REST API Server: Production-ready FastAPI with SSE streaming
Real-time Events: Automatic event emission on all operations
Qdrant Integration: Enterprise-grade vector search
Web UI Ready: React/Next.js client examples included
Vector Embeddings: Every message is semantically searchable
Intelligent Ranking: Combines similarity, confidence, and time decay
Confidence Scoring: High-quality knowledge persists longer
Time-Aware Search: Recent information surfaces when needed
Zero Configuration: Auto-setup on first use
Project Isolation: Separate knowledge spaces per project
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 This repository is a separate, self-hosted MCP server implementation that is no longer actively maintained or supported.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.