upstash/context7 A
Up-to-date code documentation for LLMs and AI code editors.
Self-hosted semantic memory server, served over MCP, for an engineering team's tribal knowledge: the tacit decisions and hard-won reasoning behind the code, captured once and kept queryable for the team and the agents they work with. Postgres-backed (pgvector).
Build from source (Rust)
git clone https://github.com/tribal-memory/tribal.git
cd tribal
cargo build --releaseTransparent heuristic — same formula for every entry. Total 60/100.
Up-to-date code documentation for LLMs and AI code editors.
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.
Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.
Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read, create, edit, tag, and template notes — same vault that powers the web UI. Pure-stdlib client, no extra deps, MIT-licensed. Can run in Docker.