upstash/context7 A
Up-to-date code documentation for LLMs and AI code editors.
Local-first, auditable memory layer for Codex, Claude Code, and MCP clients. Stores scoped user/project memory in SQLite or Postgres, exposes read-only recall, trace, stats, and artifact tools by default, and supports opt-in governed writeback with review, forget, and audit controls. Published as `io.github.hjqcan/goodmemory` in the official MCP Registry.
Example client config (verify package name in the repo README)
{
"mcpServers": {
"GoodMemory": {
"command": "npx",
"args": ["-y", "GoodMemory"]
}
}
}Transparent heuristic — same formula for every entry. Total 62/100.
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.