upstash/context7 A
Up-to-date code documentation for LLMs and AI code editors.
On-demand Obsidian vault access via MCP. Adaptive context loading (67-82% token savings), full-text and ranked search, health checks, auto git commit, and worker delegation to cheaper models. 10 tools, works with any MCP client.
Example client config (verify package name in the repo README)
{
"mcpServers": {
"hive": {
"command": "uvx",
"args": ["hive"]
}
}
}Transparent 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.