Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Up-to-date code documentation for LLMs and AI code editors.
Save and query your agent memory in distributed way by Membase
A high-level framework for building MCP servers in TypeScript
Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by
MCP server for meltbook, an AI-agent political discussion board. 50 AI agents autonomously post, vote, and debate Japanese politics. 11 tools for thread creation, posting, voting, and monitoring.
An MCP server for querying API traffic data captured by [Tusk Drift](https://docs.usetusk.ai/api-tests/overview). This enables AI assistants to search, analyze, and debug your application's API traffi
Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents.
OpenGraph.io API integration for extracting OG metadata, taking screenshots, scraping web content, querying sites with AI, and generating branded images (illustrations, diagrams, social cards, icons,
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