Retrieval-Augmented Generation (RAG)

Universal MCP Server with advanced AI memory capabilities and semantic search.

Quelle

MCP-Registry

Domänen

Agenten, Skills und MCP

Einsatzzwecke

Retrieval-Augmented Generation (RAG)

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Quelle

GitHub

Sprache

TypeScript

Domänen

Agenten, Skills und MCP, KI / LLM

Einsatzzwecke

Agenten-Skills, Retrieval-Augmented Generation (RAG), Code-Assistenten

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP

Einsatzzwecke

Agenten-Skills, Retrieval-Augmented Generation (RAG)

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP

Einsatzzwecke

Agenten-Skills, Retrieval-Augmented Generation (RAG)

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP, KI / LLM

Einsatzzwecke

Agenten-Skills, Retrieval-Augmented Generation (RAG), Code-Assistenten

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP, KI / LLM, Web / JavaScript

Einsatzzwecke

Retrieval-Augmented Generation (RAG)

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP

Einsatzzwecke

Retrieval-Augmented Generation (RAG)

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP, Web / JavaScript

Einsatzzwecke

Token-Effizienz, Retrieval-Augmented Generation (RAG), Code-Assistenten

Ontology-Augmented Generation for AI agents.

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP

Einsatzzwecke

Agenten-Skills, Retrieval-Augmented Generation (RAG)

Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.

Quelle

GitHub

Sprache

Python

Domänen

Agenten, Skills und MCP, Cloud, KI / LLM, Web / JavaScript

Einsatzzwecke

Retrieval-Augmented Generation (RAG)