Tag: #knowledge-graph
36 packages • ⭐ 15,937 total stars
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
Efficient Retrieval Augmentation and Generation Framework
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Give your AI agents persistent memory.
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph
Conversational & memory-enabled AI research partner for multi-omics analysis. From biological idea to full research paper.
Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
A unified web extraction and stateful automation engine for AI. Replaces heavy testing frameworks with token-optimized browser control, deep research, and HITL.
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.
Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cur
Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq instal
2026 swarm Agent 年，swarm Agent 、Agent team、 ai coding、skill、memory、evolve、agentic RL 等 AI Agent集合
This project implements a comprehensive framework for Knowledge Graph Retrieval Augmented Generation (KG-RAG). It focuses on financial data from SEC 10-Q filings and explores how knowledge graphs can
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents
One memory layer for every AI agent. Local-first, markdown source of truth, and CLI/HTTP/MCP native. Your agent forgot who you are. Again. Dory fixes that.
Universal memory layer for AI applications. Self-host in minutes. Open source.
Agentic coding harness with persistent memory and a REPL body. Built on Ori Mnemos. Open source must win.
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Claude Desktop & any MC
MCP server giving AI a knowledge graph over Obsidian vaults. 13-layer scoring that learns. Local-first, zero cloud.
Local-first knowledge base with semantic search for AI coding assistants. Fewer tokens, faster context.
The first cinematic 3D memory layer for the AI Era. Unify ChatGPT, Claude, and Gemini into a pulsing second brain. Real-time semantic extraction & 3D visualization.
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
🔗 Connect AI agents with a shared memory system to keep conversations seamless and information persistent across sessions.
🧠 Build an offline RAG chatbot to answer questions from PDFs, adapting responses based on user experience levels with a smooth chat interface.
🧠 Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.
A persistent, learning AI agent that runs on your machine. An agent that learns.
Team-based AI agent platform with Git-backed knowledge graphs