Search results for "knowledge-graph"
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.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
EdegQuake π High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
NEXO Brain β 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
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
π₯ Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
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
2026 swarm Agent εΉ΄οΌswarm Agent γAgent teamγ ai codingγskillγmemoryγevolveγagentic RL η AI Agentιε
Dragon Brain β 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
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Conversational & memory-enabled AI research partner for multi-omics analysis. From biological idea to full research paper.
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
A unified web extraction and stateful automation engine for AI. Replaces heavy testing frameworks with token-optimized browser control, deep research, and HITL.
Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.
π¦ Agentic RAG for drug intelligence Β· 57 skills Β· 15 task categories Β· DTI Β· ADR Β· DDI Β· PGx Β· Repurposing Β· Powered by LangGraph
π€ Kubernetes for AI Agents. Self-hosted, production-grade runtime for orchestrating LLM swarms and autonomous agents. TypeScript-native.
GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.
Give your AI agents persistent memory.
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
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
Universal memory layer for AI applications. Self-host in minutes. Open source.
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
Agentic coding harness with persistent memory and a REPL body. Built on Ori Mnemos. Open source must win.
π Connect AI agents with a shared memory system to keep conversations seamless and information persistent across sessions.
π§ Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.
Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM β local or cloud.
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
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.
π§ Build an offline RAG chatbot to answer questions from PDFs, adapting responses based on user experience levels with a smooth chat interface.
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
Efficient Retrieval Augmentation and Generation Framework