infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
150 repositories
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode
100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management
Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.
Open Source Context infrastructure for AI agents. Auto-capture and share your agents' context everywhere.
Context-Engine MCP - Agentic Context Compression Suite
Shared memory for AI agents
Meteor extracts structured context from across your systems and delivers it to power your organization's context graph and AI agents.
OpenContextEngine is a self-hosted, ACE-compatible code retrieval service. It indexes source files with cAST-aware chunking, stores metadata in PostgreSQL or SQLite, performs dense vector retrieval in Milvus 3.0, and reranks results with an LLM before coverage-aware selection.
Local AI Coding Hub: Run Claude Models Offline in 2026
Compass is a context engine that builds a knowledge graph of your organization's metadata, capturing entities, relationships, and lineage across systems and time, making it discoverable and queryable for both humans and AI agents.
Local-native Context Engine MCP server for codebase indexing, semantic retrieval, planning, and review workflows.
LCM-X — Lossless Context Memory eXtension
Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.
Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.
Local-first code knowledge graph and context harness for coding agents. MCP + DeepSeek Harness (dsh) plugin.
MCP server that provides code context and analysis for AI assistants. Extracts directory structure and code symbols using WebAssembly Tree-sitter parsers with Zero Native Dependencies.
Clinia Context Engine Studio - open-source studio app for the Clinia Context Engine.
Agent-agnostic JEV-enabled token reduction with exact recovery and fail-open guarantees. First-party Hermes Agent Context Engine; RTK terminal rewriting optional.
Persistent local memory engine for OpenClaw — replaces default memory-system with a full context lifecycle: hybrid vector recall, automatic compaction, and domain-adaptive gating over LibraVDB
🧠 Statically compiled, ultra-light Go drop-in replacement for self-hosted Supermemory servers. Uses 1.5MB RAM, runs 100% offline with local Ollama, and executes semantic vector search in <30ms. Zero Node.js or WASM overhead.
Shared memory layer for AI coding tools. One local SQLite DB, every tool reads the same verified facts. Local-first, zero cloud.
Universal Memory & Context Engine (MCP Server) to give Long-Term Memory to AI Agents.
Open-source platform for deterministic, token-aware context selection for AI agents and LLMs
Open-source context intelligence engine for AI coding agents — repository graph, precise code navigation, MCP, impact analysis, memory, and guarded edits.
Context before response. Local, reviewable AI behavior calibration.
Give one OpenClaw session durable memory, topic-aware continuity, and bounded token growth.
A Local Context Engine
Local code-intelligence engine for AI agents — indexes a repository into a PostgreSQL code graph and serves token-budgeted context (symbols, effects, contracts, blast radius, similar code) over MCP and HTTP.