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.

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.

Context-Engine MCP - Agentic Context Compression Suite

Meteor extracts structured context from across your systems and delivers it to power your organization's context graph and AI agents.

Open Source Context infrastructure for AI agents. Auto-capture and share your agents' context everywhere.

Shared memory for AI agents

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.

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.

Live context engine and MCP server for AI agents. Resolves git, services, and tests into ready context. Local-first, MIT. PyPI: perseus-ctx.

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.

Database Freedom Platform - Mathematical search optimization for whatever database you already have. 27,000x faster than vector databases with SMT-powered search across 8+ database types. One-time 9-2999 vs 00-500/month recurring.

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

Universal Memory & Context Engine (MCP Server) to give Long-Term Memory to AI Agents.

Give one OpenClaw session durable memory, topic-aware continuity, and bounded token growth.

A Local Context Engine

Open-source platform for deterministic, token-aware context selection for AI agents and LLMs