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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
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Explore 4 GitHub repositories focused on context-management. Discover top-starred projects and those trending this week.
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
Kanwas — Shared context board for teams and agents
Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.
Persistent memory, semantic search, and shared project context for AI agents with traceable sources and scoped access. Carry decisions, lessons, and intent across sessions and tools.
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
Kanwas — Shared context board for teams and agents
Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.
Persistent memory, semantic search, and shared project context for AI agents with traceable sources and scoped access. Carry decisions, lessons, and intent across sessions and tools.