caura-ai/caura
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
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Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
Demand evidence from langchain-ai/langchain: 18 comments and 16 positive reactions.
Demand evidence from langchain-ai/langchain: 29 comments and 5 positive reactions.
Demand evidence from deepset-ai/haystack: 12 comments and 0 positive reactions.
Demand evidence from deepset-ai/haystack: 7 comments and 0 positive reactions.
Demand evidence from deepset-ai/haystack: 9 comments and 0 positive reactions.
Demand evidence from caura-ai/caura: 2 comments and 0 positive reactions.
Demand evidence from langchain-ai/langchain: 17 comments and 37 positive reactions.
The agent engineering platform.
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
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More