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Agent Memory & RAG

Explore memory and retrieval components that provide context to AI agents. Compare official resources, requirements and limitations.

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Agent Memory & RAG projects

V Vectaurant Vectaurant is a C#/.NET console-based restaurant assistant that uses retrieval-augmented generation to answer questions with menu and restaurant information retrieved from Qdrant.

C Continuum — pouyahasanamreji Continuum is a self-hosted MCP server for coding-agent projects that combines persistent vector memory, an agent registry and orchestration for dispatching work in isolated Git worktrees.

E Engram Memory Engram Memory is a self-hosted, three-tier memory system for AI agents.

B Brainx The First Brain For Openclaw BrainX is a self-hosted persistent-memory tool for OpenClaw agents, combining a CLI and an optional runtime plugin with PostgreSQL, pgvector and OpenAI embeddings.

O Openclaw Memory Libravdb Openclaw Memory Libravdb is a TypeScript OpenClaw plugin that connects an agent to the separate LibraVDB memory daemon over gRPC.

D Dakera Deploy Dakera Deploy is a public infrastructure repository for deploying Dakera’s AI-agent memory server with Docker Compose, Kubernetes manifests or Helm.

K Kektordb Kektordb is a self-hostable AI-agent memory system that combines HNSW vector search with a temporal knowledge graph and cognitive features for storing, retrieving and evolving memories.

M MEM0 Aio MEM0 Aio is a Docker deployment of Mem0 OpenMemory that combines a Qdrant vector store, persistent local storage, a web dashboard and a Python FastAPI/MCP server for self-hosted AI memory.