SQLite-backed MCP Memory Server with WAL concurrent safety, FTS5 search, session tracking, task management, and cross-machine bridge sync
Python SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.
Model Context Protocol (MCP) server that provides persistent memory capabilities for AI assistants. It allows AI models to save, retrieve, and manage scoped context across different sessions and projects safely on your local machine.
Python SDK for hierarchical memory management in Graphiti, featuring chainable scope isolation and multi-level context retrieval.
CrewAI integration for Dakera AI memory — dakera.ai
LlamaIndex integration for Dakera AI memory — dakera.ai
AutoGen integration for Dakera AI memory — dakera.ai
LangChain integration for Dakera AI memory — dakera.ai
Agentic AI + RAG (Retrieval-Augmented Generation) chatbot built with LangGraph, LangChain, Google Gemini, and FAISS.
Eidetic — a single-process, single-database memory server for AI agents. SQLite-native: vectors + FTS5 + knowledge graph + raw logs. Five-layer memory (L0 raw → L1–L4), three-tier recall, auto-healing. One-command deploy, local-first, works with any MCP-compatible agent (OpenClaw, Claude Code, etc.).
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