MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
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Updated
May 29, 2026 - JavaScript
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
Self-hosted Dakera AI memory server — Docker Compose, Kubernetes, Helm, HA cluster setup, and monitoring.
SQLite-backed MCP Memory Server with WAL concurrent safety, FTS5 search, session tracking, task management, and cross-machine bridge sync
dk — CLI for Dakera self-hosted AI agent memory. Manage memories, namespaces, vectors, knowledge graphs, and sessions.
Rust SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. HTTP/gRPC, vectors, hybrid search, knowledge graphs, sessions.
Helm chart for self-hosted Dakera AI memory — deploy on Kubernetes in minutes. Publishes to Artifact Hub.
SQLite-based MCP memory server with WAL mode for concurrent access. Drop-in replacement for @modelcontextprotocol/server-memory
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 Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.
LlamaIndex integration for Dakera AI memory — dakera.ai
CrewAI integration for Dakera AI memory — dakera.ai
Python SDK for hierarchical memory management in Graphiti, featuring chainable scope isolation and multi-level context retrieval.
LangChain.js integration for Dakera AI memory — dakera.ai
AutoGen integration for Dakera AI memory — dakera.ai
Go SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.
LangChain integration for Dakera AI memory — dakera.ai
TypeScript/JavaScript SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.
Tiny portable memory format for agents: JSONL plus markdown plus MCP examples
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