MemMachine Key Features
Persistent Episodic & Profile Memory
Stores short-term conversational context (episodic) and long-term user facts (profile) so agents can recall past interactions, preferences, and evolving user profiles across sessions.
Multi-Platform Integration (MCP Server)
Connects with OpenAI, AWS Bedrock, Ollama, and other LLMs via the MCP server, letting agents use MemMachine memory regardless of the underlying model provider.
Flexible Deployment & Data Control
Run locally, self-host in the cloud, or install via pip. Full control over data storage and persistence, with pluggable database backends (graph DB for episodic, SQL for profile memory).
SDKs, REST API & Playground
Provides a Python SDK, RESTful API and an interactive playground plus documentation and community support to simplify integration and development.
Open-Source with Extensible Architecture
Open-source codebase and docs enable customization, community contributions, and extension for domain-specific memory strategies and retrieval policies.