MemMachine

MemMachine is an open-source memory layer for AI agents that provides persistent storage for conversational context and long-term user profile data across sessions.

MemMachine is an open-source memory infrastructure designed for advanced AI agents and large language models. It enables applications to store, learn, and recall data from past interactions through a persistent memory layer. The system manages memory in two distinct formats: episodic memory for conversational context stored in a graph database, and profile memory for long-term user facts stored in an SQL database. Developers integrate the memory layer into their agents using a RESTful API, a Python SDK, or an MCP server. This enables AI assistants to maintain context across multiple sessions, models, and agents, resulting in more personalized and intelligent interactions.

MemMachine at a glance

Best for: Software engineer
Runs on: API
Pricing: Free
Released: August 2025
Category: AI agent tool
Website: memmachine.ai

Key features

Persistent memory storage across multiple sessions
Episodic memory for conversational context
Profile memory for long-term user facts
Graph database storage for episodic data
SQL database storage for profile data
RESTful API access
Python SDK integration
MCP server compatibility

Use it for

Healthcare navigators tracking patient history
CRM assistants managing client relationships
Personal finance advisors tracking portfolios
Content writing assistants following style guides

Alternatives to MemMachine

memU — It gives every connected agent a shared and inspectable memory layer.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
MemPalace — Achieves high recall with local-first storage and zero API calls.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
Memmy — Shares one persistent memory foundation across your different AI tools.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
claude-mem — It shares persistent, searchable agent memory across sessions and devices.
Cognee — Persistent memory for AI agents using graph, vector, and relational retrieval.
AgentMemory — It runs locally with zero external databases and achieves high retrieval recall.
SimpleMem — Provides semantic lossless compression to reduce token consumption and maintain long-term context.

All MemMachine alternatives