7 Best Mem0 Alternatives in 2026 (Open Source)

Mem0 — Universal memory layer for AI Agents. Unlike Zep (session-focused memory) or ChatGPT's built-in memory (closed, limited), Mem0 provides a standalone, open-source memory layer with proven +26% accuracy gains over OpenAI Memory, multi-level (user/session/agent) state management, and 90% token reduction via intelligent memory retrieval.

Short answer

  • Closest match to Mem0: Cognee.
  • Most actively developed: Cognee (2,427 commits in the last 90 days).
  • Fastest growing: Cognee (+2,637 GitHub stars in the last 30 days).
  • No commit in 6+ months: Memary, AgentLabs and Microagents.

These 7 open-source tools do the same job. They are ordered by how closely they match Mem0, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
Mem0(original)66.5k+2,4172026-10-01
Cognee31.3k+2,6372026-10-01
Memary2.7k+122024-10-18
Letta25.0k+5132026-09-10
AgentLabs558+32025-02-06
Lagent2.3k+72026-04-20
AIOS6.4k+1652026-07-20
Microagents826+42024-03-15
  1. 1. Cognee

    Knowledge Engine for AI Agent Memory in 6 lines of code

    What sets it apart: Unlike Mem0 (conversation memory) or Chroma (pure vector search), Cognee builds an evolving knowledge graph from documents, combining vector + graph search with cognitive science approaches, ontology grounding, and cross-agent knowledge sharing — making it AI memory infrastructure rather than just a vector database.

    Best for: AI agent developers who need persistent, learning memory that combines vector search with knowledge graph relationships; Enterprise use cases requiring tenant isolation, audit trails, and cross-agent knowledge sharing

  2. 2. Memary

    The Open Source Memory Layer For Autonomous Agents

    What sets it apart: vs LangChain Memory / Mem0: graph-database-backed memory system emulating human memory (breadth + depth tracking) — agents automatically build and query knowledge graphs rather than flat conversation history

    Best for: Building persistent, context-aware AI agents with evolving memory; User preference tracking and personalization across sessions; Multi-user agent management with separate knowledge contexts

  3. 3. Letta

    Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.

    What sets it apart: Purpose-built memory architecture that enables agents to self-improve over time — vs generic agent frameworks that only have short-term chat history

    Best for: Building long-running AI agents that learn from interactions; Applications requiring persistent context across sessions

  4. 4. AgentLabs

    Universal AI Agent Frontend. Build your backend we handle the rest.

    What sets it apart: Open-source universal frontend for AI agents with built-in auth, real-time streaming SDK, and chat UI — focus on backend while it handles the rest (discontinued)

    Best for: rapid-agent-ui-deployment; adding-auth-to-ai-agents; chat-frontend-for-agents

  5. 5. Lagent

    A lightweight framework for building LLM-based agents

    What sets it apart: vs LangChain/CrewAI: PyTorch-inspired design with intuitive layer composition, dual sync/async interfaces, and built-in session-isolated memory for concurrent agent workloads

    Best for: Multi-agent workflows with iterative self-refinement; Research with InternLM/Qwen models and custom agents

  6. 6. AIOS

    AIOS: AI Agent Operating System

    What sets it apart: vs agent frameworks (LangChain/CrewAI): operates at OS-level abstraction with agent scheduling, memory management, and resource allocation — agents are 'apps' on an AI OS

    Best for: Research on OS-level agent infrastructure and scheduling; Building multi-agent systems with shared resource management

  7. 7. Microagents

    Agents Capable of Self-Editing Their Prompts / Python Code

    What sets it apart: vs pre-built tool agents: dynamically generates and stores agents for future reuse — the system independently develops new problem-solving methods rather than relying on manually defined tools

    Best for: Repetitive task automation that improves over time; Self-evolving agent systems that learn across sessions; Research into emergent agent specialization

FAQ

What are the best alternatives to Mem0?
The closest open-source alternatives to Mem0 are Cognee, Memary and Letta, followed by AgentLabs, Lagent and AIOS. They are ranked by how closely they match what Mem0 does.
Which Mem0 alternative is the most popular?
Cognee has the most GitHub stars among Mem0 alternatives, with 31,301 stars.
Which Mem0 alternative is the most actively maintained?
By recent activity, Cognee (2,427 commits in the last 90 days) is the most actively developed alternative.