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MemoryNevaMind AI

memU

Open-source memory framework for long-running AI agents.

Category
Memory
Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
APIWeb
Models
Model-agnostic
Verified
Jun 19, 2026

memU is a memory framework for proactive, always-on AI agents from NevaMind AI. It ingests multimodal inputs (conversations, documents, images), extracts them into structured memory organized as a hierarchical file system, and retrieves the right context via vector-indexed semantic recall. The approach is designed to keep agents online continuously at a fraction of the usual token cost. It is open source under Apache 2.0, with self-hosting plus a hosted cloud API.

Pros & cons

  • Apache-2.0 open source
  • File-based, ~10x token reduction
  • Semantic recall via vector indexing
  • Self-host or hosted cloud API
  • Multimodal memory ingestion
  • Younger project, evolving API
  • Smaller ecosystem than vector DBs
  • Hosted pricing details limited

Tags

View all Memory
  • View mem0 details
    MemoryFREEMIUMOpen core

    mem0

    Mem0

    Long-term memory layer for AI agents. Self-hostable.

    Persistent memory store + retrieval pipeline for agent applications. Handles per-user/per-session/per-agent scope cleanly; pairs with OpenAI, Anthropic, and local models.

    Quick to adopt, broad framework integrations
    Weaker on temporal/state-change queries
    • memory
    • agents
    • rag
    • self-hosted
  • View Cognee details
    MemoryFREEMIUMOpen core

    Cognee

    Cognee

    Open-source memory for AI agents.

    An open-source semantic memory layer for AI agents. Cognee ingests documents, relational data, and system context, then runs an Extract-Cognify-Load pipeline that uses an LLM to build a knowledge graph with embeddings and relationships. Agents query it for durable, cross-session context that captures how concepts connect. Self-host the Python SDK for free, or use the managed cloud tiers.

    Open-source Python SDK
    Newer, smaller ecosystem
    • agent-memory
    • knowledge-graph
    • rag
    • open-source
  • View Zep details
    MemoryFREEMIUM

    Zep

    Zep

    Temporal knowledge-graph memory for AI agents.

    Memory layer that gives agents long-term context by building a temporal knowledge graph from chat history and business data, tracking how facts evolve over time. It's powered by Graphiti, Zep's Apache-2.0 open-source temporal graph engine, with Zep Cloud offering a managed, credit-based service on top. Used to keep agent context relevant as conversations and data grow.

    Temporal knowledge-graph memory
    Graph approach has learning curve
    • memory
    • agents
    • knowledge-graph
    • temporal
    • +1
  • View Letta details
    MemoryFREEMIUMOpen core

    Letta

    Letta

    Stateful agents with structured memory. Successor to MemGPT.

    Open-source framework for building stateful agents — memory blocks, context-window management, tool-use primitives baked in. Useful as a reference architecture for long-running agents.

    Self-editing agent memory
    Developer-focused, not no-code
    • memory
    • stateful
    • agents
    • open-source