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Memory · Supermemory

Supermemory

Memory API that gives any AI agent long-term recall.

FREEMIUMOpen coreHybridAPIWeb

Supermemory is a memory and context engine for AI apps. It ingests documents, chat histories, and connector data (Drive, Gmail, Notion), turns them into a searchable store, and serves relevant context back to agents over a single API. It works with any model and ships an MCP server alongside official SDKs.

Model support

Model-agnostic

Memory infrastructure; works with any LLM.

Where it runs

  • API
  • Web

Tags

  • #agent-memory
  • #rag
  • #long-term-memory
Open SupermemoryGitHubPricing
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    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.

    AI insight: Built on its open-source Graphiti engine, it stores a temporal knowledge graph that versions how facts change over time, not flat snapshots.

    • 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.

    AI insight: The productized successor to the MemGPT paper — agents edit their own memory blocks to manage a finite context window.

    • memory
    • stateful
    • agents
    • open-source
  • 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.

    AI insight: Stores distilled facts rather than whole transcripts, so an agent's memory stays small and relevant as conversations grow.

    • memory
    • agents
    • rag
    • self-hosted