Skip to content

MemoryZep

Zep

Temporal knowledge-graph memory for AI agents.

Category
Memory
Pricing
FREEMIUM
Hosting
Cloud
Platforms
API
Models
Multi-model
Verified
Jun 7, 2026

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.

Capabilities 2

What it actually does — grouped by capability family.

  • Agent memory (primary capability)
  • Knowledge graph (secondary capability)

Pros & cons

  • Open-source Graphiti engine (Apache-2.0)
  • Managed Zep Cloud option
  • Pulls in chat + business data
  • Long-term context for agents
  • Graph approach has learning curve
  • Cloud is credit-based pricing
  • Heavier than simple vector memory
  • Newer ecosystem

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 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
  • 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.

    Self-hostable Python SDK
    Newer, smaller ecosystem
    • agent-memory
    • knowledge-graph
    • rag
    • open-source
  • View Supermemory details
    MemoryFREEMIUMOpen core

    Supermemory

    Supermemory

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

    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.

    MIT-licensed, self-host or managed
    Younger project, evolving API
    • agent-memory
    • rag
    • long-term-memory