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MemoryCognee

Cognee

Open-source memory for AI agents.

Categories
MemoryVector DB
Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
API
Models
BYO key / model
Verified
Jun 8, 2026

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.

Capabilities 5

What it actually does — grouped by capability family.

  • Agent memory (primary capability)
  • Knowledge graph (secondary capability)
  • RAG pipeline (secondary capability)
  • Embeddings (secondary capability)
  • Vector search (secondary capability)

Pros & cons

  • Self-hostable Python SDK
  • Recall follows concept relationships
  • Bring your own LLM/embedding provider
  • Newer, smaller ecosystem
  • Cognify pipeline adds LLM cost
  • Self-host setup overhead

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 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.

    Open-source Graphiti engine (Apache-2.0)
    Graph approach has learning curve
    • memory
    • agents
    • knowledge-graph
    • temporal
    • +1
  • View Graphlit details
    MemoryFREEMIUM

    Graphlit

    Graphlit

    One API for AI agent memory: ingest, extract, store, retrieve.

    A cloud-native platform that gives AI agents semantic memory and operational context through a single API. It ingests documents, audio, video, and web pages, extracts entities and relationships, and handles storage and retrieval so you don't assemble the RAG pipeline yourself. Integrates with frontier models from OpenAI, Anthropic, and Google for extraction.

    One API for ingest, extract, store, retrieve
    More infra/overhead than plain RAG
    • memory
    • context
    • rag
    • knowledge-graph
  • 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