Cognee
Cognee is an open-source memory platform designed for AI agents, enabling them to capture context, transform it into graph memory, and recall it consistently across mu…
Our verdict
Who it's for
Build AI agents with persistent, structured graph memory
Who should look elsewhere
Requires integration and configuration with existing agent systems.
Pros
- +Provides durable, shared memory for AI agents, improving their consistency and intelligence.
- +Supports a wide range of data sources and agent frameworks, offering flexibility.
- +Offers both open-source local development and scalable cloud/on-premise deployment options.
- +Automatically generates and updates ontologies, keeping knowledge structures fresh.
- +Ensures data security and compliance with options for private cloud or on-premise deployment.
Cons
- −Requires integration and configuration with existing agent systems.
- −The complexity of graph memory and ontology management may have a learning curve for new users.
- −Scalability and advanced features are primarily available in paid tiers.
Key features
- ✓Context Capture from diverse sources (files, databases, APIs, chat logs)
- ✓Automated Parsing, Chunking, and Embedding
- ✓Provenance Tracking for all ingested data
- ✓Graph Memory Modeling (entities, relationships, ontologies)
- ✓Recall Tuning and Permissions Control
- ✓Compatibility with leading agent frameworks (e.g., LangGraph, OpenClaw)
- ✓Local Development Environment
- ✓Automated Ontology Generation and Updates
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Free | — | month | Build and run memory workflows with tasks and pipelines; Auto-generate knowledge structures from your data; Integrated evaluations |
| Developer | $35 | month | 1,000 documents or 1 GB of data included; Everything in Free; 1 user |
| Cloud (Team) | $200 | month · per seat | 2,500 documents or 2 GB of data included; Everything in Developer; 10 users |
| On-Prem (Enterprise) | — | month | Everything in Cloud; On-prem or private cloud deployment; Security, data isolation, and optimal latency |