The brain behind your agents

Model your agent’s
world

Give your agents what you and your team already know and let it sharpen every time you use it.

Try for Free GitHub

Works withClaude Code Codex MCP OpenClaw

5M+SDK runs/month#1GitHub Repository 17.1kGitHub Stars

Loved by engineers from

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How it works

The missing layer between your data and agents.

01Ingest

Connect your sources

Warehouses, vector stores, files, APIs. One adapter per source — cognee handles parsing, chunking, and embedding.

SnowflakePostgres.pdf.mdRESTSlack

02Reason

Cognee builds, stores, and serves the world model

Auto-extracted ontologies, a managed world model, fine-grained permissions, and recall tuning that compounds with every run. Not just a database — a company brain itself.

OntologyManaged storeRecall tuningPermissionsSelf-improvement

$ cognee.remember(documents)

03Act

Your agents recall

Drop into LangGraph, Claude Code, OpenClaw, MCP-compatible runtimes, or your own. Memory survives sessions and improves with use.

Claude CodeLangGraphOpenClawMCPCustom

In production

Bayer. From an AI chatbot to an intelligent agentic research system

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What teams build

From a Claude Code plugin to running in production by Friday.

015 minutes · Local

Plug cognee into Claude Code locally

One command, no infra. Your agent gets durable cross-session memory while you keep building.

Best forSolo devs · agent hackers

Run quickstart →$ pip install cognee

021 day · Connect

Make your scattered data ready for agents

A few adapters and `cognee.remember()` — your warehouse, vectors, and docs become one memory your agents can recall from.

Best forData + platform teams

See connectors →docs.cognee.ai/integrations

031 week · Production

Ship a domain-smart agent to your customers

Drop cognee into Claude Code, OpenClaw, or any MCP-compatible runtime — train it on your domain, then ship. Knowunity reached 40,000 students this way.

Best forProduct engineers · founders shipping vertical agents

Read the Knowunity case →

Connect Cognee with

Plays nice with your agent runtime — and with MCP.

First-party integrations for the runtimes your team already uses, plus a Model Context Protocol server so any MCP-compatible agent can read and write cognee memory out of the box.

Claude Code

Codex

Cursor

LangGraph

CrewAI

Continue

Hermes

OpenClaw

MCP server+ build your own

CustomiseCustom ontologies CustomiseCustom data model GovernPermissions control

Pricing

Free locally. Pay only when you scale on Cognee Cloud.

Free

For developers exploring Cognee

Free

Build and run memory workflows with tasks and pipelines
Auto-generate knowledge structures from your data
Integrated evaluations
More than 28 data sources supported
Community support

View on GitHub

Developer

For individual developers working with Cognee

$35/per month

1,000 documents or 1 GB of data included

Everything in Free, plus...

1 user
Fully hosted on AWS, GCP, and Azure
Comprehensive API endpoints
Automated scaling and parallel processing
Automatic updates
10,000 API calls included

Top-up packs+ 1,000 docs (~1 GB) — $35+ 3,000 docs (~3 GB) — $100+ 15,000 docs (~15 GB) — $750

Try for free

Popular

Cloud (Team)

For small teams working with Cognee

$200/per month

2,500 documents or 2 GB of data included

Everything in Developer, plus...

10 users
Multi-tenant architecture
Ability to group memories per user and domain
Dedicated Slack channel
10,000 API calls included

Top-up packs+ 1,000 docs (~1 GB) — $35+ 3,000 docs (~3 GB) — $100+ 15,000 docs (~15 GB) — $750

Try for free

On-Prem (Enterprise)

For companies that need dedicated infrastructure, full data control, and hands-on support

Custom

Everything in Cloud, plus...

On-prem or private cloud deployment
Security, data isolation, and optimal latency
Dedicated architecture review
Premium Support Plan / SLA
Access to AI FDE Engineers
Roadmap prioritization

From the field

“We tried understanding the proximity and relationships of our users before, but SQLs got out of hand and embeddings were too sparse. With cognee, we managed to get a POC done in 2 days on 40,000 students from Bremen.”