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 with

Claude CodeCodexMCP

OpenClawSee all integrations →

#1TrendshiftGitHub Repository of the Day Star us17k starsSDK runs5.3M past 30 days

Used by engineers from

What cognee does

Agents grep. Cognee remembers, connects, and improves.

Make every document searchable, citable, and reusable

Bayer compresses 10,000 scientific papers into research memory their agents reason over. UWyo turns scattered K-5 research into cited, page-linked answers teachers can defend.

Read the case studies

Memory that learns from how it's used

Knowunity's recommendations get sharper as more students study together — the graph picks up patterns from every interaction, no manual retraining.

Read the Knowunity story

Plug into the stack you already chose

Drop into LangGraph, Claude Code, or any MCP-compatible runtime. No data migration, no glue code, no rip-and-replace — your existing warehouse and vector store stay where they are.

Browse integrations

What teams build

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

Browse all use cases

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

Start hereRun 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

Start hereSee 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

Start hereRead the Knowunity case →

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

Drop in anywhere

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 Read firstDocumentation

In production

Used by teams that can’t afford to forget.

Case studies

B2C · Edu

Mapped Germany's largest connected student community out of 40,000 isolated learners.

100%

of 40,000 students matched

B2B · EduGov

Turned scattered K-5 special-education research into evidence-based answers — with citations teachers can verify in seconds.

Seconds

from question to cited answer

B2B · Pharma R&D

Turned 10,000 scientific papers into an agentic research memory for Bayer R&D — hypothesis generation in hours, not months.

~98%

research time saved per team

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.”