Harbor vs Cognee

Cognee is a memory engine you can host yourself. Harbor is a brain your team stays in charge of.

Cognee and Harbor both connect Slack and GitHub to coding agents. Cognee is an open-source memory engine you can run yourself and shape with your own ontology. Harbor is a hosted brain with a gate you set, served and cited counts on every rule, and guardrails.

Harbor is in early access, and we let teams in by hand. Every line about Cognee is from its own pages, read on 1 October 2026.

Why teams pick Harbor

Decide what gets in. See what gets used.

Three things Harbor does for the team behind the agents, each beside what Cognee's own pages say about the same job.

You set the gate

Manual, Hybrid or Auto. Whatever you pick, a contradiction waits for a person.

In CogneeExtraction is automatic, and knowledge that is used and corrected often is promoted. Custom ontologies shape what is stored. No approval queue is documented.

You see what got used

Every rule shows how often it was served and how often an answer cited it.

In CogneeAnswers carry citations, with provenance on Enterprise, and Memory Coverage scores how well memory answered agents' questions.

You block a risky command

Block rules refuse it before it runs, in Claude Code, Cursor and Codex.

In CogneeNot part of the product.

Side by side

Harbor and Cognee, row by row.

HarborCognee
What it isA company brain for a team's coding agents. It learns the rules your team decides and serves the ones that apply to each session.An open-source memory engine that builds a knowledge graph from your data, plus a hosted Company Brain in Cognee Cloud.
Where the knowledge comes fromSlack, GitHub, GitLab, Notion, Confluence, Jira, Linear, Google Drive and Granola, plus what agent sessions record.Slack, GitHub and Google Drive in Cognee Cloud, with more listed as coming, plus what agent sessions record through its Claude Code and Codex plugins.
Who decides what gets inYou set the gate. Manual holds everything for a person, Hybrid adds routine rules and holds the important ones, Auto adds everything else. A contradiction always waits for a person.Extraction is automatic, and knowledge that is used and corrected often is promoted. Custom ontologies shape what is stored. No approval queue is documented.
How it reaches the agentHooks add the rules that apply to the session before the agent writes a line. The same rules are on an MCP server, the CLI and /harbor in Slack.Its Claude Code and Codex plugins add context to every prompt through hooks. Other agents use its MCP server, and there is an SDK.
When a decision changesWhen a push deletes the file a rule is about, the rule is retired, or flagged if other repos still use it. A newer decision that contradicts a rule waits for a person.Memory updates as your data does. Bi-temporal memory and conflict resolution are on Enterprise.
Seeing what was usedEvery rule shows how often it was served and how often an answer cited it.Answers carry citations, with provenance on Enterprise, and Memory Coverage scores how well memory answered agents' questions.
Stopping a risky commandBlock rules refuse a command before it runs, in Claude Code, Cursor and Codex, and hand the agent something to run instead.Not part of the product.
AgentsClaude Code, Cursor and Codex.Claude Code and Codex through plugins, and Cursor, Claude Desktop, VS Code, Gemini CLI and other MCP clients.
Open source and hostingThe CLI, harborloop, is MIT licensed on npm. The service is hosted.Open source under Apache 2.0, runs on one Postgres, and deploys in your cloud or on-prem.
PriceIn early access: join the waitlist and we let teams in by hand. Free costs nothing for your whole team on one source, Pro is $24 per person a month billed yearly or $30 monthly, and Premium is $36, or $45 monthly.Free up to 1M tokens, then $1 per 1M tokens and $5 for each extra workspace. Enterprise deploys in your cloud.
Best forEngineering teams who want every coding session to start with what the team decided.Teams that want open-source memory they can host and shape themselves.

Cognee's side comes from its own pages, read on 1 October 2026: cognee.ai · Cognee Company Brain · Cognee pricing · Cognee docs. Out of date? Tell us.

Which one

Pick the one built for your job.

Pick Harbor if

  • You want to choose what waits for a person before it reaches every agent.
  • You want to see, rule by rule, which ones agents were served and which ones they used.
  • You want block rules that stop a destructive command before it runs.
  • You want a hosted product priced per person, not per token.
Get early access

Pick Cognee if

  • You want open source you can run on your own hardware.
  • You want to define the ontology your agents follow.
  • You are building memory into your own product, one brain per customer.
Can I run Harbor and Cognee together?

Both put company knowledge in front of coding agents, so most teams would pick one. The split is running it yourself against having it run for you, with a gate and a count.

Can I start with Harbor today?

Harbor is in early access, and we let teams in by hand: leave an address and the people who build it will write to you. Cognee can be signed up for today.

Is Harbor open source?

The CLI, harborloop, is MIT licensed on npm. The service is hosted. Cognee: Open source under Apache 2.0, runs on one Postgres, and deploys in your cloud or on-prem.

Where do the claims about Cognee come from?

From Cognee's own public pages, read on 1 October 2026, which are listed under the table. Products move, so if a line is out of date, tell us and we will fix it.

Decide once.
Every agent knows.

Nothing to migrate and nothing to write. Two weeks in, you see which rules your agents were given and which ones they cited. Leave an address and the people who build it will be in touch.

or talk to us