Comparison

Busabase vs Cognee for AI Agents

Cognee is an open-source memory engine: it takes documents, code, and conversations, has a model pull out entities and relationships, and builds a knowledge graph your agents query. Busabase is where agents and people keep the team's records, Docs, Skills, and apps — and every change, from an agent or a person, is a Change Request you can read, review, and roll back.

Both talk about a “company brain”, but they mean different things. Cognee's brain is inferred: a graph a model assembles from your sources so agents can recall it. Busabase's is maintained: the records and rules your team writes down, owns, and corrects in one place. Plenty of teams will run both.

Last verified 13 November 2026 against Cognee's homepage, pricing page, documentation and changelog, and GitHub repositories, and Busabase's current product.

The short verdict

The core difference: every change is a Change Request

In Busabase, an edit to a record, a Doc, a Skill file, or a Base's schema is never a silent overwrite. It is a Change Request — a branch made of immutable commits, much like a pull request in code. Merging moves the record forward and keeps everything that came before.

Cognee is built for a different loop. Its documentation lists four operations: remember turns text, files, or URLs into a graph; recall queries it; improve “bridges session memory into the graph and applies feedback-based weighting”; forget deletes an item, a dataset, or everything a user owns. Since version 1.6.6, “improve() reviews conflicting facts by default,” and an API “resolves a fact conflict by choosing one of its facts.” That is the engine keeping its own graph tidy. Its delete documentation describes no undo or version history for memory, and the docs describe no step where a person sees a proposed change before it lands.

That suits recall, where the graph should keep reshaping itself as sources change. It does not suit the price you quoted, the term in a contract, or the rule a support agent must follow — there you want to see the change, know who made it, and be able to take it back.

• Every write explains itself. A message plus a field-level before-and-after diff, so a reviewer reads one change instead of re-checking the whole record.
• Every change has an author. The person or agent, and the key or tool it came through, are recorded on the commit.
• Nothing is lost. Records, Docs, and Skills keep their full history, and any change can be rolled back.
• Review is your call. Writes with write access merge immediately. A proposal-only key makes an agent's changes wait in the Inbox for a person to approve or send back.

That is how a team lets agents write to the data it actually runs on: not by locking them out, but by making each change readable, attributable, and reversible.

What else Busabase gives your agents and your team

A graph memory makes agents better at recall. A Busabase workspace gives agents and people a shared place to do the work itself.

Comparison by the job you are trying to do

Each row is a job teams actually bring to these products. Where Cognee is the better tool, the row says so.

Coming next

Three features are being built now. They are not available yet; we list them so you can plan, and this page will be updated when they ship.

Two kinds of company brain

Cognee’s homepage says “Your company builds a shared company brain for agents.” It is a good phrase, and our essay Agent memory vs knowledge base vs system of record explains why the same words can describe two very different stores. The test is simple: when something in it is wrong, who notices, and who is accountable for fixing it?

An inferred brain is built by a model. Point it at ten thousand research papers, a GitHub organisation, or a year of Slack, and it links people, systems, and concepts that no one would ever map by hand. That is where a knowledge graph earns its keep. The trade-off is that nobody wrote any single edge, so nobody owns it; when a link is wrong, the fix is to resolve a conflict, re-weight, or delete and rebuild.

A maintained brain is written down on purpose. The price list, the customer's contract terms, the escalation policy, the Skill that tells every agent how to draft a quote — each has an owner, a history, and one place to correct it. When an agent proposes a change, a person can see the diff and the reason before it becomes what every other agent reads. That is the job Busabase is built for.

Most companies need both: a graph to search what the sources say, and records for what the team decided.

Using them together

A common split for a team whose agents research and then act:

1. Cognee remembers the large, messy sources — papers, tickets, repositories, chat history — and the agent recalls connected context from that graph while it works.
2. The agent reads the team's policies and Skills from Busabase, so every agent follows the version the team agreed on.
3. When the work produces something the business will act on — a decision, a customer commitment, a price — the agent writes it to a Base in Busabase as a Change Request, with its reason.
4. A Busabase space also exports to plain Markdown and JSON, so the records your team maintains can be one of the sources Cognee remembers.

A rule of thumb: if it only helps an agent find context, let the graph hold it. If someone will act on it, make it a record.

Pricing at a glance

Prices as published on 13 November 2026. See Busabase pricing and Cognee pricing for current details.

Where Cognee is the better choice

• You want a knowledge graph built for you. Cognee turns documents, code, and conversations into entities, relationships, and searchable chunks, and retrieves graph, vector, or code context at query time — with ontologies when you need your own domain model.
• You want memory inside your coding agent today. Its Claude Code and Codex plugins capture prompts, tool traces, and responses into session memory and sync them into the graph when the session ends.
• You value a large open-source engine. Apache-2.0, more than 33,000 GitHub stars, pluggable graph and vector stores, and imports from Mem0, Letta, Zep, and Graphiti. Cognee announced a $7.5M seed round in February 2026 and says it is “running live in more than 70 companies” (Cognee blog).

Busabase's limits, plainly: it does not build a knowledge graph from your documents, has no vector index or semantic recall, and no realtime subscriptions. Sign-in for the end users of apps you publish is in development (App users) but not available today. If you need graph recall over a large corpus, run Cognee alongside it.

Frequently asked questions

Next step

Connect the agent you already use and ask it to move one thing your team relies on into a Base — your price list, open decisions, or the policy it should follow. Change one value, then open the Change Request it leaves behind.

Related reading: Agent memory vs knowledge base vs system of record · Busabase vs Mem0 · Busabase vs Zep · Busabase vs Supabase · All comparisons · How Change Requests work

Sources: Cognee homepage, Cognee pricing, Cognee docs: introduction, Cognee docs: forget, Cognee changelog, topoteretes/cognee on GitHub, Cognee Claude Code plugin, Cognee seed announcement, Busabase pricing