Cognee

Cognee provides a memory layer for AI agents and teams working with information spread across documents, tickets and previous sessions. Its publisher describes connecting company knowledge and retaining relevant context so an agent can retrieve it during later tasks.

Connect knowledge to the agent

The Cognee homepage names Slack, GitHub and Linear as connections for company knowledge. It also lists agent integrations including Claude Code, Codex and MCP clients. These are connections to an existing assistant or development workflow; Cognee is not presented as the maker of those third-party models or clients.

A useful pilot should use a small collection whose permissions and expected answers you understand. Ask questions that require connecting a ticket to the document that explains it, then follow the references in the response. The important check is whether the agent finds the right material and preserves its meaning, rather than whether it gives a confident answer.

Examine retrieval and retained experience

The homepage demonstrates remember, recall and improve operations, with references to source files and citation handling. It also describes ontologies for expressing an organization's domain rules. Treat the displayed terminal session as an example of the intended workflow, not an independently measured latency or accuracy result.

Cognee provides a pip install cognee command and describes a local quickstart for durable agent memory. Before connecting real company data, determine where each component runs, which model or storage services it uses and who can access the retained information. A local installation command does not establish that every configured operation remains on your device.

Separate free allowances from deployment costs

The pricing page lists a free tier with one workspace and one million included tokens, without a card requirement. It also lists unlimited users and API calls. Those API-call allowances should not be read as unlimited token processing or free usage of every connected service.

The publisher describes charging for tokens processed by memory and adding fixed costs for additional workspaces. Confirm the account's current metering and the components required for your deployment before estimating a production bill. Test how the system updates or removes an obsolete fact and how permissions affect retrieval; persistent context is useful only if the agent can distinguish current, authorized information from an old or restricted record.