Cognee is an AI memory platform that stores information in a self-hosted knowledge graph so agents can retain context across sessions. It ingests data, connects related information, and helps agents retrieve it for reasoning and actions. The catalogue includes skills and instructions that extend agent workflows around Cognee.
Borrowing it
Nothing to install: this file belongs to topoteretes/cognee. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/topoteretes/cognee/main/.agents/skills/company-brain-follow-up-agent/SKILL.mdgit clone --depth 1 https://github.com/topoteretes/cogneeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/topoteretes/cognee/company-brain-follow-up-agent)<a href="https://agentmods.dev/skills/topoteretes/cognee/company-brain-follow-up-agent"><img src="https://agentmods.dev/badge/skills/topoteretes/cognee/company-brain-follow-up-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/topoteretes/cognee/company-brain-follow-up-agent"><img src="https://agentmods.dev/badge/skills/topoteretes/cognee/company-brain-follow-up-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.00778 |
| Opus 5.5 | $0.00035 | $0.00311 |
| Sonnet 5.5 | $0.00018 | $0.00156 |
| Haiku 4.5 | $0.00009 | $0.00078 |
Grade A, and why
company-brain-follow-up-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company brain: agent for follow-up
Runs the follow-up agent cookbook in examples/cookbooks/company_brain/follow_up_agent/.
It remembers your Granola calls, Linear issues and Gmail inbox in the cognee dataset
follow_up_agent, then works out the next steps of your latest call and posts them to
Slack, or prints them. Setup, the scripts and what each one does are in the cookbook's
README.md.
Run every command from the repo root.
Steps
With none of Granola, Linear and Gmail set up, the commands below run on sample calls,
issues and email (the [setup] line says so), follow up a fictional call and never post to
Slack; only LLM_API_KEY is needed. Tell the user the steps come from sample data. Add
--sample to use the sample even when their accounts are set up.
- Run
uv run python examples/cookbooks/company_brain/follow_up_agent/follow_up_agent.py --check.- Exit 0: go to step 2.
[setup] SKIPPED:lines name optional sources that won't be used; mention them to the user, but they don't block the run. - Exit 2: each
[setup] MISSING:line names one fix. Don't create credentials yourself. Tell the user exactly which line to fix, using the README's "What it needs" table, and stop.
- Exit 0: go to step 2.
- Run
uv run python examples/cookbooks/company_brain/follow_up_agent/follow_up_agent.py. Add--days Nif the user named a time range, and--no-linear/--no-emailif they don't want a source used. - The steps are everything after the
[follow_up] Posted to Slack:or[follow_up] Stepsline. Give them to the user, say which call they come from (the[follow_up] Call:line), which sources went in (the[ingest_*]lines), and whether they were posted. - If a script fails,
follow_up_agent.pyexits 1 with a line naming what went wrong. Run that script fromexamples/cookbooks/company_brain/follow_up_agent/scripts/on its own to look closer.
Rules
- Gmail access is read-only.
- With Slack set up, a run posts to the user's real channel, and every run reads the user's real calls, issues and mailbox and uses LLM credits, so run it only when the user asked for it.
- Don't print the contents of
credentials.json,token.jsonor.env. - A sample run forgets the cookbook's dataset
follow_up_agentbefore it ingests (the[clear]line). On the user's own data, pass--clearonly when they asked to start over: it forgets everything the dataset holds. - Don't pass
--uiunless the user asked to browse the graph: it keeps running until Ctrl+C.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 57 lines · 88 tokens per session scan A 6d1f41cd0f4f
company-brain-follow-up-agent is a skill published in the GitHub repository topoteretes/cognee (33,094 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 778 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-08.
company-brain-follow-up-agent compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| company-brain-follow-up-agenttopoteretes/cognee | Skill | 33k | today | Apache-2.0 | A | 88 | Claude Code, Codex |
| openmemoryCaviraOSS/OpenMemory | Skill | 4.6k | 19d ago | Apache-2.0 | A | 96 | Claude Code, Codex |
| memseek-remembermemseekai/memseek | Skill | 11 | yesterday | Apache-2.0 | A | 24 | Claude Code |
| memseek-explainmemseekai/memseek | Skill | 11 | yesterday | Apache-2.0 | A | 25 | Claude Code |
| memseek-searchmemseekai/memseek | Skill | 11 | yesterday | Apache-2.0 | A | 22 | Claude Code |
| surface-learningsterrizoaguimor/celiums-memory | Skill | 23 | 2mo ago | Apache-2.0 | A | 60 | Claude Code |
| context-recoveryterrizoaguimor/celiums-memory | Skill | 23 | 2mo ago | Apache-2.0 | A | 37 | Claude Code |