TabTin vs Cognition AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | TabTin | Cognition AI |
|---|---|---|
| What it is | Open-source team harness: humans + multiple sub-agents on one shared task surface | Devin, a managed autonomous software engineer for enterprise codebases |
| Pricing model | Freemium, download and self-host | Contact sales — no published self-serve pricing |
| Surface area | Code, documents, spreadsheets, and live browser research in one workspace | Code only, inside your existing repo and CI workflow |
| Model strategy | Main Agent decomposes into research/build/verification sub-agents on shared context | SWE-2 flagship, SWE-1.7 at lower cost, Fusion routing for 60% lower cost |
| Controls & compliance | Checkpoint before every write with rollback, human approval gate, per-member repo permissions | FedRAMP High In-Process, FrontierCode merge-worthiness scoring, $10M outcome guarantee |
| Integrations | GitHub + 48 official Skills packages | GitHub, GitLab, Bitbucket, Slack, Teams, Jira, Linear, Datadog, Windsurf |

Open-source team harness where humans and multiple AI sub-agents share one task surface for code, docs, spreadsheets and browser research.
Visit WebsiteCognition's Devin is an autonomous software engineer that plans, writes, tests, and ships merge-ready production code.
Visit WebsiteFeature-by-feature
The split is scope and control. TabTin's Main Agent fans a task into research, build, and verification sub-agents that share one context, so the same goal, team rules, and delivery standards persist across handoffs. It covers four surfaces: code (reads repos, edits, runs tests with visible diffs), documents (drafting, rewriting, annotation with saved versions), spreadsheets (turns scattered info into filterable, countable records), and browser (opens live pages, extracts structured data). Every write is preceded by a Checkpoint with execution-state rollback, and publish/write actions need human approval; repo permissions are enforced per team member and connector. There are 48 official Skills packages, and the connector set is GitHub and browser — the integration list is intentionally thin.
Cognition is narrower but deeper on code. Devin autonomously plans, codes, tests, and creates pull requests, then auto-fixes review comments. SWE-2 is the current frontier model (September 2026), with SWE-1.7 as the cheaper frontier-tier option, and Fusion routes work across model tiers for 60% lower cost in Devin Desktop and the CLI. FrontierCode scores whether generated code is actually merge-worthy. Auto-Triage turns monitored bugs into fix PRs, the Security Vulnerability Remediation Program clears backlog at scale, and sessions persist across runs rather than restarting. Native Windows VMs and Android emulator integration cover cross-platform builds and mobile testing — neither appears in TabTin's feature set.
Pricing compared
TabTin is freemium and open source: the current release is dated 9.21, you download it, and you carry the cost of running and maintaining it. There is no per-seat quote to negotiate and no contract, but also no vendor SLA — the trade is setup time and operational ownership for zero license line item. Its stated not-for list explicitly excludes users who need a documented public API or CLI for custom automation, so budget for integration work accordingly.
Cognition AI is pricing_type: contact. Nothing published, no self-serve tier — Cognition's own not-for list includes buyers who need published self-serve pricing before they can start. The cost story is internal rather than posted: SWE-1.7 is positioned as frontier intelligence at a fraction of the cost, and Fusion is reported to deliver frontier performance at 60% lower cost than routing everything to the top tier. For procurement that means an enterprise contract conversation, with the $10M guarantee and FedRAMP High In-Process status as the levers. If you cannot get through a sales cycle, TabTin is the only one of the two you can actually start using today; if you need a signed outcome guarantee, only Cognition offers one.
Who should pick which
- Small product team already living in group chatPick: TabTin
Agents detect anomalies from messages and logs inside the group chat the team already uses, and the 48 Skills packages plug into that same workflow.
- Enterprise platform team with a large production codebasePick: Cognition AI
Devin plans, codes, tests, and opens PRs autonomously, with Auto-Triage and the Security Vulnerability Remediation Program absorbing backlog-scale work.
- Team mixing code, docs, spreadsheets, and web research on one taskPick: TabTin
It is the only one of the two with document, spreadsheet, and live browser surfaces alongside the code surface.
- Regulated agency or government buyerPick: Cognition AI
Devin holds FedRAMP High In-Process status, making it procurable where compliance review is a hard gate.
- Engineer needing Windows and Android build/test coveragePick: Cognition AI
Native Windows VM support and Android emulator integration are listed by Cognition and have no TabTin equivalent in the data.
Frequently Asked Questions
Can I try either one without talking to sales?
TabTin, yes — it is freemium and downloadable, with a current release dated 9.21. Cognition AI is listed as contact pricing and explicitly flags that it is not for buyers who need published self-serve pricing before starting, so expect a sales conversation.
Which one can my team actually audit before it writes to production?
TabTin is built around that: a Checkpoint is saved before every write with rollback of execution state, publish/write actions require human approval, and repository permissions are enforced per team member and connector.
Does either handle bugs my team never filed?
Cognition does via Auto-Triage, which monitors bugs and produces automated fix PRs, plus the Security Vulnerability Remediation Program for clearing vulnerability backlogs.
What does Cognition's Fusion actually change for me?
Fusion routes work across model tiers inside Devin Desktop and the CLI, and Cognition reports frontier performance at 60% lower cost than the alternative tier usage.
Is TabTin's integration list a limitation?
Its connectors are GitHub and a browser connector, with 48 official Skills packages selectable from the app section. That is far narrower than Cognition's list (GitLab, Bitbucket, Slack, Teams, Jira, Linear, Datadog, Windsurf), and TabTin's own not-for list calls out teams needing a mature third-party integration ecosystem out of the box.
Who should not buy either?
Solo users wanting a lightweight personal assistant, and anyone unwilling to self-host open-source software, should skip TabTin. Individual developers wanting only inline editor suggestions, hobbyists, and teams without review capacity for agent-authored PRs should skip Cognition.
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Last reviewed: September 22, 2026