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Goose vs Tab Council

Which one should you try?

Goose

Free

Best for Developers who want an open-source agent for file and shell tasks

Visit Goose See full review

Tab Council

Free

Best for Teams deploying AI coding agents in production codebases

Visit Tab Council See full review

Field notes

All field notes →

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Goose

Goose

Goose is an open-source agent with a desktop app, CLI and API, MCP extensions and reusable recipes. We ran it on three tasks with a local 3B model and with Claude Opus 5.5.

Tab Council

Tab Council

Orbit wraps agent coding work in a bounded loop: it selects a dependency-ordered task, hands it to whichever agent you've wired up, then requires passing tests, lint, and type checks before the task closes. Every run produces structured JSON — what the agent returned, how it scored against a rubric, and a human-readable progress log. Nothing advances on the agent's word alone. The ceiling appears when your workflow needs anything beyond single-task validation loops: multi-repo coordination, branching logic between tasks, or a hosted dashboard for non-engineering stakeholders all require you to build on top of Orbit yourself.

AttributeGooseTab Council
PricingFreeFree
Pricing checkedNot checked yetNot checked yet
Free trialNot statedNot stated
Open sourceYesYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsmacOS, Linux, WindowsLinux, macOS, Windows (Python 3.7+)
Released2025—
Pros
  • Passed 5 of 9 tasks with a 3B local model, the best of the three agents we tested.
  • Lowest token use with Claude Opus 5.5: about 7,800 tokens per task and $0.14 for all 9 runs.
  • A small fixed prompt (about 1,150 tokens), a tenth of Hermes Agent's.
  • Desktop app, CLI and API, with MCP extensions and recipes you can reuse.
  • Validation gates run real tests, lint, and type checks before a task closes, so an agent cannot mark work complete without machine-verifiable proof — which eliminates the entire category of 'it worked on my machine' agent claims.
  • Agent-neutral adapter contract means swapping the underlying coding model is a configuration change, not a rewrite, so you can compare two agents on identical tasks using the same artifact rubric instead of gut feel.
  • Dependency-ordered backlog execution advances one verified task at a time, so large refactoring or migration projects do not accumulate unvalidated state across dozens of agent runs.
  • Every run writes structured JSON artifacts — result, evaluation, review recommendation, and a human-readable progress log — so audits, rollbacks, and post-mortems have a durable evidence trail rather than reconstructed memory.
  • MIT licensed and self-hosted with a four-command local install, so there is no vendor dependency, no data leaving your environment, and no paid tier gating any part of the validation loop.
Cons
  • With a 3B model it got only 1 of 3 report summaries and 1 of 3 CSV counts right, so plan on a bigger model for real work.
  • It contacts models.dev on every run (it kept working when we blocked it).
  • Running Goose locally doesn't keep your data local by itself; that depends on the model provider and extensions you connect.
  • Orbit enforces validation through your existing test suite and lint rules — codebases with sparse coverage get toothless gates, and the harness has no mechanism to generate or scaffold the tests it needs; teams in that position must build coverage before Orbit adds value.
  • There is no hosted runner, web dashboard, or notification layer; non-engineering stakeholders cannot monitor progress without someone piping the JSON artifacts into a separate reporting tool — at which point you are maintaining Orbit plus that layer.
  • The harness handles one task per orbit sequentially; workflows that need agents running in parallel on independent branches, or that need branching logic based on what a previous step returned, require you to build a coordination layer on top — teams whose primary need is multi-agent parallelism will reach for a different tool before the first sprint ends.

Made up your mind?

Goose

Free

Best for Developers who want an open-source agent for file and shell tasks

Visit Goose See full review

Tab Council

Free

Best for Teams deploying AI coding agents in production codebases

Visit Tab Council See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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