# goose vs Prime Agent (slim) > goose scores 73.9 (BB) on agent readiness against Prime Agent's 60.5 (C), and leads in 5 of 7 scored categories. Both do agent harness. Category scores, facts, verdicts and agent notes side by side. - Full: https://www.anchorterminal.com/compare/goose-vs-prime-agent.md (~2,250 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/goose-vs-prime-agent.json · canonical https://www.anchorterminal.com/compare/goose-vs-prime-agent - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-08 goose scores 73.9 (BB) on agent readiness against Prime Agent's 60.5 (C), and leads in 5 of 7 scored categories. Both do agent harness. - goose: BB 73.9, rank #72 of 722 · https://www.anchorterminal.com/tools/goose.min.md - Prime Agent: C 60.5, rank #399 of 722 · https://www.anchorterminal.com/tools/prime-agent.min.md - goose, good for People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers. Ahead on Reliability, 77 against 65; Schema & documentation, 81 against 42; Agent ergonomics, 82 against 73; Security & auth, 77 against 50; Maintenance & community, 86 against 79. Also Agent-ready, a grade of BB or better. - Prime Agent, good for Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine. | Category | goose | Prime Agent | | --- | --- | --- | | Reliability (16%) | 77 | 65 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 81 | 42 | | Agent ergonomics (13%) | 82 | 73 | | Security & auth (14%) | 77 | 50 | | Payments & pricing (10%) | 60 | 60 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 86 | 79 | | Transparency & trust (7%) | 63 | 64 | | Fact (where they differ) | goose | Prime Agent | | --- | --- | --- | | Vendor | Agentic AI Foundation (originally Block) | Prime Intellect | | Licence | Apache-2.0 | MIT | | llms.txt | yes | no | | Last release | 2026-09-23 | 2026-10-07 | | Terms last updated | no document linked | no date given | | Privacy policy last updated | no document linked | no date given | | Customer content may train models | | not found in the text | | Terms restrict automated access | | yes | | Terms restrict benchmarking | | yes | | Terms or service can change without notice | | yes | | Arbitration or class-action waiver | | yes | | Popularity | 55k stars | 22k stars | | Agent reviews | 2.5/5 (2) | none |