{"data":{"slug":"future-agi-agent-opt","name":"agent-opt","tagline":"Open Source Library for Automated Optimization of AI Agent Workflows","github_url":"https://github.com/future-agi/agent-opt","owner":"future-agi","repo":"agent-opt","owner_avatar_url":"https://avatars.githubusercontent.com/u/147392366?v=4","primary_language":"Python","stars":71,"forks":7,"topics":["agent","ai-agents","aioptimization","automation","cicd","evaluation","optimization-algorithms"],"archived":false,"github_pushed_at":"2026-06-30T00:10:45+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/future-agi-agent-opt","markdown_url":"https://www.graphcanon.com/tools/future-agi-agent-opt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/future-agi-agent-opt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=future-agi-agent-opt","description":"Open Source Library for Automated Optimization of AI Agent Workflows ","homepage_url":"https://app.futureagi.com","license":"Apache-2.0","open_issues":0,"watchers":0,"ai_summary":"Future AGI provides an automated optimization library for AI agent workflows with support for cicd and various evaluation metrics. It relies on python libraries including ai-evaluation, litellm, optuna, and gePA.","readme_excerpt":"## Install\n\n```bash\npip install agent-opt\n```\n\n**Requirements:** Python ≥ 3.10 · `ai-evaluation` ≥ 0.2.2 · `litellm` ≥ 1.80 · `optuna` ≥ 3.6 · `gepa` ≥ 0.0.17.\n\n---\n\n---\n\n## License\n\nLicensed under the **Apache License 2.0**. See [LICENSE](LICENSE) and [NOTICE](NOTICE).\n\nPart of the [Future AGI](https://github.com/future-agi/future-agi) open-source ecosystem.\n\n---\n\n<div align=\"center\">\n\nBuilt by the Future AGI team and [contributors](https://github.com/future-agi/agent-opt/graphs/contributors).\n\nIf `agent-opt` helps you ship better agents, a ⭐ helps more teams find us.\n\n[🌐 futureagi.com](https://futureagi.com) · [📖 docs.futureagi.com](https://docs.futureagi.com) · [☁️ app.futureagi.com](https://app.futureagi.com)\n\n</div>","github_created_at":"2025-09-23T06:43:18+00:00","created_at":"2026-07-11T23:37:59.998809+00:00","updated_at":"2026-08-04T12:01:26.479675+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"ai-agents","name":"ai-agents"},{"slug":"aioptimization","name":"aioptimization"},{"slug":"automation","name":"automation"},{"slug":"cicd","name":"cicd"},{"slug":"evaluation","name":"evaluation"},{"slug":"optimization-algorithms","name":"optimization-algorithms"}],"trust":{"provenance":{"is_fork":false,"github_id":1062359288,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-04T12:01:25.669Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":35,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:38:01.806Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-04T12:01:26.180Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-04T12:01:26.180Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-04T12:01:26.180Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["- When your project needs seamless CI/CD integration alongside automated optimization","- If you are working in a Python environment with the latest version requirements, including ai-evaluation ≥ 0.2.2, litellm ≥ 1.80, optuna ≥ 3.6, and gepa ≥ 0.0.17"],"when_not_to_use":["- If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10","- In scenarios where CI/CD integration is not a priority for your AI workflow optimization"],"source":"enrich:decision_facts","observed_at":"2026-07-17T04:10:00.614Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies."}]}}