{"data":{"slug":"future-agi-agent-learning-kit","name":"agent-learning-kit","tagline":"General Purpose Evaluation and Simulation Environment for all your AI related Workflows","github_url":"https://github.com/future-agi/agent-learning-kit","owner":"future-agi","repo":"agent-learning-kit","owner_avatar_url":"https://avatars.githubusercontent.com/u/147392366?v=4","primary_language":"Python","stars":119,"forks":44,"topics":["agentic-ai","ai","ai-agents","cicd","evaluation","ml"],"archived":false,"github_pushed_at":"2026-09-18T03:57:47+00:00","maintenance_label":"Very active","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/future-agi-agent-learning-kit","markdown_url":"https://www.graphcanon.com/tools/future-agi-agent-learning-kit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/future-agi-agent-learning-kit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=future-agi-agent-learning-kit","description":"General Purpose Evaluation and Simulation Environment for all your AI related Workflows ","homepage_url":"https://futureagi.com","license":"Other","open_issues":19,"watchers":1,"ai_summary":"A Python-based toolkit for evaluating and simulating AI workflows, focusing on AI agents and their evaluation.","readme_excerpt":"## Install\n\nInstall from PyPI:\n\n```bash\npip install agent-learning-kit\n```\n\nTo develop against source (contributors):\n\n```bash\ngit clone https://github.com/future-agi/agent-learning-kit\ncd agent-learning-kit\nuv sync          # or: pip install -e .\n```\n\n(npm publishing of the TypeScript SDK lands at the v1 launch.)\n\nOptional Python extras:\n\n```bash\npip install \"agent-learning-kit[livekit]\"\npip install \"agent-learning-kit[nli]\"\npip install \"agent-learning-kit[all]\"\n```\n\nTypeScript evaluation package (npm at launch; today build from\n[`typescript/agent-learning-kit`](https://github.com/future-agi/agent-learning-kit/blob/main/typescript/agent-learning-kit)):\n\n```bash\npnpm add @future-agi/agent-learning-kit\n```","github_created_at":"2025-06-11T10:34:59+00:00","created_at":"2026-07-11T23:07:20.336542+00:00","updated_at":"2026-09-20T04:29:08.121421+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":"agentic-ai","name":"agentic-ai"},{"slug":"ai-agents","name":"ai-agents"},{"slug":"cicd","name":"cicd"},{"slug":"evaluation","name":"evaluation"},{"slug":"ml","name":"ml"}],"trust":{"provenance":{"is_fork":false,"github_id":1000146565,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:13:10.725Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":0,"last_release_at":"2026-04-28T11:12:39Z","stars_delta_30d":1,"open_issues_delta_30d":13},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:13:12.939Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:13:09.632Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-18T08:13:09.632Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-18T08:13:09.632Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-09-18T08:13:09.632Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents","If you are working with Python and want to leverage optional extras like livekit or nli for specific functionalities","When you require a TypeScript SDK for your AI evaluation and simulation tasks, as it will be available at the v1 launch"],"when_not_to_use":["If your project strictly requires a different programming language other than Python or TypeScript","When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras"],"source":"enrich:decision_facts","observed_at":"2026-09-18T09:16:22.020Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language"}]}}