{"adoption": {"forks": 499, "observed_at": "2026-08-28T04:08:53.543739+00:00", "stars": 4566}, "canonical_url": "https://ross.abutalabs.com/products/thirdlayerinc-autoagent", "card": {"archived": false, "artifact_type": "framework", "description": "autonomous harness engineering", "domain": ["large-language-models", "artificial-intelligence", "developer-tools"], "enriched": true, "function": ["agent-framework", "llm-training", "benchmarking", "machine-learning", "developer-tools"], "health_score": 65, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["thirdlayerinc/autoagent"], "name": "thirdlayerinc/autoagent", "platform": ["python", "cross-platform"], "pushed_at": "2026-04-03T21:11:51+00:00", "repo": "thirdlayerinc/autoagent", "stars": 4566, "tags": ["meta-agent", "autonomous-agents", "harness-engineering", "hill-climbing", "self-improving-agents", "agent-optimization", "harbor", "llm-benchmarking", "ai-agents", "automation", "docker", "linux", "macos"], "topics": [], "urls": [], "use_cases": ["automatically improve an AI agent's benchmark score overnight", "let an LLM meta-agent iterate on agent prompts and tool definitions", "run autonomous agent engineering loops against Harbor-format tasks", "optimize agent orchestration and routing without manual coding", "evaluate and hill-climb agent harnesses on task suites", "bootstrap self-configuring agents from a markdown directive"], "what_it_is": "AutoAgent is a Python-based meta-agent harness that autonomously builds and iterates on AI agent harnesses. It edits an agent's system prompt, tools, configuration, and orchestration, runs benchmark evaluations via Harbor, and hill-climbs on the benchmark score without human intervention.", "when_to_avoid": ["you need a production-ready agent framework with a stable API and support", "you have no benchmark tasks or scoring metric to hill-climb on", "you can't provide Docker and LLM provider credentials", "you need a permissively licensed project - it currently has no license"], "when_to_choose": ["you want an AI to autonomously optimize an agent harness against a scored benchmark", "you already use Harbor-format evaluation tasks and Docker", "you prefer editing a single program.md directive instead of harness code", "you're experimenting with self-improving or self-configuring agent systems"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/thirdlayerinc-autoagent", "repo": "thirdlayerinc/autoagent", "role": "main", "score": 48}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.543739+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:19:58.963874+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3af589500da00f2bfe39e0dd375e2454d63e338b6d7d18402216eddf86606f60", "fetched_at": "2026-08-28T04:08:53.543739+00:00", "kind": "readme", "missing": false, "url": "https://github.com/thirdlayerinc/autoagent"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 75, "longevity": 10, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "young", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 153, "days_push": 152, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 48, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}