{"adoption": {"forks": 254, "observed_at": "2026-08-28T04:06:16.748461+00:00", "stars": 2123}, "canonical_url": "https://ross.abutalabs.com/products/hexo-ai-sia", "card": {"archived": false, "artifact_type": "framework", "description": "SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.", "domain": ["artificial-intelligence", "machine-learning", "large-language-models"], "enriched": true, "function": ["agent-framework", "llm-training", "machine-learning", "benchmarking"], "health_score": 80, "homepage": "https://hexolabs.com/", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["hexo-ai/sia"], "name": "hexo-ai/sia", "platform": ["python"], "pushed_at": "2026-08-26T17:02:30+00:00", "repo": "hexo-ai/sia", "stars": 2123, "tags": ["self-improving-ai", "meta-agent", "feedback-loop", "agent-optimization", "llm-agents", "autonomous-agents", "research", "ai-agents", "linux", "macos", "gpu"], "topics": [], "urls": [], "use_cases": ["automatically improve an AI agent's performance on a benchmark task", "run a self-improving loop that updates agent harness and weights", "optimize LLM agents for Kaggle-style ML competitions", "improve model performance on scientific tasks like RNA denoising", "generate and refine task-specific agents autonomously", "benchmark self-improving agent systems"], "what_it_is": "SIA is a Python framework implementing a self-improving AI loop in which a Meta-Agent generates a task-specific Target Agent and a Feedback Agent iteratively updates both the agent's harness and model weights to improve benchmark performance. It is the official open-source implementation of the SIA paper (Hebbar et al., 2026) and reports state-of-the-art results on benchmarks like MLE-Bench, LawBench, and CUDA kernel optimization.", "when_to_avoid": ["you need a simple, static agent pipeline without iterative self-modification", "you lack the compute budget for repeated training and evaluation loops", "you need a production-ready, battle-tested framework rather than a research system", "your task has no clear automated evaluation signal for the feedback loop"], "when_to_choose": ["you want an agent system that autonomously improves itself over successive generations", "you need to optimize a model or agent against a measurable benchmark task", "you are researching self-improving or meta-learning agent architectures", "you want to reproduce or build on the SIA paper's results"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/hexo-ai-sia", "repo": "hexo-ai/sia", "role": "main", "score": 59}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:16.748461+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:52:50.247480+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "1e68c7ca4676b6ad0d9a459d6212a75df666ad351b835ecad145c0efc3e6c751", "fetched_at": "2026-08-28T04:06:16.748461+00:00", "kind": "readme", "missing": false, "url": "https://github.com/hexo-ai/sia"}, {"content_hash": "0ad1be7893cf50ad9ca5337e89b5640aa02521e4b81e060ba57ac8e9c37ae1fc", "fetched_at": "2026-08-29T10:32:46.360100+00:00", "kind": "homepage", "missing": false, "url": "https://hexolabs.com/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 11, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "young"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 161, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 59, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}