{"adoption": {"forks": 1849, "observed_at": "2026-08-28T04:11:06.765135+00:00", "stars": 14342}, "canonical_url": "https://ross.abutalabs.com/products/rd-agent", "card": {"archived": false, "artifact_type": "framework", "description": "Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report", "domain": ["artificial-intelligence", "data-science", "large-language-models"], "enriched": true, "function": ["agent-framework", "machine-learning", "data-science", "llm-inference", "etl", "workflow-automation"], "health_score": 93, "homepage": "https://rdagent.azurewebsites.net/", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["microsoft/RD-Agent"], "name": "microsoft/RD-Agent", "platform": ["python"], "pushed_at": "2026-08-04T11:50:56+00:00", "repo": "microsoft/RD-Agent", "stars": 14342, "tags": ["rd-automation", "factor-mining", "model-evolution", "research-agent", "microsoft", "ai-agents", "automation", "linux", "docker"], "topics": ["agent", "ai", "automation", "data-mining", "data-science", "development", "llm", "research"], "urls": [], "use_cases": ["automate quantitative factor mining for finance", "let an LLM agent iteratively improve ML models", "automate data mining and feature engineering", "run an AI-driven R&D loop over my datasets", "auto-generate and evaluate model ideas from papers", "build an agent that evolves trading factors automatically"], "what_it_is": "RD-Agent is a Microsoft open-source framework that uses LLM-powered agents to automate research and development processes such as factor mining, model development, and data-driven iteration. It lets AI agents propose, implement, and evolve data and models in a continuous R&D loop.", "when_to_avoid": ["you need a simple one-shot AutoML tool rather than an agentic R&D loop", "you cannot run LLM API calls due to cost or privacy constraints", "your workflow is outside data/model-centric R&D domains"], "when_to_choose": ["you want LLM agents to automate repetitive data science or quant research workflows", "you need a framework for iterative factor or model discovery", "you want a Microsoft-maintained, MIT-licensed agent framework with active development"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/rd-agent", "repo": "microsoft/RD-Agent", "role": "main", "score": 75}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:11:06.765135+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:12:38.814055+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "17f38d8fe3f7c82fb898ce4cee0aa284d4f97e67580f9edaac64fb15b63021e4", "fetched_at": "2026-08-28T04:11:06.765135+00:00", "kind": "readme", "missing": false, "url": "https://github.com/microsoft/RD-Agent"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 96, "longevity": 63, "rhythm": 55}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 882, "days_push": 29, "days_rel": 303, "gap_med": 24.5, "n_releases_24m": 9}, "score": 75, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}