{"adoption": {"forks": 127, "observed_at": "2026-08-28T04:04:39.726189+00:00", "stars": 1415}, "canonical_url": "https://ross.abutalabs.com/products/internagent", "card": {"archived": false, "artifact_type": "framework", "description": "InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery", "domain": ["artificial-intelligence", "large-language-models", "data-science"], "enriched": true, "function": ["agent-framework", "llm-inference", "machine-learning", "rag", "workflow-automation"], "health_score": 77, "homepage": "https://discovery.intern-ai.org.cn/home", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "active", "member_repos": ["InternScience/InternAgent"], "name": "InternScience/InternAgent", "platform": ["python", "cross-platform"], "pushed_at": "2026-07-29T07:46:45+00:00", "repo": "InternScience/InternAgent", "stars": 1415, "tags": ["ai-scientist", "autonomous-scientific-discovery", "hypothesis-generation", "multi-agent-systems", "deep-research", "paper-reproduction", "long-horizon-agents", "coding-agents", "ai-agents", "research-automation", "linux", "macos"], "topics": ["agentic-framework", "ai-scientists", "automatic-paper-survey", "automatic-scientific-discovery", "coding-agents", "hypothesis-generation", "llm-coder", "multi-agent-systems"], "urls": [], "use_cases": ["automate end-to-end scientific research from hypothesis to experiment", "generate and validate research hypotheses with LLM agents", "reproduce scientific papers autonomously", "run multi-agent deep research on complex questions", "discover and optimize algorithms automatically", "coordinate wet-lab and dry-lab experiment workflows", "build custom multi-agent pipelines for scientific tasks"], "what_it_is": "InternAgent-1.5 is a Python-based unified agentic framework for long-horizon autonomous scientific discovery, orchestrating multi-agent systems that generate hypotheses, run experiments, and reproduce scientific papers. It supports end-to-end automation across physical, biology, earth, and life sciences, plus algorithm discovery and deep research capabilities.", "when_to_avoid": ["you need a simple single-agent chatbot or assistant", "your use case is general-purpose web or app development", "you require a lightweight agent framework with minimal dependencies", "you cannot provide LLM API keys or lack GPU/API resources for large-scale inference"], "when_to_choose": ["you need autonomous agents that run long-horizon scientific research workflows", "you want hypothesis generation, experiment execution, and paper reproduction in one framework", "you need multi-agent orchestration across scientific domains like biology or physics", "you want an open-source AI-scientist system with deep research integration"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/internagent", "repo": "InternScience/InternAgent", "role": "main", "score": 62}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:39.726189+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:38:07.789637+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "25437546c9db776f1e2c677b8afa0e8bc11748eaa592739475a0b54a494059d6", "fetched_at": "2026-08-28T04:04:39.726189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/InternScience/InternAgent"}, {"content_hash": "aaf8c7eea79c70baadf6f8523c57275fc154fd108fe248659f89dffd07026e8a", "fetched_at": "2026-08-29T11:51:04.063095+00:00", "kind": "homepage", "missing": false, "url": "https://discovery.intern-ai.org.cn/home"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 95, "longevity": 33, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 474, "days_push": 35, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 62, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}