{"adoption": {"forks": 359, "observed_at": "2026-08-28T04:05:16.499941+00:00", "stars": 1647}, "canonical_url": "https://ross.abutalabs.com/products/concordia", "card": {"archived": false, "artifact_type": "library", "description": "A library for generative social simulation", "domain": ["artificial-intelligence", "simulation", "large-language-models", "data-science"], "enriched": true, "function": ["agent-framework", "simulation", "llm-inference", "data-generation"], "health_score": 96, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["google-deepmind/concordia"], "name": "google-deepmind/concordia", "platform": ["python", "cross-platform"], "pushed_at": "2026-08-14T20:27:00+00:00", "repo": "google-deepmind/concordia", "stars": 1647, "tags": ["generative-agents", "agent-based-simulation", "social-simulation", "game-master", "multi-agent", "llm-driven-agents", "synthetic-data", "ai-agents"], "topics": ["agent-based-simulation", "generative-agents", "multi-agent", "social-simulation"], "urls": [], "use_cases": ["simulate social interactions between LLM-powered agents", "run generative agent-based models for social science research", "generate synthetic data for personalization", "evaluate real services through simulated usage", "study AI safety and ethics with simulated agents", "model economic or cognitive scenarios with multi-agent simulation"], "what_it_is": "Concordia is a Python library for building generative agent-based social simulations, using a tabletop role-playing game pattern where a Game Master entity simulates environments and resolves natural-language actions from agent entities. It provides modular components, prefabs, and a simulation engine for constructing multi-agent models.", "when_to_avoid": ["you need high-performance numeric agent-based modeling without LLMs", "you want a production chatbot or agent deployment framework rather than a research simulation library", "you have no access to an LLM API"], "when_to_choose": ["you need LLM-driven multi-agent simulations with natural-language actions", "you want a modular, component-based agent architecture with a Game Master pattern", "you are doing social science, economics, or AI safety research with simulated agents"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/concordia", "repo": "google-deepmind/concordia", "role": "main", "score": 84}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:16.499941+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:45:18.468198+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "de7c8cf713613e525c52f4b29b1fba9914513c61d329ff1fefbb6c33a090b93f", "fetched_at": "2026-08-28T04:05:16.499941+00:00", "kind": "readme", "missing": false, "url": "https://github.com/google-deepmind/concordia"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 97, "longevity": 72, "rhythm": 73}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1016, "days_push": 19, "days_rel": 180, "gap_med": 11, "n_releases_24m": 20}, "score": 84, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}