{"data":{"slug":"agentscope-ai-agentscope","name":"agentscope","tagline":"Build and run agents you can see, understand and trust.","github_url":"https://github.com/agentscope-ai/agentscope","owner":"agentscope-ai","repo":"agentscope","owner_avatar_url":"https://avatars.githubusercontent.com/u/211762292?v=4","primary_language":"Python","stars":28973,"forks":3367,"topics":["agent","chatbot","large-language-models","llm","llm-agent","mcp","multi-agent","multi-modal","react-agent"],"archived":false,"github_pushed_at":"2026-08-14T15:37:06+00:00","maintenance_label":"Very active","stars_delta_30d":1004,"url":"https://www.graphcanon.com/tools/agentscope-ai-agentscope","markdown_url":"https://www.graphcanon.com/tools/agentscope-ai-agentscope.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agentscope-ai-agentscope","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agentscope-ai-agentscope","description":"Build and run agents you can see, understand and trust.","homepage_url":"https://docs.agentscope.io/","license":"Apache-2.0","open_issues":354,"watchers":155,"ai_summary":"agentscope-ai/agentscope is a repository focused on developing and running AI agents, particularly those that are transparent and interpretable. It supports the creation of multi-agent systems and involves large language models (LLMs) in its architecture.","readme_excerpt":"### Installation\n\n> AgentScope requires **Python 3.11** or higher.\n\n#### From PyPI\n\n```bash\nuv pip install agentscope\n```\n\n#### From source\n\n```bash\n\n---\n\n# Install the package in editable mode\ncd agentscope\n\nuv pip install -e .\n```\n\n---\n\n## License\n\nAgentScope is released under Apache License 2.0.","github_created_at":"2024-01-12T03:41:59+00:00","created_at":"2026-07-07T17:32:26.081776+00:00","updated_at":"2026-08-16T18:01:48.985119+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"chatbot","name":"chatbot"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"llm-agent","name":"llm-agent"},{"slug":"multi-agent","name":"multi-agent"},{"slug":"multi-modal","name":"multi-modal"},{"slug":"react-agent","name":"react-agent"}],"trust":{"provenance":{"is_fork":false,"github_id":742244656,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-16T18:01:48.241Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":9,"days_since_push":2,"last_release_at":"2026-08-07T10:39:34Z","stars_delta_30d":1004,"open_issues_delta_30d":70},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:58:55.291Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-16T18:01:48.678Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-16T18:01:48.678Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-16T18:01:48.678Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["- You need to develop AI agents where transparency and interpretability are critical.","- Your project requires integration with large language models while maintaining a focus on agent-based system development.","- You aim to create multi-modal or react agents needing an interpretable architecture for understanding complex interactions."],"when_not_to_use":["- If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need理会"],"source":"enrich:decision_facts","observed_at":"2026-07-11T13:21:27.063Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design"}]}}