--- title: "agentscope vs captain-claw" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-kstevica-captain-claw" tools: ["agentscope-ai-agentscope", "kstevica-captain-claw"] --- # agentscope vs captain-claw *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentscope if agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities; pick captain-claw if self-hosted ensemble reasoning and agentic coding framework for orchestrating specialist AI agents. [agentscope](https://docs.agentscope.io/) reports 32k GitHub stars, 3.5k forks, and 374 open issues, last pushed Sep 18, 2026. [captain-claw](https://captain-claw.com) has 163 stars, 15 forks, and 0 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [agentscope's repository](https://github.com/agentscope-ai/agentscope) and [captain-claw's repository](https://github.com/kstevica/captain-claw). | | [agentscope](/tools/agentscope-ai-agentscope.md) | [captain-claw](/tools/kstevica-captain-claw.md) | | --- | --- | --- | | Tagline | Build and run agents you can see, understand and trust. | Self-hosted framework for orchestrating fleets of specialist AI agents | | Stars | 31,912 | 163 | | Forks | 3,517 | 15 | | Open issues | 374 | 0 | | Language | Python | Python | | Adopt for | agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities. | Self-hosted ensemble reasoning and agentic coding framework for orchestrating specialist AI agents | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentscope](/tools/agentscope-ai-agentscope.md) | [captain-claw](/tools/kstevica-captain-claw.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 374 | 0 | | Stars delta | +2.9k (30d) | +2 (30d) | | Open issues delta | +20 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/kstevica-captain-claw/trust.md) | ## Shared compatibility - **Python**: [agentscope](/tools/agentscope-ai-agentscope.md) - Python runtime; [captain-claw](/tools/kstevica-captain-claw.md) - Python runtime ## Decision facts: agentscope - **Requirements:** Requires Python 3.11 or higher. - **Adopt for:** agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities. - **License detail:** Apache-2.0 ## Decision facts: captain-claw - **Adopt for:** Self-hosted ensemble reasoning and agentic coding framework for orchestrating specialist AI agents ## Choose when ### Choose agentscope if… - License: agentscope is Apache-2.0, captain-claw is MIT. - Requirements: Requires Python 3.11 or higher.. - Tags unique to agentscope: agent, chatbot, large-language-models, llm. - When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants. ### Choose captain-claw if… - License: captain-claw is MIT, agentscope is Apache-2.0. - Tags unique to captain-claw: agent-orchestration, agentic-coding, local-friendly, model agnostic. - captain-claw ships Docker support for self-hosted deployment. - When you need a model-agnostic solution that supports local deployment of multiple AI agents. ## When NOT to use agentscope - If your project requires a framework that supports Python versions lower than 3.11. - When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features. ## When NOT to use captain-claw - Avoid if your project needs cloud-based scalable resources, as captain-claw focuses on local setups. - If ease-of-use and existing community support are prioritized over self-hosting flexibility. ## Common questions ### What is the difference between agentscope and captain-claw? agentscope: Build and run agents you can see, understand and trust.. captain-claw: Self-hosted framework for orchestrating fleets of specialist AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentscope over captain-claw? Choose agentscope over captain-claw when License: agentscope is Apache-2.0, captain-claw is MIT; Requirements: Requires Python 3.11 or higher.; Tags unique to agentscope: agent, chatbot, large-language-models, llm; When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants. ### When should I choose captain-claw over agentscope? Choose captain-claw over agentscope when License: captain-claw is MIT, agentscope is Apache-2.0; Tags unique to captain-claw: agent-orchestration, agentic-coding, local-friendly, model agnostic; captain-claw ships Docker support for self-hosted deployment; When you need a model-agnostic solution that supports local deployment of multiple AI agents. ### When should I avoid agentscope? If your project requires a framework that supports Python versions lower than 3.11. When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features. ### When should I avoid captain-claw? Avoid if your project needs cloud-based scalable resources, as captain-claw focuses on local setups. If ease-of-use and existing community support are prioritized over self-hosting flexibility. ### Is agentscope or captain-claw more popular on GitHub? agentscope has more GitHub stars (31,912 vs 163). Stars measure visibility, not whether either tool fits your constraints. ### Are agentscope and captain-claw open source? Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, captain-claw: MIT). ### Where can I find alternatives to agentscope or captain-claw? GraphCanon lists graph-backed alternatives at [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) and [captain-claw alternatives](/tools/kstevica-captain-claw/alternatives) ([agentscope markdown twin](/tools/agentscope-ai-agentscope/alternatives.md), [captain-claw markdown twin](/tools/kstevica-captain-claw/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentscope-ai-agentscope-vs-kstevica-captain-claw.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentscope or captain-claw? agentscope: Very active. captain-claw: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentscope and captain-claw? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentscope trust report](/tools/agentscope-ai-agentscope/trust); [captain-claw trust report](/tools/kstevica-captain-claw/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentscope-ai-agentscope`](/api/graphcanon/graph?tool=agentscope-ai-agentscope) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_