--- title: "agentscope vs Alpaca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-jeffser-alpaca" tools: ["agentscope-ai-agentscope", "jeffser-alpaca"] --- # agentscope vs Alpaca *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 Alpaca if alpaca is an Ollama client for managing and chatting with multiple AI models. This interface facilitates interactions locally and online, supporting integrations with third parties like Gemini and ChatGPT. [agentscope](https://docs.agentscope.io/) reports 32k GitHub stars, 3.5k forks, and 374 open issues, last pushed Sep 18, 2026. [Alpaca](https://jeffser.com/alpaca) has 1.6k stars, 144 forks, and 131 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [agentscope's repository](https://github.com/agentscope-ai/agentscope) and [Alpaca's repository](https://github.com/Jeffser/Alpaca). | | [agentscope](/tools/agentscope-ai-agentscope.md) | [Alpaca](/tools/jeffser-alpaca.md) | | --- | --- | --- | | Tagline | Build and run agents you can see, understand and trust. | Alpaca is an Ollama client for managing and chatting with multiple AI models. | | Stars | 31,912 | 1,637 | | Forks | 3,517 | 144 | | Open issues | 374 | 131 | | 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. | Alpaca is an Ollama client for managing and chatting with multiple AI models. This interface facilitates interactions locally and online, supporting integrations with third parties like Gemini and ChatGPT. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents | AI Agents, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentscope](/tools/agentscope-ai-agentscope.md) | [Alpaca](/tools/jeffser-alpaca.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 47d | | Open issues (now) | 374 | 131 | | Stars delta | +2.9k (30d) | +18 (30d) | | Open issues delta | +20 (30d) | +9 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/jeffser-alpaca/trust.md) | ## 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: Alpaca - **Adopt for:** Alpaca is an Ollama client for managing and chatting with multiple AI models. This interface facilitates interactions locally and online, supporting integrations with third parties like Gemini and ChatGPT. ## Choose when ### Choose agentscope if… - License: agentscope is Apache-2.0, Alpaca is GPL-3.0. - 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 Alpaca if… - License: Alpaca is GPL-3.0, agentscope is Apache-2.0. - Tags unique to Alpaca: adwaita, flatpak, gnome, gtk4. - Also covers Computer Vision. - Use Alpaca when you need a frontend interface that allows interaction with various local and cloud-hosted AI models. ## 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 Alpaca - Do not use Alpaca if your project strictly prohibits the inclusion of third-party AI providers like Gemini or ChatGPT due to compliance restrictions. - Avoid using Alpaca when you require highly specialized AI interactions that go beyond chat and basic content recognition capabilities. ## Common questions ### What is the difference between agentscope and Alpaca? agentscope: Build and run agents you can see, understand and trust.. Alpaca: Alpaca is an Ollama client for managing and chatting with multiple AI models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentscope over Alpaca? Choose agentscope over Alpaca when License: agentscope is Apache-2.0, Alpaca is GPL-3.0; 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 Alpaca over agentscope? Choose Alpaca over agentscope when License: Alpaca is GPL-3.0, agentscope is Apache-2.0; Tags unique to Alpaca: adwaita, flatpak, gnome, gtk4; Also covers Computer Vision; Use Alpaca when you need a frontend interface that allows interaction with various local and cloud-hosted AI models. ### 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 Alpaca? Do not use Alpaca if your project strictly prohibits the inclusion of third-party AI providers like Gemini or ChatGPT due to compliance restrictions. Avoid using Alpaca when you require highly specialized AI interactions that go beyond chat and basic content recognition capabilities. ### Is agentscope or Alpaca more popular on GitHub? agentscope has more GitHub stars (31,912 vs 1,637). Stars measure visibility, not whether either tool fits your constraints. ### Are agentscope and Alpaca open source? Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, Alpaca: GPL-3.0). ### Where can I find alternatives to agentscope or Alpaca? GraphCanon lists graph-backed alternatives at [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) and [Alpaca alternatives](/tools/jeffser-alpaca/alternatives) ([agentscope markdown twin](/tools/agentscope-ai-agentscope/alternatives.md), [Alpaca markdown twin](/tools/jeffser-alpaca/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-jeffser-alpaca.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentscope or Alpaca? agentscope: Very active. Alpaca: Steady. 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 Alpaca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentscope trust report](/tools/agentscope-ai-agentscope/trust); [Alpaca trust report](/tools/jeffser-alpaca/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/_