--- title: "agentscope vs deep-chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-ovidijusparsiunas-deep-chat" tools: ["agentscope-ai-agentscope", "ovidijusparsiunas-deep-chat"] --- # agentscope vs deep-chat *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 deep-chat if deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. [agentscope](https://docs.agentscope.io/) reports 32k GitHub stars, 3.5k forks, and 374 open issues, last pushed Sep 18, 2026. [deep-chat](https://deepchat.dev) has 3.7k stars, 455 forks, and 39 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agentscope's repository](https://github.com/agentscope-ai/agentscope) and [deep-chat's repository](https://github.com/OvidijusParsiunas/deep-chat). | | [agentscope](/tools/agentscope-ai-agentscope.md) | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | | --- | --- | --- | | Tagline | Build and run agents you can see, understand and trust. | Fully customizable AI chatbot component for website integration | | Stars | 31,912 | 3,716 | | Forks | 3,517 | 455 | | Open issues | 374 | 39 | | Language | Python | TypeScript | | 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. | deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. | | 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) | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 374 | 39 | | Stars delta | +2.9k (30d) | +17 (30d) | | Open issues delta | +20 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/ovidijusparsiunas-deep-chat/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: deep-chat - **Adopt for:** deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. ## Choose when ### Choose agentscope if… - agentscope is primarily Python; deep-chat is TypeScript. - License: agentscope is Apache-2.0, deep-chat 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 deep-chat if… - deep-chat is primarily TypeScript; agentscope is Python. - License: deep-chat is MIT, agentscope is Apache-2.0. - Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini. - Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ## 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 deep-chat - Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. - Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ## Common questions ### What is the difference between agentscope and deep-chat? agentscope: Build and run agents you can see, understand and trust.. deep-chat: Fully customizable AI chatbot component for website integration. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentscope over deep-chat? Choose agentscope over deep-chat when agentscope is primarily Python; deep-chat is TypeScript; License: agentscope is Apache-2.0, deep-chat 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 deep-chat over agentscope? Choose deep-chat over agentscope when deep-chat is primarily TypeScript; agentscope is Python; License: deep-chat is MIT, agentscope is Apache-2.0; Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini; Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ### 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 deep-chat? Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ### Is agentscope or deep-chat more popular on GitHub? agentscope has more GitHub stars (31,912 vs 3,716). Stars measure visibility, not whether either tool fits your constraints. ### Are agentscope and deep-chat open source? Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, deep-chat: MIT). ### Where can I find alternatives to agentscope or deep-chat? GraphCanon lists graph-backed alternatives at [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) and [deep-chat alternatives](/tools/ovidijusparsiunas-deep-chat/alternatives) ([agentscope markdown twin](/tools/agentscope-ai-agentscope/alternatives.md), [deep-chat markdown twin](/tools/ovidijusparsiunas-deep-chat/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-ovidijusparsiunas-deep-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentscope or deep-chat? agentscope: Very active. deep-chat: 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 deep-chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentscope trust report](/tools/agentscope-ai-agentscope/trust); [deep-chat trust report](/tools/ovidijusparsiunas-deep-chat/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/_