--- title: "Atomic-Chat vs ChatMock" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/atomicbot-ai-atomic-chat-vs-raybytes-chatmock" tools: ["atomicbot-ai-atomic-chat", "raybytes-chatmock"] --- # Atomic-Chat vs ChatMock *GraphCanon updated Sep 20, 2026* ## Verdict Pick Atomic-Chat if atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline; pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. [Atomic-Chat](https://atomic.chat) reports 1.5k GitHub stars, 178 forks, and 55 open issues, last pushed Sep 19, 2026. [ChatMock](https://github.com/RayBytes/ChatMock) has 1.5k stars, 212 forks, and 14 open issues, last pushed Sep 1, 2026. Figures are from public GitHub metadata via [Atomic-Chat's repository](https://github.com/AtomicBot-ai/Atomic-Chat) and [ChatMock's repository](https://github.com/RayBytes/ChatMock). | | [Atomic-Chat](/tools/atomicbot-ai-atomic-chat.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Tagline | Local AI app and inference engine for agents | OpenAI & Ollama compatible API powered by Codex | | Stars | 1,526 | 1,545 | | Forks | 178 | 212 | | Open issues | 55 | 14 | | Language | TypeScript | Python | | Adopt for | Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Developer Tools, Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Atomic-Chat](/tools/atomicbot-ai-atomic-chat.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 19d | | Open issues (now) | 55 | 14 | | Stars delta | +368 (30d) | +17 (30d) | | Open issues delta | +11 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/atomicbot-ai-atomic-chat/trust.md) | [trust report](/tools/raybytes-chatmock/trust.md) | ## Decision facts: Atomic-Chat - **Hosting:** self hosted - **Requirements:** Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally. - **Adopt for:** Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. ## Decision facts: ChatMock - **Pricing:** freemium - Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. ## Choose when ### Choose Atomic-Chat if… - Atomic-Chat is primarily TypeScript; ChatMock is Python. - License: Atomic-Chat is Other, ChatMock is MIT. - Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.. - Tags unique to Atomic-Chat: ai-agent, local-first, open-source. - Also covers Developer Tools. - When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required. ### Choose ChatMock if… - ChatMock is primarily Python; Atomic-Chat is TypeScript. - License: ChatMock is MIT, Atomic-Chat is Other. - Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to ChatMock: ai, chatgpt, codex, gpt-5. - Also covers LLM Frameworks. - ChatMock ships Docker support for self-hosted deployment. - Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ## When NOT to use Atomic-Chat - Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. - Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen. ## When NOT to use ChatMock - If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. - Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ## Common questions ### What is the difference between Atomic-Chat and ChatMock? Atomic-Chat: Local AI app and inference engine for agents. ChatMock: OpenAI & Ollama compatible API powered by Codex. See the comparison table for live GitHub stats and shared categories. ### When should I choose Atomic-Chat over ChatMock? Choose Atomic-Chat over ChatMock when Atomic-Chat is primarily TypeScript; ChatMock is Python; License: Atomic-Chat is Other, ChatMock is MIT; Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.; Tags unique to Atomic-Chat: ai-agent, local-first, open-source; Also covers Developer Tools; When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required. ### When should I choose ChatMock over Atomic-Chat? Choose ChatMock over Atomic-Chat when ChatMock is primarily Python; Atomic-Chat is TypeScript; License: ChatMock is MIT, Atomic-Chat is Other; Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to ChatMock: ai, chatgpt, codex, gpt-5; Also covers LLM Frameworks; ChatMock ships Docker support for self-hosted deployment; Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ### When should I avoid Atomic-Chat? Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen. ### When should I avoid ChatMock? If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ### Is Atomic-Chat or ChatMock more popular on GitHub? ChatMock has more GitHub stars (1,545 vs 1,526). Stars measure visibility, not whether either tool fits your constraints. ### Are Atomic-Chat and ChatMock open source? Yes - both are open-source projects on GitHub (Atomic-Chat: Other, ChatMock: MIT). ### Where can I find alternatives to Atomic-Chat or ChatMock? GraphCanon lists graph-backed alternatives at [Atomic-Chat alternatives](/tools/atomicbot-ai-atomic-chat/alternatives) and [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) ([Atomic-Chat markdown twin](/tools/atomicbot-ai-atomic-chat/alternatives.md), [ChatMock markdown twin](/tools/raybytes-chatmock/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/atomicbot-ai-atomic-chat-vs-raybytes-chatmock.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Atomic-Chat or ChatMock? Atomic-Chat: Very active. ChatMock: 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 Atomic-Chat and ChatMock? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Atomic-Chat trust report](/tools/atomicbot-ai-atomic-chat/trust); [ChatMock trust report](/tools/raybytes-chatmock/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=atomicbot-ai-atomic-chat`](/api/graphcanon/graph?tool=atomicbot-ai-atomic-chat) - 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/_