--- title: "OpenChat vs ChatMock" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/opencx-labs-openchat-vs-raybytes-chatmock" tools: ["opencx-labs-openchat", "raybytes-chatmock"] --- # OpenChat vs ChatMock *GraphCanon updated Aug 15, 2026* ## Verdict Pick OpenChat if critical facts on using OpenChat; pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. [OpenChat](https://open.cx) reports 5.2k GitHub stars, 644 forks, and 37 open issues, last pushed Feb 27, 2024. [ChatMock](https://github.com/RayBytes/ChatMock) has 1.5k stars, 213 forks, and 7 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [OpenChat's repository](https://github.com/opencx-labs/OpenChat) and [ChatMock's repository](https://github.com/RayBytes/ChatMock). | | [OpenChat](/tools/opencx-labs-openchat.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Tagline | LLMs custom-chatbots console ⚡ | OpenAI & Ollama compatible API powered by Codex | | Stars | 5,237 | 1,528 | | Forks | 644 | 213 | | Open issues | 37 | 7 | | Language | JavaScript | Python | | Adopt for | Critical facts on using OpenChat | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability, Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenChat](/tools/opencx-labs-openchat.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Active (82%) | | Days since push | 899d | 18d | | Archived on GitHub | Yes | No | | Open issues (now) | 37 | 7 | | Stars delta | -2 (30d) | +19 (30d) | | Open issues delta | 0 (30d) | -5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/opencx-labs-openchat/trust.md) | [trust report](/tools/raybytes-chatmock/trust.md) | ## Decision facts: OpenChat - **Requirements:** Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations - **Adopt for:** Critical facts on using OpenChat ## 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 OpenChat if… - OpenChat is primarily JavaScript; ChatMock is Python. - Requirements: Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations. - Tags unique to OpenChat: custom-chatbots, docker, javascript, openchat console. - Also covers Evaluation & Observability. - Critical facts on using OpenChat ### Choose ChatMock if… - ChatMock is primarily Python; OpenChat is JavaScript. - 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. - 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 OpenChat - OpenChat is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## 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 OpenChat and ChatMock? OpenChat: LLMs custom-chatbots console ⚡. ChatMock: OpenAI & Ollama compatible API powered by Codex. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenChat over ChatMock? Choose OpenChat over ChatMock when OpenChat is primarily JavaScript; ChatMock is Python; Requirements: Requires Docker for setup; Python backend with significant change to Qdrant vector store which might affect existing implementations; Tags unique to OpenChat: custom-chatbots, docker, javascript, openchat console; Also covers Evaluation & Observability; Critical facts on using OpenChat. ### When should I choose ChatMock over OpenChat? Choose ChatMock over OpenChat when ChatMock is primarily Python; OpenChat is JavaScript; 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; 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 OpenChat? OpenChat is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### 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 OpenChat or ChatMock more popular on GitHub? OpenChat has more GitHub stars (5,237 vs 1,528). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenChat and ChatMock open source? Yes - both are open-source projects on GitHub (OpenChat: MIT, ChatMock: MIT). ### Where can I find alternatives to OpenChat or ChatMock? GraphCanon lists graph-backed alternatives at [OpenChat alternatives](/tools/opencx-labs-openchat/alternatives) and [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) ([OpenChat markdown twin](/tools/opencx-labs-openchat/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/opencx-labs-openchat-vs-raybytes-chatmock.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenChat or ChatMock? OpenChat: Archived. 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 OpenChat and ChatMock? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenChat trust report](/tools/opencx-labs-openchat/trust); [ChatMock trust report](/tools/raybytes-chatmock/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=opencx-labs-openchat`](/api/graphcanon/graph?tool=opencx-labs-openchat) - 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/_