--- title: "ChatMock vs aichat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/raybytes-chatmock-vs-sigoden-aichat" tools: ["raybytes-chatmock", "sigoden-aichat"] --- # ChatMock vs aichat *GraphCanon updated Sep 20, 2026* ## Verdict Pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing; pick aichat if aichat. [ChatMock](https://github.com/RayBytes/ChatMock) reports 1.5k GitHub stars, 212 forks, and 14 open issues, last pushed Sep 1, 2026. [aichat](https://github.com/sigoden/aichat) has 10k stars, 731 forks, and 95 open issues, last pushed Feb 23, 2026. Figures are from public GitHub metadata via [ChatMock's repository](https://github.com/RayBytes/ChatMock) and [aichat's repository](https://github.com/sigoden/aichat). | | [ChatMock](/tools/raybytes-chatmock.md) | [aichat](/tools/sigoden-aichat.md) | | --- | --- | --- | | Tagline | OpenAI & Ollama compatible API powered by Codex | All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents | | Stars | 1,545 | 10,365 | | Forks | 212 | 731 | | Open issues | 14 | 95 | | Language | Python | Rust | | Adopt for | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | aichat | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatMock](/tools/raybytes-chatmock.md) | [aichat](/tools/sigoden-aichat.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 19d | 176d | | Open issues (now) | 14 | 95 | | Stars delta | +17 (30d) | +111 (30d) | | Open issues delta | +7 (30d) | +5 (30d) | | Full report | [trust report](/tools/raybytes-chatmock/trust.md) | [trust report](/tools/sigoden-aichat/trust.md) | ## 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. ## Decision facts: aichat - **Adopt for:** aichat ## Choose when ### Choose ChatMock if… - ChatMock is primarily Python; aichat is Rust. - License: ChatMock is MIT, aichat is Apache-2.0. - 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 Inference & Serving. - 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. ### Choose aichat if… - aichat is primarily Rust; ChatMock is Python. - License: aichat is Apache-2.0, ChatMock is MIT. - Tags unique to aichat: ai-agents, cli, function-calling, llm. - Also covers AI Agents. - You need a CLI tool that integrates seamlessly with various large language models such as OpenAI, Claude, Gemini, Ollama, Groq. ## 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. ## When NOT to use aichat - You are looking specifically for a GUI-based tool, as aichat focuses on CLI operations. - If your main need is a highly specialized function for which there's another tool optimized better than aichat's more general approach. - You require real-time collaboration features that go beyond simple chat and command processing; aichat may not support such complex collaborative functionalities. ## Common questions ### What is the difference between ChatMock and aichat? ChatMock: OpenAI & Ollama compatible API powered by Codex. aichat: All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatMock over aichat? Choose ChatMock over aichat when ChatMock is primarily Python; aichat is Rust; License: ChatMock is MIT, aichat is Apache-2.0; 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 Inference & Serving; 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 choose aichat over ChatMock? Choose aichat over ChatMock when aichat is primarily Rust; ChatMock is Python; License: aichat is Apache-2.0, ChatMock is MIT; Tags unique to aichat: ai-agents, cli, function-calling, llm; Also covers AI Agents; You need a CLI tool that integrates seamlessly with various large language models such as OpenAI, Claude, Gemini, Ollama, Groq. ### 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. ### When should I avoid aichat? You are looking specifically for a GUI-based tool, as aichat focuses on CLI operations. If your main need is a highly specialized function for which there's another tool optimized better than aichat's more general approach. You require real-time collaboration features that go beyond simple chat and command processing; aichat may not support such complex collaborative functionalities. ### Is ChatMock or aichat more popular on GitHub? aichat has more GitHub stars (10,365 vs 1,545). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatMock and aichat open source? Yes - both are open-source projects on GitHub (ChatMock: MIT, aichat: Apache-2.0). ### Where can I find alternatives to ChatMock or aichat? GraphCanon lists graph-backed alternatives at [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) and [aichat alternatives](/tools/sigoden-aichat/alternatives) ([ChatMock markdown twin](/tools/raybytes-chatmock/alternatives.md), [aichat markdown twin](/tools/sigoden-aichat/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/raybytes-chatmock-vs-sigoden-aichat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatMock or aichat? ChatMock: Active. aichat: Slowing. 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 ChatMock and aichat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatMock trust report](/tools/raybytes-chatmock/trust); [aichat trust report](/tools/sigoden-aichat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=raybytes-chatmock`](/api/graphcanon/graph?tool=raybytes-chatmock) - 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/_