--- title: "open-dungeon vs ChatMock" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/newideas99-open-dungeon-vs-raybytes-chatmock" tools: ["newideas99-open-dungeon", "raybytes-chatmock"] --- # open-dungeon vs ChatMock *GraphCanon updated Sep 20, 2026* ## Verdict Pick open-dungeon if open Dungeon stands out with its emphasis on full local processing of both text and image generation, utilizing Gemma 4 QAT via Ollama for interactive-fiction roleplaying experiences; pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. [open-dungeon](https://github.com/newideas99/open-dungeon) reports 228 GitHub stars, 22 forks, and 1 open issues, last pushed Jul 6, 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 [open-dungeon's repository](https://github.com/newideas99/open-dungeon) and [ChatMock's repository](https://github.com/RayBytes/ChatMock). | | [open-dungeon](/tools/newideas99-open-dungeon.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Tagline | easy-to-use fully local AI roleplay app with story and inline scene images generated on your machine | OpenAI & Ollama compatible API powered by Codex | | Stars | 228 | 1,545 | | Forks | 22 | 212 | | Open issues | 1 | 14 | | Language | TypeScript | Python | | Adopt for | Open Dungeon stands out with its emphasis on full local processing of both text and image generation, utilizing Gemma 4 QAT via Ollama for interactive-fiction roleplaying experiences. | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-dungeon](/tools/newideas99-open-dungeon.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 76d | 19d | | Open issues (now) | 1 | 14 | | Stars delta | +16 (30d) | +17 (30d) | | Open issues delta | +1 (30d) | +7 (30d) | | Full report | [trust report](/tools/newideas99-open-dungeon/trust.md) | [trust report](/tools/raybytes-chatmock/trust.md) | ## Decision facts: open-dungeon - **Adopt for:** Open Dungeon stands out with its emphasis on full local processing of both text and image generation, utilizing Gemma 4 QAT via Ollama for interactive-fiction roleplaying experiences. ## 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 open-dungeon if… - open-dungeon is primarily TypeScript; ChatMock is Python. - Tags unique to open-dungeon: image-generation, interactive-fiction, local-llm, on-device-ai. - Also covers Model Training. - When you need to generate roleplay stories and inline scene images entirely offline without relying on any cloud services or API keys ### Choose ChatMock if… - ChatMock is primarily Python; open-dungeon is TypeScript. - 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 NOT to use open-dungeon - When you rely on continuous model updates delivered via the cloud since Open Dungeon processes everything locally and does not connect for updates - If your preferred environment is web-based with real-time collaboration features as Open Dungeon focuses purely on local execution, lacking online connectivity altogether ## 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 open-dungeon and ChatMock? open-dungeon: easy-to-use fully local AI roleplay app with story and inline scene images generated on your machine. ChatMock: OpenAI & Ollama compatible API powered by Codex. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-dungeon over ChatMock? Choose open-dungeon over ChatMock when open-dungeon is primarily TypeScript; ChatMock is Python; Tags unique to open-dungeon: image-generation, interactive-fiction, local-llm, on-device-ai; Also covers Model Training; When you need to generate roleplay stories and inline scene images entirely offline without relying on any cloud services or API keys. ### When should I choose ChatMock over open-dungeon? Choose ChatMock over open-dungeon when ChatMock is primarily Python; open-dungeon is TypeScript; 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 avoid open-dungeon? When you rely on continuous model updates delivered via the cloud since Open Dungeon processes everything locally and does not connect for updates If your preferred environment is web-based with real-time collaboration features as Open Dungeon focuses purely on local execution, lacking online connectivity altogether ### 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 open-dungeon or ChatMock more popular on GitHub? ChatMock has more GitHub stars (1,545 vs 228). Stars measure visibility, not whether either tool fits your constraints. ### Are open-dungeon and ChatMock open source? Yes - both are open-source projects on GitHub (open-dungeon: MIT, ChatMock: MIT). ### Where can I find alternatives to open-dungeon or ChatMock? GraphCanon lists graph-backed alternatives at [open-dungeon alternatives](/tools/newideas99-open-dungeon/alternatives) and [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) ([open-dungeon markdown twin](/tools/newideas99-open-dungeon/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/newideas99-open-dungeon-vs-raybytes-chatmock.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-dungeon or ChatMock? open-dungeon: Steady. 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 open-dungeon and ChatMock? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-dungeon trust report](/tools/newideas99-open-dungeon/trust); [ChatMock trust report](/tools/raybytes-chatmock/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=newideas99-open-dungeon`](/api/graphcanon/graph?tool=newideas99-open-dungeon) - 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/_