--- title: "anything-llm vs ChatMock" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-raybytes-chatmock" tools: ["mintplex-labs-anything-llm", "raybytes-chatmock"] --- # anything-llm vs ChatMock *GraphCanon updated Jul 15, 2026* ## Verdict Pick anything-llm when anything-llm is primarily JavaScript; ChatMock is Python; pick ChatMock when chatMock is primarily Python; anything-llm is JavaScript. [anything-llm](https://anythingllm.com) reports 63k GitHub stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. [ChatMock](https://github.com/RayBytes/ChatMock) has 1.5k stars, 212 forks, and 12 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [ChatMock's repository](https://github.com/RayBytes/ChatMock). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | OpenAI & Ollama compatible API powered by Codex | | Stars | 63,100 | 1,509 | | Forks | 6,907 | 212 | | Open issues | 320 | 12 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 320 | 12 | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/raybytes-chatmock/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; ChatMock is Python. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - Also covers AI Agents. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### Choose ChatMock if… - ChatMock is primarily Python; anything-llm is JavaScript. - Tags unique to ChatMock: ai, chatgpt, codex, gpt-5. - Also covers Developer Tools. - ChatMock ships Docker support for self-hosted deployment. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## When NOT to use ChatMock - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between anything-llm and ChatMock? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. ChatMock: OpenAI & Ollama compatible API powered by Codex. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over ChatMock? Choose anything-llm over ChatMock when anything-llm is primarily JavaScript; ChatMock is Python; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers AI Agents; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I choose ChatMock over anything-llm? Choose ChatMock over anything-llm when ChatMock is primarily Python; anything-llm is JavaScript; Tags unique to ChatMock: ai, chatgpt, codex, gpt-5; Also covers Developer Tools; ChatMock ships Docker support for self-hosted deployment. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### When should I avoid ChatMock? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is anything-llm or ChatMock more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 1,509). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and ChatMock open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, ChatMock: MIT). ### Where can I find alternatives to anything-llm or ChatMock? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/mintplex-labs-anything-llm-vs-raybytes-chatmock.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or ChatMock? anything-llm: Very active. ChatMock: 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 anything-llm and ChatMock? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [ChatMock trust report](/tools/raybytes-chatmock/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_