--- title: "anything-llm vs maid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-mobile-artificial-intelligence-maid" tools: ["mintplex-labs-anything-llm", "mobile-artificial-intelligence-maid"] --- # anything-llm vs maid *GraphCanon updated Jul 15, 2026* ## Verdict Pick anything-llm when anything-llm is primarily JavaScript; maid is TypeScript; pick maid when maid is primarily TypeScript; 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. [maid](https://github.com/Mobile-Artificial-Intelligence/maid) has 2.6k stars, 269 forks, and 11 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [maid's repository](https://github.com/Mobile-Artificial-Intelligence/maid). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [maid](/tools/mobile-artificial-intelligence-maid.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely. | | Stars | 63,100 | 2,591 | | Forks | 6,907 | 269 | | Open issues | 320 | 11 | | Language | JavaScript | TypeScript | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [maid](/tools/mobile-artificial-intelligence-maid.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 8d | | Open issues (now) | 320 | 11 | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/mobile-artificial-intelligence-maid/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; maid is TypeScript. - 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 maid if… - maid is primarily TypeScript; anything-llm is JavaScript. - Tags unique to maid: android, anthropic, chatbot, chatgpt. - Leaner open-issue backlog (11). ## 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 maid - 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 maid? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. maid: Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely.. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over maid? Choose anything-llm over maid when anything-llm is primarily JavaScript; maid is TypeScript; 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 maid over anything-llm? Choose maid over anything-llm when maid is primarily TypeScript; anything-llm is JavaScript; Tags unique to maid: android, anthropic, chatbot, chatgpt; Leaner open-issue backlog (11). ### 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 maid? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is anything-llm or maid more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 2,591). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and maid open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, maid: MIT). ### Where can I find alternatives to anything-llm or maid? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [maid alternatives](/tools/mobile-artificial-intelligence-maid/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [maid markdown twin](/tools/mobile-artificial-intelligence-maid/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-mobile-artificial-intelligence-maid.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or maid? anything-llm: Very active. maid: 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 maid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [maid trust report](/tools/mobile-artificial-intelligence-maid/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/_