--- title: "witsy vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kochava-studios-witsy-vs-mintplex-labs-anything-llm" tools: ["kochava-studios-witsy", "mintplex-labs-anything-llm"] --- # witsy vs anything-llm *GraphCanon updated Sep 20, 2026* ## Verdict Pick witsy if witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also supports local model running through Ollama; pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making. [witsy](https://github.com/Kochava-Studios/witsy) reports 2.0k GitHub stars, 171 forks, and 60 open issues, last pushed Apr 23, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [witsy's repository](https://github.com/Kochava-Studios/witsy) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [witsy](/tools/kochava-studios-witsy.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Desktop AI Assistant and Universal MCP Client | Self-hosted AI agent experience | | Stars | 2,026 | 66,167 | | Forks | 171 | 7,349 | | Open issues | 60 | 315 | | Language | TypeScript | JavaScript | | Adopt for | Witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also supports local model running through Ollama. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Inference & Serving | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [witsy](/tools/kochava-studios-witsy.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 149d | 0d | | Open issues (now) | 60 | 315 | | Stars delta | +10 (30d) | +1.5k (30d) | | Open issues delta | +5 (30d) | -4 (30d) | | Full report | [trust report](/tools/kochava-studios-witsy/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: witsy - **Adopt for:** Witsy is a desktop AI assistant and universal MCP client that supports numerous LLM providers. It requires users to have API keys for models they wish to use, but also supports local model running through Ollama. ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose witsy if… - witsy is primarily TypeScript; anything-llm is JavaScript. - License: witsy is AGPL-3.0, anything-llm is MIT. - Tags unique to witsy: anthropic, deepseek, electronjs, gemini. - witsy ships an MCP server manifest. - If you need an AI solution that can integrate with almost any LLM provider via MCP servers. ### Choose anything-llm if… - anything-llm is primarily JavaScript; witsy is TypeScript. - License: anything-llm is MIT, witsy is AGPL-3.0. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers Developer Tools. - When you need a local-first AI agent experience that you can fully control and customize. ## When NOT to use witsy - If you do not have existing API keys from LLM providers and are not interested in setting up a local model through Ollama. - For users who require an out-of-the-box solution that does not necessitate managing multiple provider integrations or configurations for different services. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between witsy and anything-llm? witsy: Desktop AI Assistant and Universal MCP Client. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose witsy over anything-llm? Choose witsy over anything-llm when witsy is primarily TypeScript; anything-llm is JavaScript; License: witsy is AGPL-3.0, anything-llm is MIT; Tags unique to witsy: anthropic, deepseek, electronjs, gemini; witsy ships an MCP server manifest; If you need an AI solution that can integrate with almost any LLM provider via MCP servers. ### When should I choose anything-llm over witsy? Choose anything-llm over witsy when anything-llm is primarily JavaScript; witsy is TypeScript; License: anything-llm is MIT, witsy is AGPL-3.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools; When you need a local-first AI agent experience that you can fully control and customize. ### When should I avoid witsy? If you do not have existing API keys from LLM providers and are not interested in setting up a local model through Ollama. For users who require an out-of-the-box solution that does not necessitate managing multiple provider integrations or configurations for different services. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is witsy or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 2,026). Stars measure visibility, not whether either tool fits your constraints. ### Are witsy and anything-llm open source? Yes - both are open-source projects on GitHub (witsy: AGPL-3.0, anything-llm: MIT). ### Where can I find alternatives to witsy or anything-llm? GraphCanon lists graph-backed alternatives at [witsy alternatives](/tools/kochava-studios-witsy/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([witsy markdown twin](/tools/kochava-studios-witsy/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/kochava-studios-witsy-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, witsy or anything-llm? witsy: Slowing. anything-llm: 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 witsy and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [witsy trust report](/tools/kochava-studios-witsy/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kochava-studios-witsy`](/api/graphcanon/graph?tool=kochava-studios-witsy) - 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/_