--- title: "anything-llm vs mcpproxy-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-smart-mcp-proxy-mcpproxy-go" tools: ["mintplex-labs-anything-llm", "smart-mcp-proxy-mcpproxy-go"] --- # anything-llm vs mcpproxy-go *GraphCanon updated Sep 20, 2026* ## Verdict Pick anything-llm if 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; pick mcpproxy-go if mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [mcpproxy-go](https://mcpproxy.app) has 375 stars, 50 forks, and 25 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Supercharge AI Agents, Safely | | Stars | 66,167 | 375 | | Forks | 7,349 | 50 | | Open issues | 315 | 25 | | Language | JavaScript | Go | | 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. | mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | mcpproxy-go is distributed under the MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Developer Tools, Inference & Serving | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Open issues (now) | 315 | 25 | | Stars delta | +1.5k (30d) | +70 (30d) | | Open issues delta | -4 (30d) | +10 (30d) | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) | ## 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. ## Decision facts: mcpproxy-go - **Pricing:** freemium - mcpproxy-go is free and open-source, but additional services or support might be available for a fee. - **Requirements:** Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS. - **Adopt for:** mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI. - **License detail:** mcpproxy-go is distributed under the MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; mcpproxy-go is Go. - 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 Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose mcpproxy-go if… - mcpproxy-go is primarily Go; anything-llm is JavaScript. - Pricing: mcpproxy-go is free and open-source, but additional services or support might be available for a fee.. - Requirements: Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS.. - Tags unique to mcpproxy-go: audit-logging, llm-tools, local-first, proxy-server. - mcpproxy-go ships Docker support for self-hosted deployment. - Use mcpproxy-go when you need a proxy server that supports audit logging and tool routing specifically for AI agents, as it is designed with these functionalities in mind. ## 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. ## When NOT to use mcpproxy-go - Avoid mcpproxy-go if your project requires a proxy server that supports a wide range of languages beyond Go, as it is specifically built for Go environments. - Do not use mcpproxy-go if you need a proxy server that does not have a local-first deployment model, as it prioritizes local management and security over cloud-based solutions. ## Common questions ### What is the difference between anything-llm and mcpproxy-go? anything-llm: Self-hosted AI agent experience. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over mcpproxy-go? Choose anything-llm over mcpproxy-go when anything-llm is primarily JavaScript; mcpproxy-go is Go; 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 Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose mcpproxy-go over anything-llm? Choose mcpproxy-go over anything-llm when mcpproxy-go is primarily Go; anything-llm is JavaScript; Pricing: mcpproxy-go is free and open-source, but additional services or support might be available for a fee.; Requirements: Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS.; Tags unique to mcpproxy-go: audit-logging, llm-tools, local-first, proxy-server; mcpproxy-go ships Docker support for self-hosted deployment; Use mcpproxy-go when you need a proxy server that supports audit logging and tool routing specifically for AI agents, as it is designed with these functionalities in mind. ### 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. ### When should I avoid mcpproxy-go? Avoid mcpproxy-go if your project requires a proxy server that supports a wide range of languages beyond Go, as it is specifically built for Go environments. Do not use mcpproxy-go if you need a proxy server that does not have a local-first deployment model, as it prioritizes local management and security over cloud-based solutions. ### Is anything-llm or mcpproxy-go more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 375). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and mcpproxy-go open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, mcpproxy-go: MIT). ### Where can I find alternatives to anything-llm or mcpproxy-go? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [mcpproxy-go markdown twin](/tools/smart-mcp-proxy-mcpproxy-go/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-smart-mcp-proxy-mcpproxy-go.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or mcpproxy-go? anything-llm: Very active. mcpproxy-go: 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 mcpproxy-go? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/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/_