anything-llm vs mcpproxy-go

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 and mcpproxy-go alternatives (anything-llm markdown twin, mcpproxy-go markdown twin), 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 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; mcpproxy-go trust report.