--- title: "mcpproxy-go vs Athena-Public" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/smart-mcp-proxy-mcpproxy-go-vs-winstonkoh87-athena-public" tools: ["smart-mcp-proxy-mcpproxy-go", "winstonkoh87-athena-public"] --- # mcpproxy-go vs Athena-Public *GraphCanon updated Aug 23, 2026* ## Verdict Pick mcpproxy-go if mcpproxy-go is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI; pick Athena-Public if persistent memory & governed autonomy for AI Agents, built in Python. [mcpproxy-go](https://mcpproxy.app) reports 305 GitHub stars, 43 forks, and 15 open issues, last pushed Aug 2, 2026. [Athena-Public](https://winstonkoh87.com/athena/) has 584 stars, 77 forks, and 0 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go) and [Athena-Public's repository](https://github.com/winstonkoh87/Athena-Public). | | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Tagline | Supercharge AI Agents, Safely | The Linux OS for AI Agents | | Stars | 305 | 584 | | Forks | 43 | 77 | | Open issues | 15 | 0 | | Language | Go | Python | | Adopt for | mcpproxy-go is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI. | Persistent memory & governed autonomy for AI Agents, built in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Open issues (now) | 15 | 0 | | Stars delta | Unknown | +41 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) | [trust report](/tools/winstonkoh87-athena-public/trust.md) | ## Decision facts: mcpproxy-go - **Pricing:** freemium - mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs. - **Requirements:** Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use. - **Adopt for:** mcpproxy-go is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI. ## Decision facts: Athena-Public - **Adopt for:** Persistent memory & governed autonomy for AI Agents, built in Python. ## Choose when ### Choose mcpproxy-go if… - mcpproxy-go is primarily Go; Athena-Public is Python. - Pricing: mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs.. - Requirements: Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use.. - Tags unique to mcpproxy-go: audit-logging, context-window, local-first, model-context-protocol. - mcpproxy-go ships Docker support for self-hosted deployment. - When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP. ### Choose Athena-Public if… - Athena-Public is primarily Python; mcpproxy-go is Go. - Tags unique to Athena-Public: ai-agents, chatgpt, framework, google-antigravity. - When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. ## When NOT to use mcpproxy-go - When a simpler proxy solution that does not offer specialized AI-focused tools like MCP or advanced logging is sufficient. - If your project is strictly frontend and does not require backend server enhancement features such as those provided by mcpproxy-go's tool-routing capabilities. ## When NOT to use Athena-Public - If your project requires a platform with extensive pre-built integrations beyond mere memory management for LLMs, Athena-Public may not offer sufficient out-of-the-box integration support. ## Common questions ### What is the difference between mcpproxy-go and Athena-Public? mcpproxy-go: Supercharge AI Agents, Safely. Athena-Public: The Linux OS for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose mcpproxy-go over Athena-Public? Choose mcpproxy-go over Athena-Public when mcpproxy-go is primarily Go; Athena-Public is Python; Pricing: mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs.; Requirements: Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use.; Tags unique to mcpproxy-go: audit-logging, context-window, local-first, model-context-protocol; mcpproxy-go ships Docker support for self-hosted deployment; When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP. ### When should I choose Athena-Public over mcpproxy-go? Choose Athena-Public over mcpproxy-go when Athena-Public is primarily Python; mcpproxy-go is Go; Tags unique to Athena-Public: ai-agents, chatgpt, framework, google-antigravity; When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. ### When should I avoid mcpproxy-go? When a simpler proxy solution that does not offer specialized AI-focused tools like MCP or advanced logging is sufficient. If your project is strictly frontend and does not require backend server enhancement features such as those provided by mcpproxy-go's tool-routing capabilities. ### When should I avoid Athena-Public? If your project requires a platform with extensive pre-built integrations beyond mere memory management for LLMs, Athena-Public may not offer sufficient out-of-the-box integration support. ### Is mcpproxy-go or Athena-Public more popular on GitHub? Athena-Public has more GitHub stars (584 vs 305). Stars measure visibility, not whether either tool fits your constraints. ### Are mcpproxy-go and Athena-Public open source? Yes - both are open-source projects on GitHub (mcpproxy-go: MIT, Athena-Public: MIT). ### Where can I find alternatives to mcpproxy-go or Athena-Public? GraphCanon lists graph-backed alternatives at [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) and [Athena-Public alternatives](/tools/winstonkoh87-athena-public/alternatives) ([mcpproxy-go markdown twin](/tools/smart-mcp-proxy-mcpproxy-go/alternatives.md), [Athena-Public markdown twin](/tools/winstonkoh87-athena-public/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/smart-mcp-proxy-mcpproxy-go-vs-winstonkoh87-athena-public.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mcpproxy-go or Athena-Public? mcpproxy-go: Very active. Athena-Public: 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 mcpproxy-go and Athena-Public? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust); [Athena-Public trust report](/tools/winstonkoh87-athena-public/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=smart-mcp-proxy-mcpproxy-go`](/api/graphcanon/graph?tool=smart-mcp-proxy-mcpproxy-go) - 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/_