Comparison
AutoGPT vs mcpproxy-go
Verdict
Pick AutoGPT when autoGPT is primarily Python; mcpproxy-go is Go; pick mcpproxy-go when mcpproxy-go is primarily Go; AutoGPT is Python.
Markdown twin · AutoGPT alternatives · mcpproxy-go alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | mcpproxy-go |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- mcpproxy-go
- Supercharge AI Agents, Safely
Stars
- AutoGPT
- 185k
- mcpproxy-go
- 285
Forks
- AutoGPT
- 46k
- mcpproxy-go
- 36
Open issues
- AutoGPT
- 494
- mcpproxy-go
- 14
Language
- AutoGPT
- Python
- mcpproxy-go
- Go
Adopt for
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
- mcpproxy-go
- -
Persona
- AutoGPT
- -
- mcpproxy-go
- -
Runtime
- AutoGPT
- -
- mcpproxy-go
- -
License
- AutoGPT
- Other
- mcpproxy-go
- MIT
Last pushed
- AutoGPT
- Jul 11, 2026
- mcpproxy-go
- Jul 11, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- mcpproxy-go
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Open issues (now)
- AutoGPT
- 494
- mcpproxy-go
- 14
Security scan
- AutoGPT
- No lockfile
- mcpproxy-go
- No criticals
Full report
- AutoGPT
- Trust report
- mcpproxy-go
- Trust report
Choose AutoGPT if…
- AutoGPT is primarily Python; mcpproxy-go is Go.
- License: AutoGPT is Other, mcpproxy-go is MIT.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Choose mcpproxy-go if…
- mcpproxy-go is primarily Go; AutoGPT is Python.
- License: mcpproxy-go is MIT, AutoGPT is Other.
- Tags unique to mcpproxy-go: ai-agents, audit-logging, bm25, cli.
- Also covers Developer Tools.
- mcpproxy-go ships Docker support for self-hosted deployment.
When NOT to use mcpproxy-go
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- GitHub forks (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- Last push (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoGPT 185k · mcpproxy-go 285 (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and mcpproxy-go?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over mcpproxy-go?
- Choose AutoGPT over mcpproxy-go when AutoGPT is primarily Python; mcpproxy-go is Go; License: AutoGPT is Other, mcpproxy-go is MIT; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose mcpproxy-go over AutoGPT?
- Choose mcpproxy-go over AutoGPT when mcpproxy-go is primarily Go; AutoGPT is Python; License: mcpproxy-go is MIT, AutoGPT is Other; Tags unique to mcpproxy-go: ai-agents, audit-logging, bm25, cli; Also covers Developer Tools; mcpproxy-go ships Docker support for self-hosted deployment.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- When should I avoid mcpproxy-go?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is AutoGPT or mcpproxy-go more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 285). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and mcpproxy-go open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, mcpproxy-go: MIT).
- Where can I find alternatives to AutoGPT or mcpproxy-go?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and mcpproxy-go alternatives (AutoGPT 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, AutoGPT or mcpproxy-go?
- AutoGPT: 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 AutoGPT and mcpproxy-go?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; mcpproxy-go trust report.