--- title: "promptguard vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mturac-promptguard-vs-significant-gravitas-autogpt" tools: ["mturac-promptguard", "significant-gravitas-autogpt"] --- # promptguard vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick promptguard when license: promptguard is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, promptguard is MIT. [promptguard](https://github.com/mturac/promptguard) reports 82 GitHub stars, 0 forks, and 0 open issues, last pushed May 17, 2026. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [promptguard's repository](https://github.com/mturac/promptguard) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [promptguard](/tools/mturac-promptguard.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Audits prompts as behavioral contracts. Pre-write guard for agents that ship code. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 82 | 185,464 | | Forks | 0 | 46,111 | | Open issues | 0 | 494 | | Language | Python | Python | | Adopt for | - | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [promptguard](/tools/mturac-promptguard.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 59d | 0d | | Open issues (now) | 0 | 494 | | Owner type | User | Organization | | Full report | [trust report](/tools/mturac-promptguard/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** 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. ## Choose when ### Choose promptguard if… - License: promptguard is MIT, AutoGPT is Other. - Tags unique to promptguard: ai-agents, audit, claude code, codex. - Also covers Developer Tools. ### Choose AutoGPT if… - License: AutoGPT is Other, promptguard is MIT. - Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use promptguard - 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. ## 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. ## Common questions ### What is the difference between promptguard and AutoGPT? promptguard: Audits prompts as behavioral contracts. Pre-write guard for agents that ship code.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories. ### When should I choose promptguard over AutoGPT? Choose promptguard over AutoGPT when License: promptguard is MIT, AutoGPT is Other; Tags unique to promptguard: ai-agents, audit, claude code, codex; Also covers Developer Tools. ### When should I choose AutoGPT over promptguard? Choose AutoGPT over promptguard when License: AutoGPT is Other, promptguard is MIT; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid promptguard? 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. ### 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. ### Is promptguard or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 82). Stars measure visibility, not whether either tool fits your constraints. ### Are promptguard and AutoGPT open source? Yes - both are open-source projects on GitHub (promptguard: MIT, AutoGPT: Other). ### Where can I find alternatives to promptguard or AutoGPT? GraphCanon lists graph-backed alternatives at [promptguard alternatives](/tools/mturac-promptguard/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([promptguard markdown twin](/tools/mturac-promptguard/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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/mturac-promptguard-vs-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, promptguard or AutoGPT? promptguard: Steady. AutoGPT: 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 promptguard and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [promptguard trust report](/tools/mturac-promptguard/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mturac-promptguard`](/api/graphcanon/graph?tool=mturac-promptguard) - 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/_