--- title: "magic vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dtyq-magic-vs-significant-gravitas-autogpt" tools: ["dtyq-magic", "significant-gravitas-autogpt"] --- # magic vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick magic when magic is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; magic is TypeScript. [magic](https://www.magicrew.ai/) reports 4.9k GitHub stars, 539 forks, and 10 open issues, last pushed Jun 11, 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 [magic's repository](https://github.com/dtyq/magic) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [magic](/tools/dtyq-magic.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system) | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 4,926 | 185,464 | | Forks | 539 | 46,111 | | Open issues | 10 | 494 | | Language | TypeScript | 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 | Other | Other | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [magic](/tools/dtyq-magic.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 34d | 0d | | Open issues (now) | 10 | 494 | | Full report | [trust report](/tools/dtyq-magic/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 magic if… - magic is primarily TypeScript; AutoGPT is Python. - Tags unique to magic: agent, agi, low-code, mcp. - Also covers Inference & Serving. ### Choose AutoGPT if… - AutoGPT is primarily Python; magic is TypeScript. - 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 magic - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - 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 magic and AutoGPT? magic: Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system). 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 magic over AutoGPT? Choose magic over AutoGPT when magic is primarily TypeScript; AutoGPT is Python; Tags unique to magic: agent, agi, low-code, mcp; Also covers Inference & Serving. ### When should I choose AutoGPT over magic? Choose AutoGPT over magic when AutoGPT is primarily Python; magic is TypeScript; 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 avoid magic? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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 magic or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 4,926). Stars measure visibility, not whether either tool fits your constraints. ### Are magic and AutoGPT open source? Yes - both are open-source projects on GitHub (magic: Other, AutoGPT: Other). ### Where can I find alternatives to magic or AutoGPT? GraphCanon lists graph-backed alternatives at [magic alternatives](/tools/dtyq-magic/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([magic markdown twin](/tools/dtyq-magic/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/dtyq-magic-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, magic or AutoGPT? magic: 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 magic and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [magic trust report](/tools/dtyq-magic/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dtyq-magic`](/api/graphcanon/graph?tool=dtyq-magic) - 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/_