--- title: "examor vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/codeacme17-examor-vs-significant-gravitas-autogpt" tools: ["codeacme17-examor", "significant-gravitas-autogpt"] --- # examor vs AutoGPT *GraphCanon updated Jul 12, 2026* ## Verdict Pick examor when examor is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; examor is TypeScript. [examor](https://github.com/codeacme17/examor) reports 1.1k GitHub stars, 64 forks, and 2 open issues, last pushed Jun 18, 2025. [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 [examor's repository](https://github.com/codeacme17/examor) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [examor](/tools/codeacme17-examor.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓 | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,068 | 185,464 | | Forks | 64 | 46,111 | | Open issues | 2 | 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 | AGPL-3.0 | Other | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [examor](/tools/codeacme17-examor.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 388d | 0d | | Open issues (now) | 2 | 494 | | Owner type | User | Organization | | Full report | [trust report](/tools/codeacme17-examor/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 examor if… - examor is primarily TypeScript; AutoGPT is Python. - License: examor is AGPL-3.0, AutoGPT is Other. - Tags unique to examor: azure, claude2, ebbinghaus-memory, gpt-4. ### Choose AutoGPT if… - AutoGPT is primarily Python; examor is TypeScript. - License: AutoGPT is Other, examor is AGPL-3.0. - Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence. - Also covers AI Agents. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use examor - Last GitHub push was 389 days ago (dormant maintenance, Jun 18, 2025). Validate activity before betting a new project on examor. - 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 examor and AutoGPT? examor: For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓. 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 examor over AutoGPT? Choose examor over AutoGPT when examor is primarily TypeScript; AutoGPT is Python; License: examor is AGPL-3.0, AutoGPT is Other; Tags unique to examor: azure, claude2, ebbinghaus-memory, gpt-4. ### When should I choose AutoGPT over examor? Choose AutoGPT over examor when AutoGPT is primarily Python; examor is TypeScript; License: AutoGPT is Other, examor is AGPL-3.0; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid examor? Last GitHub push was 389 days ago (dormant maintenance, Jun 18, 2025). Validate activity before betting a new project on examor. 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 examor or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,068). Stars measure visibility, not whether either tool fits your constraints. ### Are examor and AutoGPT open source? Yes - both are open-source projects on GitHub (examor: AGPL-3.0, AutoGPT: Other). ### Where can I find alternatives to examor or AutoGPT? GraphCanon lists graph-backed alternatives at [examor alternatives](/tools/codeacme17-examor/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([examor markdown twin](/tools/codeacme17-examor/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/codeacme17-examor-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, examor or AutoGPT? examor: Dormant. 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 examor and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [examor trust report](/tools/codeacme17-examor/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=codeacme17-examor`](/api/graphcanon/graph?tool=codeacme17-examor) - 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/_