--- title: "evolver vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evomap-evolver-vs-significant-gravitas-autogpt" tools: ["evomap-evolver", "significant-gravitas-autogpt"] --- # evolver vs AutoGPT *GraphCanon updated Jul 12, 2026* ## Verdict Pick evolver when evolver is primarily JavaScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; evolver is JavaScript. [evolver](https://evomap.ai) reports 8.9k GitHub stars, 819 forks, and 3 open issues, last pushed Jul 9, 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 [evolver's repository](https://github.com/EvoMap/evolver) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [evolver](/tools/evomap-evolver.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | GEP-powered self-evolving engine for AI agents | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 8,884 | 185,464 | | Forks | 819 | 46,111 | | Open issues | 3 | 494 | | Language | JavaScript | 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 | GPL-3.0 | Other | | Categories | AI Agents, Evaluation & Observability | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [evolver](/tools/evomap-evolver.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3 | 494 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/evomap-evolver/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 evolver if… - evolver is primarily JavaScript; AutoGPT is Python. - License: evolver is GPL-3.0, AutoGPT is Other. - Tags unique to evolver: a2a, agent-evolution, auditable-ai, autonomous-agent. - Also covers Evaluation & Observability. ### Choose AutoGPT if… - AutoGPT is primarily Python; evolver is JavaScript. - License: AutoGPT is Other, evolver is GPL-3.0. - Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence. - Also covers LLM Frameworks. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use evolver - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 evolver and AutoGPT? evolver: GEP-powered self-evolving engine for AI agents. 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 evolver over AutoGPT? Choose evolver over AutoGPT when evolver is primarily JavaScript; AutoGPT is Python; License: evolver is GPL-3.0, AutoGPT is Other; Tags unique to evolver: a2a, agent-evolution, auditable-ai, autonomous-agent; Also covers Evaluation & Observability. ### When should I choose AutoGPT over evolver? Choose AutoGPT over evolver when AutoGPT is primarily Python; evolver is JavaScript; License: AutoGPT is Other, evolver is GPL-3.0; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid evolver? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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 evolver or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 8,884). Stars measure visibility, not whether either tool fits your constraints. ### Are evolver and AutoGPT open source? Yes - both are open-source projects on GitHub (evolver: GPL-3.0, AutoGPT: Other). ### Where can I find alternatives to evolver or AutoGPT? GraphCanon lists graph-backed alternatives at [evolver alternatives](/tools/evomap-evolver/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([evolver markdown twin](/tools/evomap-evolver/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/evomap-evolver-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, evolver or AutoGPT? evolver: Very active. 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 evolver and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [evolver trust report](/tools/evomap-evolver/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evomap-evolver`](/api/graphcanon/graph?tool=evomap-evolver) - 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/_