--- title: "XAgent vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openbmb-xagent-vs-significant-gravitas-autogpt" tools: ["openbmb-xagent", "significant-gravitas-autogpt"] --- # XAgent vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick XAgent when license: XAgent is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, XAgent is Apache-2.0. [XAgent](https://blog.x-agent.net/blog/xagent/) reports 8.5k GitHub stars, 902 forks, and 64 open issues, last pushed Aug 12, 2024. [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 [XAgent's repository](https://github.com/OpenBMB/XAgent) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [XAgent](/tools/openbmb-xagent.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | An Autonomous LLM Agent for Complex Task Solving | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 8,522 | 185,464 | | Forks | 902 | 46,111 | | Open issues | 64 | 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 | Apache-2.0 | Other | | Categories | AI Agents, LLM Frameworks, Vector Databases | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [XAgent](/tools/openbmb-xagent.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 698d | 0d | | Open issues (now) | 64 | 494 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/openbmb-xagent/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 XAgent if… - License: XAgent is Apache-2.0, AutoGPT is Other. - Tags unique to XAgent: python. - Also covers Vector Databases. - XAgent ships Docker support for self-hosted deployment. ### Choose AutoGPT if… - License: AutoGPT is Other, XAgent is Apache-2.0. - 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 XAgent - Last GitHub push was 699 days ago (dormant maintenance, Aug 12, 2024). Validate activity before betting a new project on XAgent. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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 XAgent and AutoGPT? XAgent: An Autonomous LLM Agent for Complex Task Solving. 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 XAgent over AutoGPT? Choose XAgent over AutoGPT when License: XAgent is Apache-2.0, AutoGPT is Other; Tags unique to XAgent: python; Also covers Vector Databases; XAgent ships Docker support for self-hosted deployment. ### When should I choose AutoGPT over XAgent? Choose AutoGPT over XAgent when License: AutoGPT is Other, XAgent is Apache-2.0; 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 XAgent? Last GitHub push was 699 days ago (dormant maintenance, Aug 12, 2024). Validate activity before betting a new project on XAgent. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 XAgent or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 8,522). Stars measure visibility, not whether either tool fits your constraints. ### Are XAgent and AutoGPT open source? Yes - both are open-source projects on GitHub (XAgent: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to XAgent or AutoGPT? GraphCanon lists graph-backed alternatives at [XAgent alternatives](/tools/openbmb-xagent/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([XAgent markdown twin](/tools/openbmb-xagent/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/openbmb-xagent-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, XAgent or AutoGPT? XAgent: 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 XAgent and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [XAgent trust report](/tools/openbmb-xagent/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openbmb-xagent`](/api/graphcanon/graph?tool=openbmb-xagent) - 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/_