--- title: "BELLE vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lianjiatech-belle-vs-significant-gravitas-autogpt" tools: ["lianjiatech-belle", "significant-gravitas-autogpt"] --- # BELLE vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick BELLE when bELLE is primarily HTML; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; BELLE is HTML. [BELLE](https://github.com/LianjiaTech/BELLE) reports 8.3k GitHub stars, 760 forks, and 106 open issues, last pushed Oct 16, 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 [BELLE's repository](https://github.com/LianjiaTech/BELLE) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [BELLE](/tools/lianjiatech-belle.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型） | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 8,274 | 185,464 | | Forks | 760 | 46,111 | | Open issues | 106 | 494 | | Language | HTML | 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, Model Training | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BELLE](/tools/lianjiatech-belle.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 633d | 0d | | Open issues (now) | 106 | 494 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/lianjiatech-belle/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 BELLE if… - BELLE is primarily HTML; AutoGPT is Python. - License: BELLE is Apache-2.0, AutoGPT is Other. - Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q. - Also covers Model Training. ### Choose AutoGPT if… - AutoGPT is primarily Python; BELLE is HTML. - License: AutoGPT is Other, BELLE 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 BELLE - Last GitHub push was 633 days ago (dormant maintenance, Oct 16, 2024). Validate activity before betting a new project on BELLE. - 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. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## 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 BELLE and AutoGPT? BELLE: BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）. 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 BELLE over AutoGPT? Choose BELLE over AutoGPT when BELLE is primarily HTML; AutoGPT is Python; License: BELLE is Apache-2.0, AutoGPT is Other; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Model Training. ### When should I choose AutoGPT over BELLE? Choose AutoGPT over BELLE when AutoGPT is primarily Python; BELLE is HTML; License: AutoGPT is Other, BELLE 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 BELLE? Last GitHub push was 633 days ago (dormant maintenance, Oct 16, 2024). Validate activity before betting a new project on BELLE. 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### 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 BELLE or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 8,274). Stars measure visibility, not whether either tool fits your constraints. ### Are BELLE and AutoGPT open source? Yes - both are open-source projects on GitHub (BELLE: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to BELLE or AutoGPT? GraphCanon lists graph-backed alternatives at [BELLE alternatives](/tools/lianjiatech-belle/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([BELLE markdown twin](/tools/lianjiatech-belle/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/lianjiatech-belle-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, BELLE or AutoGPT? BELLE: 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 BELLE and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BELLE trust report](/tools/lianjiatech-belle/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lianjiatech-belle`](/api/graphcanon/graph?tool=lianjiatech-belle) - 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/_