---
title: "tree-of-thoughts vs AutoGPT"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/kyegomez-tree-of-thoughts-vs-significant-gravitas-autogpt"
tools: ["kyegomez-tree-of-thoughts", "significant-gravitas-autogpt"]
---

# tree-of-thoughts vs AutoGPT

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick tree-of-thoughts when license: tree-of-thoughts is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, tree-of-thoughts is Apache-2.0.

[tree-of-thoughts](https://discord.gg/qUtxnK2NMf) reports 4.6k GitHub stars, 374 forks, and 21 open issues, last pushed Jul 29, 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 [tree-of-thoughts's repository](https://github.com/kyegomez/tree-of-thoughts) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT).

| | [tree-of-thoughts](/tools/kyegomez-tree-of-thoughts.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Tagline | Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70% | AutoGPT is the vision of accessible AI for everyone, to use and to build on. |
| Stars | 4,588 | 185,464 |
| Forks | 374 | 46,111 |
| Open issues | 21 | 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 | LLM Frameworks | AI Agents, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [tree-of-thoughts](/tools/kyegomez-tree-of-thoughts.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 347d | 0d |
| Open issues (now) | 21 | 494 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/kyegomez-tree-of-thoughts/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 tree-of-thoughts if…

- License: tree-of-thoughts is Apache-2.0, AutoGPT is Other.
- Tags unique to tree-of-thoughts: chatgpt, deep-learning, gpt4, multimodal.
- Leaner open-issue backlog (21).

### Choose AutoGPT if…

- License: AutoGPT is Other, tree-of-thoughts is Apache-2.0.
- Tags unique to AutoGPT: agentic-ai, agents, ai, autonomous-agents.
- 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 tree-of-thoughts

- Last GitHub push was 348 days ago (slowing maintenance, Jul 29, 2025). Validate activity before betting a new project on tree-of-thoughts.
- 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 tree-of-thoughts and AutoGPT?

tree-of-thoughts: Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%. 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 tree-of-thoughts over AutoGPT?

Choose tree-of-thoughts over AutoGPT when License: tree-of-thoughts is Apache-2.0, AutoGPT is Other; Tags unique to tree-of-thoughts: chatgpt, deep-learning, gpt4, multimodal; Leaner open-issue backlog (21).

### When should I choose AutoGPT over tree-of-thoughts?

Choose AutoGPT over tree-of-thoughts when License: AutoGPT is Other, tree-of-thoughts is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, ai, autonomous-agents; 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 tree-of-thoughts?

Last GitHub push was 348 days ago (slowing maintenance, Jul 29, 2025). Validate activity before betting a new project on tree-of-thoughts. 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 tree-of-thoughts or AutoGPT more popular on GitHub?

AutoGPT has more GitHub stars (185,464 vs 4,588). Stars measure visibility, not whether either tool fits your constraints.

### Are tree-of-thoughts and AutoGPT open source?

Yes - both are open-source projects on GitHub (tree-of-thoughts: Apache-2.0, AutoGPT: Other).

### Where can I find alternatives to tree-of-thoughts or AutoGPT?

GraphCanon lists graph-backed alternatives at [tree-of-thoughts alternatives](/tools/kyegomez-tree-of-thoughts/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([tree-of-thoughts markdown twin](/tools/kyegomez-tree-of-thoughts/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/kyegomez-tree-of-thoughts-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, tree-of-thoughts or AutoGPT?

tree-of-thoughts: Slowing. 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 tree-of-thoughts and AutoGPT?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tree-of-thoughts trust report](/tools/kyegomez-tree-of-thoughts/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=kyegomez-tree-of-thoughts`](/api/graphcanon/graph?tool=kyegomez-tree-of-thoughts)
- 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/_