---
title: "AutoGPT vs OpenSwarm"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/significant-gravitas-autogpt-vs-unohee-openswarm"
tools: ["significant-gravitas-autogpt", "unohee-openswarm"]
---

# AutoGPT vs OpenSwarm

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick AutoGPT if 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; pick OpenSwarm if autonomous AI team orchestrator integrating Discord and Linear; vector database for memory enhancement.

[AutoGPT](https://agpt.co) reports 185k GitHub stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. [OpenSwarm](https://github.com/unohee/OpenSwarm) has 817 stars, 141 forks, and 0 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT) and [OpenSwarm's repository](https://github.com/unohee/OpenSwarm).

| | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [OpenSwarm](/tools/unohee-openswarm.md) |
| --- | --- | --- |
| Tagline | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | Autonomous AI dev team orchestrator powered by Claude Code CLI. |
| Stars | 185,464 | 817 |
| Forks | 46,111 | 141 |
| Open issues | 494 | 0 |
| Language | Python | TypeScript |
| 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. | Autonomous AI team orchestrator integrating Discord and Linear; vector database for memory enhancement. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT |
| Categories | LLM Frameworks, AI Agents | AI Agents, Vector Databases |

## Trust and health

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

| | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [OpenSwarm](/tools/unohee-openswarm.md) |
| --- | --- | --- |
| Open issues (now) | 494 | 0 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/significant-gravitas-autogpt/trust.md) | [trust report](/tools/unohee-openswarm/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.

## Decision facts: OpenSwarm

- **Adopt for:** Autonomous AI team orchestrator integrating Discord and Linear; vector database for memory enhancement.

## Choose when

### Choose AutoGPT if…

- AutoGPT is primarily Python; OpenSwarm is TypeScript.
- License: AutoGPT is Other, OpenSwarm is MIT.
- Tags unique to AutoGPT: agents, llm, 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.

### Choose OpenSwarm if…

- OpenSwarm is primarily TypeScript; AutoGPT is Python.
- License: OpenSwarm is MIT, AutoGPT is Other.
- Tags unique to OpenSwarm: multi-agent, linear, discord-bot, claude-code.
- Also covers Vector Databases.
- OpenSwarm ships Docker support for self-hosted deployment.
- OpenSwarm ships an MCP server manifest.
- When you need an autonomous tool that leverages Claude Code CLI to organize your development tasks.

## 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.

## When NOT to use OpenSwarm

- Avoid if you are not currently utilizing Discord and Linear within your workflow since the integrations might not provide value without these tools.
- Do not use if cognitive memory via vector databases is unnecessary or unpreferred for task management in development teams.

## Common questions

### What is the difference between AutoGPT and OpenSwarm?

AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. OpenSwarm: Autonomous AI dev team orchestrator powered by Claude Code CLI.. See the comparison table for live GitHub stats and shared categories.

### When should I choose AutoGPT over OpenSwarm?

Choose AutoGPT over OpenSwarm when AutoGPT is primarily Python; OpenSwarm is TypeScript; License: AutoGPT is Other, OpenSwarm is MIT; Tags unique to AutoGPT: agents, llm, 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 choose OpenSwarm over AutoGPT?

Choose OpenSwarm over AutoGPT when OpenSwarm is primarily TypeScript; AutoGPT is Python; License: OpenSwarm is MIT, AutoGPT is Other; Tags unique to OpenSwarm: multi-agent, linear, discord-bot, claude-code; Also covers Vector Databases; OpenSwarm ships Docker support for self-hosted deployment; OpenSwarm ships an MCP server manifest; When you need an autonomous tool that leverages Claude Code CLI to organize your development tasks.

### 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.

### When should I avoid OpenSwarm?

Avoid if you are not currently utilizing Discord and Linear within your workflow since the integrations might not provide value without these tools. Do not use if cognitive memory via vector databases is unnecessary or unpreferred for task management in development teams.

### Is AutoGPT or OpenSwarm more popular on GitHub?

AutoGPT has more GitHub stars (185,464 vs 817). Stars measure visibility, not whether either tool fits your constraints.

### Are AutoGPT and OpenSwarm open source?

Yes - both are open-source projects on GitHub (AutoGPT: Other, OpenSwarm: MIT).

### Where can I find alternatives to AutoGPT or OpenSwarm?

GraphCanon lists graph-backed alternatives at [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) and [OpenSwarm alternatives](/tools/unohee-openswarm/alternatives) ([AutoGPT markdown twin](/tools/significant-gravitas-autogpt/alternatives.md), [OpenSwarm markdown twin](/tools/unohee-openswarm/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/significant-gravitas-autogpt-vs-unohee-openswarm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AutoGPT or OpenSwarm?

AutoGPT: Very active. OpenSwarm: 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 AutoGPT and OpenSwarm?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=significant-gravitas-autogpt`](/api/graphcanon/graph?tool=significant-gravitas-autogpt)
- 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/_
