---
title: "agor vs AutoGPT"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/preset-io-agor-vs-significant-gravitas-autogpt"
tools: ["preset-io-agor", "significant-gravitas-autogpt"]
---

# agor vs AutoGPT

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick agor if agor is a team-centric development platform built for orchestrating AI agents in coding and collaboration tasks; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.

[agor](https://agor.live) reports 1.4k GitHub stars, 121 forks, and 219 open issues, last pushed Sep 19, 2026. [AutoGPT](https://agpt.co) has 187k stars, 46k forks, and 593 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agor's repository](https://github.com/preset-io/agor) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT).

| | [agor](/tools/preset-io-agor.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Tagline | team command center for all things agentic | Accessible AI for everyone, providing tools for focus on what matters |
| Stars | 1,406 | 187,424 |
| Forks | 121 | 46,006 |
| Open issues | 219 | 593 |
| Language | TypeScript | Python |
| Adopt for | Agor is a team-centric development platform built for orchestrating AI agents in coding and collaboration tasks. | AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [agor](/tools/preset-io-agor.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Open issues (now) | 219 | 593 |
| Stars delta | +47 (30d) | +801 (30d) |
| Open issues delta | -35 (30d) | +76 (30d) |
| Full report | [trust report](/tools/preset-io-agor/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) |

## Decision facts: agor

- **Adopt for:** Agor is a team-centric development platform built for orchestrating AI agents in coding and collaboration tasks.

## Decision facts: AutoGPT

- **Adopt for:** AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
- **License detail:** AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all

## Choose when

### Choose agor if…

- agor is primarily TypeScript; AutoGPT is Python.
- Tags unique to agor: agent-orchestration, agentic, ai-coding, coding-assistant.
- agor ships Docker support for self-hosted deployment.
- Use Agor if your project requires real-time collaboration and orchestration of multiple AI agents such as Codex and Claude.

### Choose AutoGPT if…

- AutoGPT is primarily Python; agor is TypeScript.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.

## When NOT to use agor

- Avoid using Agor if your team is not adept at managing AI-driven development workflows and does not require real-time collaboration on a codebase.
- Do not opt for Agor when you need standalone coding assistance without the team-centric approach or agent orchestration capabilities.

## When NOT to use AutoGPT

- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.

## Common questions

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

agor: team command center for all things agentic. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. See the comparison table for live GitHub stats and shared categories.

### When should I choose agor over AutoGPT?

Choose agor over AutoGPT when agor is primarily TypeScript; AutoGPT is Python; Tags unique to agor: agent-orchestration, agentic, ai-coding, coding-assistant; agor ships Docker support for self-hosted deployment; Use Agor if your project requires real-time collaboration and orchestration of multiple AI agents such as Codex and Claude.

### When should I choose AutoGPT over agor?

Choose AutoGPT over agor when AutoGPT is primarily Python; agor is TypeScript; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.

### When should I avoid agor?

Avoid using Agor if your team is not adept at managing AI-driven development workflows and does not require real-time collaboration on a codebase. Do not opt for Agor when you need standalone coding assistance without the team-centric approach or agent orchestration capabilities.

### When should I avoid AutoGPT?

If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.

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

AutoGPT has more GitHub stars (187,424 vs 1,406). Stars measure visibility, not whether either tool fits your constraints.

### Are agor and AutoGPT open source?

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

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

GraphCanon lists graph-backed alternatives at [agor alternatives](/tools/preset-io-agor/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([agor markdown twin](/tools/preset-io-agor/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/preset-io-agor-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, agor or AutoGPT?

agor: 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 agor and AutoGPT?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=preset-io-agor`](/api/graphcanon/graph?tool=preset-io-agor)
- 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/_
