Home/Compare/trae-agent vs AutoGPT

Comparison

trae-agent vs AutoGPT

Verdict

Pick trae-agent if trae Agent is an AI-powered assistant designed to handle a variety of software engineering tasks through integration with different Large Language Models (LLMs), with Docker container support; 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.

Markdown twin · trae-agent alternatives · AutoGPT alternatives

GraphCanon updated 3d

trae-agent logo

trae-agent

bytedance/trae-agent

12kpushed Feb 5, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

187kpushed Aug 15, 2026

Trust & integrity

Signaltrae-agentAutoGPT
Maintenance
Slowing (164d since push)
As of 1mo · github_public_v1
Very active (0d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of 1mo · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

trae-agent
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

trae-agent
12k
AutoGPT
187k

Forks

trae-agent
1.3k
AutoGPT
46k

Open issues

trae-agent
143
AutoGPT
517

Language

trae-agent
Python
AutoGPT
Python

Adopt for

trae-agent
Trae Agent is an AI-powered assistant designed to handle a variety of software engineering tasks through integration with different Large Language Models (LLMs), with Docker container support.
AutoGPT
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

trae-agent
-
AutoGPT
-

Runtime

trae-agent
-
AutoGPT
-

License

trae-agent
MIT
AutoGPT
Other

Last pushed

trae-agent
Feb 5, 2026
AutoGPT
Aug 15, 2026

Categories

trae-agent
AI Agents, Developer Tools
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

trae-agent
Slowing (36%)
AutoGPT
Very active (96%)

Days since push

trae-agent
164d
AutoGPT
0d

Open issues (now)

trae-agent
143
AutoGPT
517

Stars delta

trae-agent
Unknown
AutoGPT
+1.0k (30d)

Open issues delta

trae-agent
Unknown
AutoGPT
+19 (30d)

Full report

trae-agent
Trust report

Typed relationship

trae-agent alternative AutoGPTTrae Agent is an alternative to AutoGPT, both focusing on building, deploying, and running AI agents for software engineering tasks. They share the goal but may have differing approaches and features.

Choose trae-agent if…

  • License: trae-agent is MIT, AutoGPT is Other.
  • Trae Agent is an alternative to AutoGPT, both focusing on building, deploying, and running AI agents for software engineering tasks. They share the goal but may have differing approaches and features.
  • Tags unique to trae-agent: agent, software-engineering.
  • Also covers Developer Tools.
  • When you need a versatile AI agent that can integrate with multiple LLM providers such as OpenAI, Anthropic, Google Gemini, and others for varied software engineering tasks.

When NOT to use trae-agent

  • If your workflow does not align with using Docker containers, since Trae Agent heavily relies on Docker for task execution.
  • In scenarios where you need a tool that offers more direct control over the LLM model parameters; Trae Agent provides integration flexibility but may require additional setup to specify these customiz

Choose AutoGPT if…

  • License: AutoGPT is Other, trae-agent is MIT.
  • Trae Agent is an alternative to AutoGPT, both focusing on building, deploying, and running AI agents for software engineering tasks. They share the goal but may have differing approaches and features.
  • Tags unique to AutoGPT: agentic-ai, agents, 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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: trae-agent 12k · AutoGPT 187k (synced Jul 19, 2026).

Common questions

What is the difference between trae-agent and AutoGPT?
trae-agent: Trae Agent is an LLM-based agent for general purpose software engineering tasks.. 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 trae-agent over AutoGPT?
Choose trae-agent over AutoGPT when License: trae-agent is MIT, AutoGPT is Other; Trae Agent is an alternative to AutoGPT, both focusing on building, deploying, and running AI agents for software engineering tasks. They share the goal but may have differing approaches and features; Tags unique to trae-agent: agent, software-engineering; Also covers Developer Tools; When you need a versatile AI agent that can integrate with multiple LLM providers such as OpenAI, Anthropic, Google Gemini, and others for varied software engineering tasks.
When should I choose AutoGPT over trae-agent?
Choose AutoGPT over trae-agent when License: AutoGPT is Other, trae-agent is MIT; Trae Agent is an alternative to AutoGPT, both focusing on building, deploying, and running AI agents for software engineering tasks. They share the goal but may have differing approaches and features; Tags unique to AutoGPT: agentic-ai, agents, 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 avoid trae-agent?
If your workflow does not align with using Docker containers, since Trae Agent heavily relies on Docker for task execution. In scenarios where you need a tool that offers more direct control over the LLM model parameters; Trae Agent provides integration flexibility but may require additional setup to specify these customiz
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 trae-agent or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (186,623 vs 11,859). Stars measure visibility, not whether either tool fits your constraints.
Are trae-agent and AutoGPT open source?
Yes - both are open-source projects on GitHub (trae-agent: MIT, AutoGPT: Other).
Where can I find alternatives to trae-agent or AutoGPT?
GraphCanon lists graph-backed alternatives at trae-agent alternatives and AutoGPT alternatives (trae-agent markdown twin, AutoGPT markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, trae-agent or AutoGPT?
trae-agent: 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 trae-agent and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: trae-agent trust report; AutoGPT trust report.

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