Home/Compare/agent-zero vs AutoAgent

Comparison

agent-zero vs AutoAgent

Verdict

Pick agent-zero if agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth; pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments.

Markdown twin · agent-zero alternatives · AutoAgent alternatives

GraphCanon updated 2d

agent-zero logo

agent-zero

agent0ai/agent-zero

19kpushed Aug 16, 2026
vs
AutoAgent logo

AutoAgent

HKUDS/AutoAgent

9.7kpushed Oct 16, 2025

Trust & integrity

Signalagent-zeroAutoAgent
Maintenance
Very active (2d since push)
As of 2d · github_public_v1
Slowing (307d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 2d · github_public_v1
Not a fork · Organization account
As of 2d · github_public_v1
OSV dependency advisories
Published findings
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

agent-zero
Agent Zero AI framework
AutoAgent
Fully-Automated and Zero-Code LLM Agent Framework

Stars

agent-zero
19k
AutoAgent
9.7k

Forks

agent-zero
3.7k
AutoAgent
1.4k

Open issues

agent-zero
156
AutoAgent
68

Language

agent-zero
Python
AutoAgent
Python

Adopt for

agent-zero
Agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth.
AutoAgent
AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments

Persona

agent-zero
-
AutoAgent
-

Runtime

agent-zero
-
AutoAgent
-

License

agent-zero
Other
AutoAgent
MIT

Last pushed

agent-zero
Aug 16, 2026
AutoAgent
Oct 16, 2025

Categories

agent-zero
AI Agents, Inference & Serving
AutoAgent
AI Agents

Trust and health

Maintenance

agent-zero
Very active (96%)
AutoAgent
Slowing (36%)

Days since push

agent-zero
2d
AutoAgent
307d

Open issues (now)

agent-zero
156
AutoAgent
68

Stars delta

agent-zero
+453 (30d)
AutoAgent
+242 (30d)

Open issues delta

agent-zero
-67 (30d)
AutoAgent
-1 (30d)

OSV dependency advisories

agent-zero
Published findings
AutoAgent
No lockfile (source not queried)

Full report

agent-zero
Trust report
AutoAgent
Trust report

Typed relationship

agent-zero alternative AutoAgentLike Agent Zero, AutoAgent is focused on fully automated and zero-code frameworks for developing LLM agents with a focus on simplicity and accessibility.

Choose agent-zero if…

  • License: agent-zero is Other, AutoAgent is MIT.
  • Pricing: The repository does not explicitly state any pricing information..
  • Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments..
  • Like Agent Zero, AutoAgent is focused on fully automated and zero-code frameworks for developing LLM agents with a focus on simplicity and accessibility.
  • Tags unique to agent-zero: ai, assistant, autonomous, linux.
  • Also covers Inference & Serving.
  • * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes.

When NOT to use agent-zero

  • * When your deployment environment does not support or require Dockerization for agent operations.
  • * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical.
  • * For installations that do not align well with the provided `/a0/usr` directory mapping conventions (e.g., specific data directories are required).

Choose AutoAgent if…

  • License: AutoAgent is MIT, agent-zero is Other.
  • Like Agent Zero, AutoAgent is focused on fully automated and zero-code frameworks for developing LLM agents with a focus on simplicity and accessibility.
  • Tags unique to AutoAgent: llms.
  • Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.

When NOT to use AutoAgent

  • Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
  • Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.

Explore

Sources

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

GitHub stars on cards: agent-zero 19k · AutoAgent 9.7k (synced Aug 19, 2026).

Common questions

What is the difference between agent-zero and AutoAgent?
agent-zero: Agent Zero AI framework. AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-zero over AutoAgent?
Choose agent-zero over AutoAgent when License: agent-zero is Other, AutoAgent is MIT; Pricing: The repository does not explicitly state any pricing information.; Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments.; Like Agent Zero, AutoAgent is focused on fully automated and zero-code frameworks for developing LLM agents with a focus on simplicity and accessibility; Tags unique to agent-zero: ai, assistant, autonomous, linux; Also covers Inference & Serving; * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes.
When should I choose AutoAgent over agent-zero?
Choose AutoAgent over agent-zero when License: AutoAgent is MIT, agent-zero is Other; Like Agent Zero, AutoAgent is focused on fully automated and zero-code frameworks for developing LLM agents with a focus on simplicity and accessibility; Tags unique to AutoAgent: llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
When should I avoid agent-zero?
* When your deployment environment does not support or require Dockerization for agent operations. * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical. * For installations that do not align well with the provided /a0/usr directory mapping conventions (e.g., specific data directories are required).
When should I avoid AutoAgent?
Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
Is agent-zero or AutoAgent more popular on GitHub?
agent-zero has more GitHub stars (18,906 vs 9,738). Stars measure visibility, not whether either tool fits your constraints.
Are agent-zero and AutoAgent open source?
Yes - both are open-source projects on GitHub (agent-zero: Other, AutoAgent: MIT).
Where can I find alternatives to agent-zero or AutoAgent?
GraphCanon lists graph-backed alternatives at agent-zero alternatives and AutoAgent alternatives (agent-zero markdown twin, AutoAgent 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, agent-zero or AutoAgent?
agent-zero: Very active. AutoAgent: Slowing. 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 agent-zero and AutoAgent?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-zero trust report; AutoAgent trust report.

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