Comparison
agent-zero vs AutoAgent
Verdict
Pick agent-zero if agent Zero is a Python-based AI framework that facilitates the creation of Dockerized autonomous AI agents, integrating with LLM providers like 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.
Markdown twin · agent-zero alternatives · AutoAgent alternatives
GraphCanon updated Sep 30, 2026
15views this month
vs
Trust & integrity
| Signal | agent-zero | AutoAgent |
|---|---|---|
| Maintenance | Very active (2d since push) As of Aug 19, 2026 · github_public_v1 | Slowing (307d since push) As of Aug 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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 AI framework that facilitates the creation of Dockerized autonomous AI agents, integrating with LLM providers like 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.
- 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, docker.
- Also covers Inference & Serving.
- Use Agent Zero when you need to create Dockerized instances for autonomous AI agents that can be easily managed and scaled.
When NOT to use agent-zero
- Avoid Agent Zero if you do not require Dockerization for your AI agents, as it adds an extra layer of complexity that may not be necessary.
- Do not use Agent Zero if you are looking for a framework that supports a wide range of LLM providers beyond OpenAI Codex, as its current integration is limited.
- Skip Agent Zero if you prefer a setup that does not rely on OAuth for connecting to LLM providers, as it may introduce additional steps in the setup process.
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 (agent0ai/agent-zero) · observed Sep 20, 2026
- GitHub forks (agent0ai/agent-zero) · observed Sep 20, 2026
- Last push (agent0ai/agent-zero) · observed Aug 16, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HKUDS/AutoAgent) · observed Sep 20, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Sep 20, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-zero 19k · AutoAgent 9.7k (synced Sep 20, 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; 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, docker; Also covers Inference & Serving; Use Agent Zero when you need to create Dockerized instances for autonomous AI agents that can be easily managed and scaled.
- 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?
- Avoid Agent Zero if you do not require Dockerization for your AI agents, as it adds an extra layer of complexity that may not be necessary. Do not use Agent Zero if you are looking for a framework that supports a wide range of LLM providers beyond OpenAI Codex, as its current integration is limited. Skip Agent Zero if you prefer a setup that does not rely on OAuth for connecting to LLM providers, as it may introduce additional steps in the setup process.
- 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.