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
Trust & integrity
| Signal | agent-zero | AutoAgent |
|---|---|---|
| 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
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 (agent0ai/agent-zero) · observed Aug 19, 2026
- GitHub forks (agent0ai/agent-zero) · observed Aug 19, 2026
- Last push (agent0ai/agent-zero) · observed Aug 16, 2026
- License file (Other) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HKUDS/AutoAgent) · observed Aug 19, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Aug 19, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- License file (MIT) · observed Aug 19, 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 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/usrdirectory 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.