Comparison
crewAI vs AutoAgent
Verdict
Pick crewAI if crewAI is a framework for orchestrating autonomous AI agents to work collaboratively on complex tasks, using Python and UV for dependency management; 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 · crewAI alternatives · AutoAgent alternatives
GraphCanon updated Sep 20, 2026
17views this month
Trust & integrity
| Signal | crewAI | AutoAgent |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (307d since push) As of Aug 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- crewAI
- Framework for orchestrating role-playing, autonomous AI agents
- AutoAgent
- Fully-Automated and Zero-Code LLM Agent Framework
Stars
- crewAI
- 59k
- AutoAgent
- 9.7k
Forks
- crewAI
- 8.5k
- AutoAgent
- 1.4k
Open issues
- crewAI
- 349
- AutoAgent
- 68
Language
- crewAI
- Python
- AutoAgent
- Python
Adopt for
- crewAI
- CrewAI is a framework for orchestrating autonomous AI agents to work collaboratively on complex tasks, using Python and UV for dependency management.
- 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
- crewAI
- -
- AutoAgent
- -
Runtime
- crewAI
- -
- AutoAgent
- -
License
- crewAI
- CrewAI is available under the MIT License, allowing for broad usage and modification.
- AutoAgent
- MIT
Last pushed
- crewAI
- Sep 18, 2026
- AutoAgent
- Oct 16, 2025
Categories
- crewAI
- AI Agents
- AutoAgent
- AI Agents
Trust and health
Maintenance
- crewAI
- Very active (96%)
- AutoAgent
- Slowing (36%)
Days since push
- crewAI
- 0d
- AutoAgent
- 307d
Open issues (now)
- crewAI
- 349
- AutoAgent
- 68
Stars delta
- crewAI
- +1.9k (30d)
- AutoAgent
- +242 (30d)
Open issues delta
- crewAI
- -420 (30d)
- AutoAgent
- -1 (30d)
Full report
- crewAI
- Trust report
- AutoAgent
- Trust report
Typed relationship
crewAI alternative AutoAgentBoth frameworks focus on multi-agent automation and provide tools for fast deployment, making them alternatives in the space of automating tasks through AI agents.
Shared compatibility
- Python · crewAI: Python runtime · AutoAgent: Python runtime
Choose crewAI if…
- Requirements: Requires Python >=3.10 and <3.14.; Uses UV for dependency management..
- Both frameworks focus on multi-agent automation and provide tools for fast deployment, making them alternatives in the space of automating tasks through AI agents.
- Tags unique to crewAI: agents, ai, ai-agents, aiagentframework.
- When you need a framework that supports the creation and orchestration of autonomous AI agents for collaborative tasks.
When NOT to use crewAI
- If your project does not require autonomous AI agents or collaborative intelligence among agents.
- When you prefer not to use UV for dependency management or if your environment does not support Python within the required version range.
- If your project's complexity does not necessitate the orchestration of multiple AI agents, or if you are working in an environment where the installation of additional tools like UV is not feasible.
Choose AutoAgent if…
- Both frameworks focus on multi-agent automation and provide tools for fast deployment, making them alternatives in the space of automating tasks through AI agents.
- Tags unique to AutoAgent: agent.
- 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 (crewAIInc/crewAI) · observed Sep 20, 2026
- GitHub forks (crewAIInc/crewAI) · observed Sep 20, 2026
- Last push (crewAIInc/crewAI) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 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: crewAI 59k · AutoAgent 9.7k (synced Sep 20, 2026).
Common questions
- What is the difference between crewAI and AutoAgent?
- crewAI: Framework for orchestrating role-playing, autonomous AI agents. AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose crewAI over AutoAgent?
- Choose crewAI over AutoAgent when Requirements: Requires Python >=3.10 and <3.14.; Uses UV for dependency management.; Both frameworks focus on multi-agent automation and provide tools for fast deployment, making them alternatives in the space of automating tasks through AI agents; Tags unique to crewAI: agents, ai, ai-agents, aiagentframework; When you need a framework that supports the creation and orchestration of autonomous AI agents for collaborative tasks.
- When should I choose AutoAgent over crewAI?
- Choose AutoAgent over crewAI when Both frameworks focus on multi-agent automation and provide tools for fast deployment, making them alternatives in the space of automating tasks through AI agents; Tags unique to AutoAgent: agent; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
- When should I avoid crewAI?
- If your project does not require autonomous AI agents or collaborative intelligence among agents. When you prefer not to use UV for dependency management or if your environment does not support Python within the required version range. If your project's complexity does not necessitate the orchestration of multiple AI agents, or if you are working in an environment where the installation of additional tools like UV is not feasible.
- 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 crewAI or AutoAgent more popular on GitHub?
- crewAI has more GitHub stars (58,723 vs 9,738). Stars measure visibility, not whether either tool fits your constraints.
- Are crewAI and AutoAgent open source?
- Yes - both are open-source projects on GitHub (crewAI: MIT, AutoAgent: MIT).
- Where can I find alternatives to crewAI or AutoAgent?
- GraphCanon lists graph-backed alternatives at crewAI alternatives and AutoAgent alternatives (crewAI 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, crewAI or AutoAgent?
- crewAI: 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 crewAI and AutoAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crewAI trust report; AutoAgent trust report.