Comparison
crewAI vs AutoAgent
Verdict
Pick crewAI if crewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks; 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 3d
Trust & integrity
| Signal | crewAI | AutoAgent |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Slowing (307d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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
- crewAI
- Framework for orchestrating role-playing AI agents
- AutoAgent
- Fully-Automated and Zero-Code LLM Agent Framework
Stars
- crewAI
- 57k
- AutoAgent
- 9.7k
Forks
- crewAI
- 8.1k
- AutoAgent
- 1.4k
Open issues
- crewAI
- 769
- AutoAgent
- 68
Language
- crewAI
- Python
- AutoAgent
- Python
Adopt for
- crewAI
- CrewAI is a Python-based framework focusing on orchestration and collaboration among role-playing AI agents for tackling complex tasks.
- 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
- MIT
- AutoAgent
- MIT
Last pushed
- crewAI
- Aug 8, 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
- 769
- AutoAgent
- 68
Stars delta
- crewAI
- +1.6k (30d)
- AutoAgent
- +242 (30d)
Open issues delta
- crewAI
- +152 (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…
- 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-agents, aiagentframework, autonomous-agents.
- When you need to coordinate multiple autonomous AI agents in a cohesive teamworking environment, leveraging their individual capabilities for collective problem-solving.
When NOT to use crewAI
- If your project only requires simple interactions among a few AI bots without necessary orchestration of complex teamwork dynamics.
- In scenarios where real-time decision-making is crucial and the added layer of coordination between agents might introduce latency that can't be tolerated.
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 Aug 8, 2026
- GitHub forks (crewAIInc/crewAI) · observed Aug 8, 2026
- Last push (crewAIInc/crewAI) · observed Aug 8, 2026
- License file (MIT) · observed Aug 8, 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: crewAI 57k · AutoAgent 9.7k (synced Aug 8, 2026).
Common questions
- What is the difference between crewAI and AutoAgent?
- crewAI: Framework for orchestrating role-playing 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 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-agents, aiagentframework, autonomous-agents; When you need to coordinate multiple autonomous AI agents in a cohesive teamworking environment, leveraging their individual capabilities for collective problem-solving.
- 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 only requires simple interactions among a few AI bots without necessary orchestration of complex teamwork dynamics. In scenarios where real-time decision-making is crucial and the added layer of coordination between agents might introduce latency that can't be tolerated.
- 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 (56,779 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.