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Comparison

AutoAgent vs lobehub

AutoAgent (Fully-Automated and Zero-Code LLM Agent Framework) vs lobehub (Your Chief Agent Operator for organizing agents into continuous operations) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · AutoAgent alternatives · lobehub alternatives

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AutoAgent

HKUDS/AutoAgent

9.5kpushed Oct 16, 2025
vs

lobehub

lobehub/lobehub

80kpushed Jul 8, 2026

Tagline

AutoAgent
Fully-Automated and Zero-Code LLM Agent Framework
lobehub
Your Chief Agent Operator for organizing agents into continuous operations

Stars

AutoAgent
9.5k
lobehub
80k

Forks

AutoAgent
1.3k
lobehub
16k

Open issues

AutoAgent
68
lobehub
586

Language

AutoAgent
Python
lobehub
TypeScript

Adopt for

AutoAgent
-
lobehub
LobeHub is designed as a Chief Agent Operator, focusing on orchestrating AI agents into continuous operations through tasks such as hiring, scheduling, and reporting.

Persona

AutoAgent
-
lobehub
-

Runtime

AutoAgent
-
lobehub
-

License

AutoAgent
MIT
lobehub
Other

Last pushed

AutoAgent
Oct 16, 2025
lobehub
Jul 8, 2026

Categories

AutoAgent
AI Agents
lobehub
AI Agents

Trust and health

Maintenance

AutoAgent
Slowing (36%)
lobehub
Very active (96%)

Days since push

AutoAgent
265d
lobehub
0d

Open issues (now)

AutoAgent
68
lobehub
586

Security scan

AutoAgent
Not scanned
lobehub
No MCP manifest

Full report

AutoAgent
Trust report

Typed relationship

AutoAgent alternative lobehubLobeHub and AutoAgent aim to manage and deploy multiple LLM-powered agents, providing solutions for orchestration and continuous operations.

Choose AutoAgent if…

  • AutoAgent is primarily Python; lobehub is TypeScript.
  • License: AutoAgent is MIT, lobehub is Other.
  • LobeHub and AutoAgent aim to manage and deploy multiple LLM-powered agents, providing solutions for orchestration and continuous operations.
  • Tags unique to AutoAgent: llms.

When NOT to use AutoAgent

  • Last GitHub push was 266 days ago (slowing maintenance, Oct 16, 2025). Validate activity before betting a new project on AutoAgent.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.

Choose lobehub if…

  • lobehub is primarily TypeScript; AutoAgent is Python.
  • License: lobehub is Other, AutoAgent is MIT.
  • Requirements: LobeHub supports deployment via Vercel, Zeabur, Sealos, or Alibaba Cloud. It can also be deployed using Docker..
  • LobeHub and AutoAgent aim to manage and deploy multiple LLM-powered agents, providing solutions for orchestration and continuous operations.
  • Tags unique to lobehub: agent-collaboration, ai, chief-agent-operator.
  • lobehub ships Docker support for self-hosted deployment.
  • lobehub ships an MCP server manifest.
  • If you need around-the-clock management of your AI team.

When NOT to use lobehub

  • If only single agent management is needed; LobeHub's strength lies in orchestrating multiple agents.
  • When the operational environment does not require continuous (24/7) operations of AI agents as LobeHub focuses on providing that constant availability.
  • For users who prefer open-source alternatives with extensive community support, given its license isn’t explicitly marked as open-source.

Explore

Related comparisons

Common questions

What is the difference between AutoAgent and lobehub?
AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. lobehub: Your Chief Agent Operator for organizing agents into continuous operations. See the comparison table for live GitHub stats and shared categories.
When should I choose AutoAgent over lobehub?
Choose AutoAgent over lobehub when AutoAgent is primarily Python; lobehub is TypeScript; License: AutoAgent is MIT, lobehub is Other; LobeHub and AutoAgent aim to manage and deploy multiple LLM-powered agents, providing solutions for orchestration and continuous operations; Tags unique to AutoAgent: llms.
When should I choose lobehub over AutoAgent?
Choose lobehub over AutoAgent when lobehub is primarily TypeScript; AutoAgent is Python; License: lobehub is Other, AutoAgent is MIT; Requirements: LobeHub supports deployment via Vercel, Zeabur, Sealos, or Alibaba Cloud. It can also be deployed using Docker.; LobeHub and AutoAgent aim to manage and deploy multiple LLM-powered agents, providing solutions for orchestration and continuous operations; Tags unique to lobehub: agent-collaboration, ai, chief-agent-operator; lobehub ships Docker support for self-hosted deployment; lobehub ships an MCP server manifest; If you need around-the-clock management of your AI team.
When should I avoid AutoAgent?
Last GitHub push was 266 days ago (slowing maintenance, Oct 16, 2025). Validate activity before betting a new project on AutoAgent. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
When should I avoid lobehub?
If only single agent management is needed; LobeHub's strength lies in orchestrating multiple agents. When the operational environment does not require continuous (24/7) operations of AI agents as LobeHub focuses on providing that constant availability. For users who prefer open-source alternatives with extensive community support, given its license isn’t explicitly marked as open-source.
Is AutoAgent or lobehub more popular on GitHub?
lobehub has more GitHub stars (79,597 vs 9,451). Stars measure visibility, not whether either tool fits your constraints.
Are AutoAgent and lobehub open source?
Yes - both are open-source projects on GitHub (AutoAgent: MIT, lobehub: Other).
Where can I find alternatives to AutoAgent or lobehub?
GraphCanon lists graph-backed alternatives at /tools/hkuds-autoagent/alternatives and /tools/lobehub-lobehub/alternatives (/tools/hkuds-autoagent/alternatives.md, /tools/lobehub-lobehub/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at /compare/hkuds-autoagent-vs-lobehub-lobehub.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, AutoAgent or lobehub?
AutoAgent: Slowing. lobehub: Very active. 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 AutoAgent and lobehub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAgent: /tools/hkuds-autoagent/trust; lobehub: /tools/lobehub-lobehub/trust.

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