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Comparison

AutoAgent vs lobehub

Verdict

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; pick lobehub if lobeHub is a platform for managing AI agents, offering features like scheduling, deployment, and reporting. It's developed in TypeScript under an 'Other' license.

Markdown twin · AutoAgent alternatives · lobehub alternatives

GraphCanon updated today

AutoAgent logo

AutoAgent

HKUDS/AutoAgent

★ 9.7kpushed Oct 16, 2025
vs
lobehub logo

lobehub

lobehub/lobehub

★ 82kpushed Aug 18, 2026

Trust & integrity

SignalAutoAgentlobehub
Maintenance
Slowing (307d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · 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
AutoAgent trust reportlobehub trust reportTrust methodology

Tagline

AutoAgent
Fully-Automated and Zero-Code LLM Agent Framework
lobehub
Your Chief Agent Operator for managing AI agents

Stars

AutoAgent
9.7k
lobehub
82k

Forks

AutoAgent
1.4k
lobehub
16k

Open issues

AutoAgent
68
lobehub
768

Language

AutoAgent
Python
lobehub
TypeScript

Adopt for

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
lobehub
LobeHub is a platform for managing AI agents, offering features like scheduling, deployment, and reporting. It's developed in TypeScript under an 'Other' license.

Persona

AutoAgent
-
lobehub
-

Runtime

AutoAgent
-
lobehub
-

License

AutoAgent
MIT
lobehub
Other

Last pushed

AutoAgent
Oct 16, 2025
lobehub
Aug 18, 2026

Categories

AutoAgent
AI Agents
lobehub
AI Agents

Trust and health

Maintenance

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

Days since push

AutoAgent
307d
lobehub
0d

Open issues (now)

AutoAgent
68
lobehub
768

Stars delta

AutoAgent
+242 (30d)
lobehub
+1.3k (30d)

Open issues delta

AutoAgent
-1 (30d)
lobehub
+142 (30d)

Full report

AutoAgent
Trust report
lobehub
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: agent, 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.
GitHubDetails

Choose lobehub if…

  • lobehub is primarily TypeScript; AutoAgent is Python.
  • License: lobehub is Other, AutoAgent is MIT.
  • Pricing: Pricing information for LobeHub is not specified. The platform uses an 'Other' license type which suggests the terms are unique to its offering and should be checked directly with the project..
  • Requirements: Requires Docker; Self-hosting is supported through Docker, providing flexibility in deployment..
  • 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, agent-harness, chatgpt, claude.
  • lobehub ships Docker support for self-hosted deployment.
  • lobehub ships an MCP server manifest.
  • - When you need comprehensive management of your AI agents to ensure they are operating efficiently around the clock (24/7). LobeHub can help organize your agents through task assignment, monitoring,

When NOT to use lobehub

  • - If you require a platform with pre-built integrations for specific AI agent types that aren't part of its current support base.
  • - When the project is highly sensitive to data security and requires a more established and certified hosting environment as LobeHub’s self-hosted version using Docker may not meet stringent security,
  • compliance requirements out-of-the-box.
GitHubDetails

Explore

AutoAgent trust report →lobehub trust report →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AutoAgent 9.7k · lobehub 82k (synced Aug 19, 2026).

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 managing AI agents. 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: agent, llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
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; Pricing: Pricing information for LobeHub is not specified. The platform uses an 'Other' license type which suggests the terms are unique to its offering and should be checked directly with the project.; Requirements: Requires Docker; Self-hosting is supported through Docker, providing flexibility in deployment.; 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, agent-harness, chatgpt, claude; lobehub ships Docker support for self-hosted deployment; lobehub ships an MCP server manifest; - When you need comprehensive management of your AI agents to ensure they are operating efficiently around the clock (24/7). LobeHub can help organize your agents through task assignment, monitoring,.
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.
When should I avoid lobehub?
- If you require a platform with pre-built integrations for specific AI agent types that aren't part of its current support base. - When the project is highly sensitive to data security and requires a more established and certified hosting environment as LobeHub’s self-hosted version using Docker may not meet stringent security, compliance requirements out-of-the-box.
Is AutoAgent or lobehub more popular on GitHub?
lobehub has more GitHub stars (81,810 vs 9,738). 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 AutoAgent alternatives and lobehub alternatives (AutoAgent markdown twin, lobehub 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, 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 trust report; lobehub trust report.

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