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Comparison

LazyLLM vs AgentGPT

Verdict

Pick LazyLLM if critical facts for LazyLLM; pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects.

Markdown twin · LazyLLM alternatives · AgentGPT alternatives

GraphCanon updated 2w

LazyLLM logo

LazyLLM

LazyAGI/LazyLLM

★ 3.9kpushed Aug 7, 2026
vs
AgentGPT logo

AgentGPT

reworkd/AgentGPT

★ 36kpushed Apr 29, 2025

Trust & integrity

SignalLazyLLMAgentGPT
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Archived (466d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · 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
LazyLLM trust reportAgentGPT trust reportTrust methodology

Tagline

LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
AgentGPT
Assembler for autonomous AI Agents

Stars

LazyLLM
3.9k
AgentGPT
36k

Forks

LazyLLM
404
AgentGPT
9.3k

Open issues

LazyLLM
41
AgentGPT
219

Language

LazyLLM
Python
AgentGPT
TypeScript

Adopt for

LazyLLM
Critical facts for LazyLLM
AgentGPT
AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects

Persona

LazyLLM
-
AgentGPT
-

Runtime

LazyLLM
-
AgentGPT
-

License

LazyLLM
Apache-2.0
AgentGPT
GPL-3.0

Last pushed

LazyLLM
Aug 7, 2026
AgentGPT
Apr 29, 2025

Categories

LazyLLM
AI Agents, Model Training
AgentGPT
AI Agents, Developer Tools

Trust and health

Maintenance

LazyLLM
Very active (96%)
AgentGPT
Archived (8%)

Days since push

LazyLLM
0d
AgentGPT
466d

Archived on GitHub

LazyLLM
No
AgentGPT
Yes

Open issues (now)

LazyLLM
41
AgentGPT
219

OSV dependency advisories

LazyLLM
Published findings
AgentGPT
No lockfile (source not queried)

Full report

LazyLLM
Trust report
AgentGPT
Trust report

Choose LazyLLM if…

  • LazyLLM is primarily Python; AgentGPT is TypeScript.
  • License: LazyLLM is Apache-2.0, AgentGPT is GPL-3.0.
  • Pricing: LazyLLM is open-source under the Apache-2.0 license, making it free to use for both personal and commercial projects..
  • Requirements: Min 8 GB RAM; Installation can be done via pip or from source. No Docker required, but a Python environment is necessary..
  • Tags unique to LazyLLM: agents, ai-agent, deep-learning, framework.
  • Also covers Model Training.
  • - When you need a highly user-friendly framework specifically designed for building multi-agent LLM applications, emphasizing simplicity and streamlined installation.

When NOT to use LazyLLM

  • - Avoid if you require extensive customization options or a more complex framework; LazyLLM's focus on being the 'laziest' way may mean it lacks advanced or specialized features found in other tools.
  • - If you are working with non-Python environments, as LazyLLM is specifically language-oriented towards Python. Users needing cross-language support might not find LazyLLM suitable.
GitHubDetails

Choose AgentGPT if…

  • AgentGPT is primarily TypeScript; LazyLLM is Python.
  • License: AgentGPT is GPL-3.0, LazyLLM is Apache-2.0.
  • Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup.
  • Also covers Developer Tools.
  • AgentGPT ships Docker support for self-hosted deployment.
  • When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI

When NOT to use AgentGPT

  • Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box
  • Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
GitHubDetails

Explore

LazyLLM trust report →AgentGPT trust report →AI Agents category →Model Training category →Developer Tools 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: LazyLLM 3.9k · AgentGPT 36k (synced Aug 8, 2026).

Common questions

What is the difference between LazyLLM and AgentGPT?
LazyLLM: Easiest and laziest way for building multi-agent LLMs applications.. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose LazyLLM over AgentGPT?
Choose LazyLLM over AgentGPT when LazyLLM is primarily Python; AgentGPT is TypeScript; License: LazyLLM is Apache-2.0, AgentGPT is GPL-3.0; Pricing: LazyLLM is open-source under the Apache-2.0 license, making it free to use for both personal and commercial projects.; Requirements: Min 8 GB RAM; Installation can be done via pip or from source. No Docker required, but a Python environment is necessary.; Tags unique to LazyLLM: agents, ai-agent, deep-learning, framework; Also covers Model Training; - When you need a highly user-friendly framework specifically designed for building multi-agent LLM applications, emphasizing simplicity and streamlined installation.
When should I choose AgentGPT over LazyLLM?
Choose AgentGPT over LazyLLM when AgentGPT is primarily TypeScript; LazyLLM is Python; License: AgentGPT is GPL-3.0, LazyLLM is Apache-2.0; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
When should I avoid LazyLLM?
- Avoid if you require extensive customization options or a more complex framework; LazyLLM's focus on being the 'laziest' way may mean it lacks advanced or specialized features found in other tools. - If you are working with non-Python environments, as LazyLLM is specifically language-oriented towards Python. Users needing cross-language support might not find LazyLLM suitable.
When should I avoid AgentGPT?
Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
Is LazyLLM or AgentGPT more popular on GitHub?
AgentGPT has more GitHub stars (36,304 vs 3,866). Stars measure visibility, not whether either tool fits your constraints.
Are LazyLLM and AgentGPT open source?
Yes - both are open-source projects on GitHub (LazyLLM: Apache-2.0, AgentGPT: GPL-3.0).
Where can I find alternatives to LazyLLM or AgentGPT?
GraphCanon lists graph-backed alternatives at LazyLLM alternatives and AgentGPT alternatives (LazyLLM markdown twin, AgentGPT 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, LazyLLM or AgentGPT?
LazyLLM: Very active. AgentGPT: Archived. 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 LazyLLM and AgentGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LazyLLM trust report; AgentGPT trust report.

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