--- title: "LazyLLM vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lazyagi-lazyllm-vs-reworkd-agentgpt" tools: ["lazyagi-lazyllm", "reworkd-agentgpt"] --- # LazyLLM vs AgentGPT *GraphCanon updated Aug 8, 2026* ## 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. [LazyLLM](https://docs.lazyllm.ai/) reports 3.9k GitHub stars, 404 forks, and 41 open issues, last pushed Aug 7, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [LazyLLM's repository](https://github.com/LazyAGI/LazyLLM) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [LazyLLM](/tools/lazyagi-lazyllm.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Easiest and laziest way for building multi-agent LLMs applications. | Assembler for autonomous AI Agents | | Stars | 3,866 | 36,304 | | Forks | 404 | 9,288 | | Open issues | 41 | 219 | | Language | Python | TypeScript | | Adopt for | Critical facts for LazyLLM | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LazyLLM](/tools/lazyagi-lazyllm.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 41 | 219 | | Full report | [trust report](/tools/lazyagi-lazyllm/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: LazyLLM - **Pricing:** freemium - 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. - **Adopt for:** Critical facts for LazyLLM ## Decision facts: AgentGPT - **Adopt for:** 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 ## Choose when ### 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. ### 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 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 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 ## 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](/tools/lazyagi-lazyllm/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([LazyLLM markdown twin](/tools/lazyagi-lazyllm/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/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 [this comparison](/compare/lazyagi-lazyllm-vs-reworkd-agentgpt.md) 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](/tools/lazyagi-lazyllm/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lazyagi-lazyllm`](/api/graphcanon/graph?tool=lazyagi-lazyllm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_