--- title: "lagent vs DemoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/internlm-lagent-vs-melih-unsal-demogpt" tools: ["internlm-lagent", "melih-unsal-demogpt"] --- # lagent vs DemoGPT *GraphCanon updated Aug 16, 2026* ## Verdict Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick DemoGPT if extracting decision-critical facts for DemoGPT. [lagent](https://github.com/InternLM/lagent) reports 2.3k GitHub stars, 238 forks, and 24 open issues, last pushed Aug 3, 2026. [DemoGPT](https://github.com/melih-unsal/DemoGPT) has 1.9k stars, 224 forks, and 10 open issues, last pushed Apr 1, 2026. Figures are from public GitHub metadata via [lagent's repository](https://github.com/InternLM/lagent) and [DemoGPT's repository](https://github.com/melih-unsal/DemoGPT). | | [lagent](/tools/internlm-lagent.md) | [DemoGPT](/tools/melih-unsal-demogpt.md) | | --- | --- | --- | | Tagline | A lightweight framework for building LLM-based agents | Create LLM agents in a second with your prompts. | | Stars | 2,276 | 1,904 | | Forks | 238 | 224 | | Open issues | 24 | 10 | | Language | Python | Python | | Adopt for | lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. | Extracting decision-critical facts for DemoGPT | | Persona | - | - | | Runtime | - | - | | License | lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lagent](/tools/internlm-lagent.md) | [DemoGPT](/tools/melih-unsal-demogpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 12d | 135d | | Open issues (now) | 24 | 10 | | Stars delta | +8 (30d) | +3 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/internlm-lagent/trust.md) | [trust report](/tools/melih-unsal-demogpt/trust.md) | ## Shared compatibility - **Python**: [lagent](/tools/internlm-lagent.md) - Python runtime; [DemoGPT](/tools/melih-unsal-demogpt.md) - Python runtime ## Decision facts: lagent - **Pricing:** freemium - Available freely due to its open-source nature, but customization or enterprise support might involve additional costs. - **Adopt for:** lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. - **License detail:** lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. ## Decision facts: DemoGPT - **Adopt for:** Extracting decision-critical facts for DemoGPT ## Choose when ### Choose lagent if… - License: lagent is Apache-2.0, DemoGPT is MIT. - Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.. - Tags unique to lagent: gpt, llm, transformers. - When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design. ### Choose DemoGPT if… - License: DemoGPT is MIT, lagent is Apache-2.0. - Tags unique to DemoGPT: ai, autonomous-agents, chatgpt, langchain. - When you need a one-stop solution for creating LLM agents with pre-integrated tools, prompts, frameworks, and models. ## When NOT to use lagent - Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. - Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements. ## When NOT to use DemoGPT - When seeking highly specialized customization that goes beyond what is provided by integrated toolkits, since DemoGPT offers a comprehensive package which may lock you into its framework. - If your project critically requires proprietary or private licensing terms, as it's open-source under the MIT license and might not suit projects needing more restrictive or proprietary controls. ## Common questions ### What is the difference between lagent and DemoGPT? lagent: A lightweight framework for building LLM-based agents. DemoGPT: Create LLM agents in a second with your prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose lagent over DemoGPT? Choose lagent over DemoGPT when License: lagent is Apache-2.0, DemoGPT is MIT; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: gpt, llm, transformers; When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design. ### When should I choose DemoGPT over lagent? Choose DemoGPT over lagent when License: DemoGPT is MIT, lagent is Apache-2.0; Tags unique to DemoGPT: ai, autonomous-agents, chatgpt, langchain; When you need a one-stop solution for creating LLM agents with pre-integrated tools, prompts, frameworks, and models. ### When should I avoid lagent? Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements. ### When should I avoid DemoGPT? When seeking highly specialized customization that goes beyond what is provided by integrated toolkits, since DemoGPT offers a comprehensive package which may lock you into its framework. If your project critically requires proprietary or private licensing terms, as it's open-source under the MIT license and might not suit projects needing more restrictive or proprietary controls. ### Is lagent or DemoGPT more popular on GitHub? lagent has more GitHub stars (2,276 vs 1,904). Stars measure visibility, not whether either tool fits your constraints. ### Are lagent and DemoGPT open source? Yes - both are open-source projects on GitHub (lagent: Apache-2.0, DemoGPT: MIT). ### Where can I find alternatives to lagent or DemoGPT? GraphCanon lists graph-backed alternatives at [lagent alternatives](/tools/internlm-lagent/alternatives) and [DemoGPT alternatives](/tools/melih-unsal-demogpt/alternatives) ([lagent markdown twin](/tools/internlm-lagent/alternatives.md), [DemoGPT markdown twin](/tools/melih-unsal-demogpt/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/internlm-lagent-vs-melih-unsal-demogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lagent or DemoGPT? lagent: Active. DemoGPT: 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 lagent and DemoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lagent trust report](/tools/internlm-lagent/trust); [DemoGPT trust report](/tools/melih-unsal-demogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=internlm-lagent`](/api/graphcanon/graph?tool=internlm-lagent) - 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/_