--- title: "lagent vs late-cli" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/internlm-lagent-vs-mlhher-late-cli" tools: ["internlm-lagent", "mlhher-late-cli"] --- # lagent vs late-cli *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 late-cli if orchestrate multiple AI agents for dev tasks without config within 5GB VRAM limit. [lagent](https://github.com/InternLM/lagent) reports 2.3k GitHub stars, 238 forks, and 24 open issues, last pushed Aug 3, 2026. [late-cli](https://github.com/mlhher/late-cli) has 402 stars, 40 forks, and 5 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [lagent's repository](https://github.com/InternLM/lagent) and [late-cli's repository](https://github.com/mlhher/late-cli). | | [lagent](/tools/internlm-lagent.md) | [late-cli](/tools/mlhher-late-cli.md) | | --- | --- | --- | | Tagline | A lightweight framework for building LLM-based agents | Orchestrate an entire AI dev team on 5GB VRAM with zero config. | | Stars | 2,276 | 402 | | Forks | 238 | 40 | | Open issues | 24 | 5 | | Language | Python | Go | | Adopt for | lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. | Orchestrate multiple AI agents for dev tasks without config within 5GB VRAM limit | | Persona | - | - | | Runtime | - | - | | License | lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. | Other | | 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) | [late-cli](/tools/mlhher-late-cli.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 12d | 2d | | Open issues (now) | 24 | 5 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/internlm-lagent/trust.md) | [trust report](/tools/mlhher-late-cli/trust.md) | ## 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: late-cli - **Adopt for:** Orchestrate multiple AI agents for dev tasks without config within 5GB VRAM limit ## Choose when ### Choose lagent if… - lagent is primarily Python; late-cli is Go. - License: lagent is Apache-2.0, late-cli is Other. - Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.. - Tags unique to lagent: agent, 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 late-cli if… - late-cli is primarily Go; lagent is Python. - License: late-cli is Other, lagent is Apache-2.0. - Tags unique to late-cli: ai-agents, auto-config, ephemeral-agents, llm-support. - Projects needing coordination among various AI models like Claude, Gemini, Qwen without heavy setup ## 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 late-cli - Situations requiring configuration customization to adapt to different project requirements - Workflows that need more than 5GB of VRAM for AI model operations and management ## Common questions ### What is the difference between lagent and late-cli? lagent: A lightweight framework for building LLM-based agents. late-cli: Orchestrate an entire AI dev team on 5GB VRAM with zero config.. See the comparison table for live GitHub stats and shared categories. ### When should I choose lagent over late-cli? Choose lagent over late-cli when lagent is primarily Python; late-cli is Go; License: lagent is Apache-2.0, late-cli is Other; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, 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 late-cli over lagent? Choose late-cli over lagent when late-cli is primarily Go; lagent is Python; License: late-cli is Other, lagent is Apache-2.0; Tags unique to late-cli: ai-agents, auto-config, ephemeral-agents, llm-support; Projects needing coordination among various AI models like Claude, Gemini, Qwen without heavy setup. ### 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 late-cli? Situations requiring configuration customization to adapt to different project requirements Workflows that need more than 5GB of VRAM for AI model operations and management ### Is lagent or late-cli more popular on GitHub? lagent has more GitHub stars (2,276 vs 402). Stars measure visibility, not whether either tool fits your constraints. ### Are lagent and late-cli open source? Yes - both are open-source projects on GitHub (lagent: Apache-2.0, late-cli: Other). ### Where can I find alternatives to lagent or late-cli? GraphCanon lists graph-backed alternatives at [lagent alternatives](/tools/internlm-lagent/alternatives) and [late-cli alternatives](/tools/mlhher-late-cli/alternatives) ([lagent markdown twin](/tools/internlm-lagent/alternatives.md), [late-cli markdown twin](/tools/mlhher-late-cli/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-mlhher-late-cli.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lagent or late-cli? lagent: Active. late-cli: 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 lagent and late-cli? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lagent trust report](/tools/internlm-lagent/trust); [late-cli trust report](/tools/mlhher-late-cli/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/_