---
title: "lmql vs lagent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/eth-sri-lmql-vs-internlm-lagent"
tools: ["eth-sri-lmql", "internlm-lagent"]
---

# lmql vs lagent

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick lmql if facilitates LLM programming with constraints for efficiency, Python-based; pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.

[lmql](https://lmql.ai) reports 4.2k GitHub stars, 221 forks, and 120 open issues, last pushed May 22, 2025. [lagent](https://github.com/InternLM/lagent) has 2.3k stars, 238 forks, and 24 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [lmql's repository](https://github.com/eth-sri/lmql) and [lagent's repository](https://github.com/InternLM/lagent).

| | [lmql](/tools/eth-sri-lmql.md) | [lagent](/tools/internlm-lagent.md) |
| --- | --- | --- |
| Tagline | A language for constraint-guided and efficient LLM programming. | A lightweight framework for building LLM-based agents |
| Stars | 4,203 | 2,276 |
| Forks | 221 | 238 |
| Open issues | 120 | 24 |
| Language | Python | Python |
| Adopt for | Facilitates LLM programming with constraints for efficiency, Python-based. | lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. |
| Categories | LLM Frameworks | AI Agents, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [lmql](/tools/eth-sri-lmql.md) | [lagent](/tools/internlm-lagent.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Active (82%) |
| Days since push | 450d | 12d |
| Open issues (now) | 120 | 24 |
| Stars delta | +1 (30d) | +8 (30d) |
| Open issues delta | 0 (30d) | +1 (30d) |
| Full report | [trust report](/tools/eth-sri-lmql/trust.md) | [trust report](/tools/internlm-lagent/trust.md) |

## Shared compatibility

- **Python**: [lmql](/tools/eth-sri-lmql.md) - Python runtime; [lagent](/tools/internlm-lagent.md) - Python runtime

## Decision facts: lmql

- **Adopt for:** Facilitates LLM programming with constraints for efficiency, Python-based.

## 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.

## Choose when

### Choose lmql if…

- Tags unique to lmql: chatgpt, huggingface, language-model, programming-language.
- When needing precise control over language model output through programmable constraints
- More GitHub stars (4.2k vs 2.3k) - visibility, not fit.

### Choose lagent if…

- 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.
- Also covers AI Agents.
- 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 NOT to use lmql

- For general-purpose coding without leveraging specific LLM functionalities
- If the project does not benefit from constraint-guided interactions with language 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.

## Common questions

### What is the difference between lmql and lagent?

lmql: A language for constraint-guided and efficient LLM programming.. lagent: A lightweight framework for building LLM-based agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose lmql over lagent?

Choose lmql over lagent when Tags unique to lmql: chatgpt, huggingface, language-model, programming-language; When needing precise control over language model output through programmable constraints; More GitHub stars (4.2k vs 2.3k) - visibility, not fit.

### When should I choose lagent over lmql?

Choose lagent over lmql when 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; Also covers AI Agents; 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 avoid lmql?

For general-purpose coding without leveraging specific LLM functionalities If the project does not benefit from constraint-guided interactions with language 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.

### Is lmql or lagent more popular on GitHub?

lmql has more GitHub stars (4,203 vs 2,276). Stars measure visibility, not whether either tool fits your constraints.

### Are lmql and lagent open source?

Yes - both are open-source projects on GitHub (lmql: Apache-2.0, lagent: Apache-2.0).

### Where can I find alternatives to lmql or lagent?

GraphCanon lists graph-backed alternatives at [lmql alternatives](/tools/eth-sri-lmql/alternatives) and [lagent alternatives](/tools/internlm-lagent/alternatives) ([lmql markdown twin](/tools/eth-sri-lmql/alternatives.md), [lagent markdown twin](/tools/internlm-lagent/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/eth-sri-lmql-vs-internlm-lagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, lmql or lagent?

lmql: Dormant. lagent: 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 lmql and lagent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lmql trust report](/tools/eth-sri-lmql/trust); [lagent trust report](/tools/internlm-lagent/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=eth-sri-lmql`](/api/graphcanon/graph?tool=eth-sri-lmql)
- 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/_
