Comparison
lagent vs agent-lightning
Verdict
Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick agent-lightning if detailed examination of agent-lightning reveals its strong points in model training, specifically its support for reinforcement learning and MLOps.
Markdown twin · lagent alternatives · agent-lightning alternatives
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vs
Trust & integrity
| Signal | lagent | agent-lightning |
|---|---|---|
| Maintenance | Active (12d since push) As of 3d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1w · 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 |
Tagline
- lagent
- A lightweight framework for building LLM-based agents
- agent-lightning
- The absolute trainer to light up AI agents
Stars
- lagent
- 2.3k
- agent-lightning
- 18k
Forks
- lagent
- 238
- agent-lightning
- 1.5k
Open issues
- lagent
- 24
- agent-lightning
- 156
Language
- lagent
- Python
- agent-lightning
- Python
Adopt for
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
- agent-lightning
- Detailed examination of agent-lightning reveals its strong points in model training, specifically its support for reinforcement learning and MLOps.
Persona
- lagent
- -
- agent-lightning
- -
Runtime
- lagent
- -
- agent-lightning
- -
License
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
- agent-lightning
- MIT
Last pushed
- lagent
- Aug 3, 2026
- agent-lightning
- Aug 19, 2026
Categories
- lagent
- AI Agents, LLM Frameworks
- agent-lightning
- AI Agents, Model Training
Trust and health
Maintenance
- lagent
- Active (82%)
- agent-lightning
- Very active (96%)
Days since push
- lagent
- 12d
- agent-lightning
- 0d
Open issues (now)
- lagent
- 24
- agent-lightning
- 156
Stars delta
- lagent
- +8 (30d)
- agent-lightning
- +104 (30d)
Open issues delta
- lagent
- +1 (30d)
- agent-lightning
- +3 (30d)
Full report
- lagent
- Trust report
- agent-lightning
- Trust report
Choose lagent if…
- License: lagent is Apache-2.0, agent-lightning 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, transformers.
- Also covers LLM Frameworks.
- 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 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.
Choose agent-lightning if…
- License: agent-lightning is MIT, lagent is Apache-2.0.
- Tags unique to agent-lightning: agentic-ai, mlops, reinforcement-learning.
- Also covers Model Training.
- When you're dealing with projects that require continuous integration and deployment workflows (CI/CD), as agent-lightning supports MLOps practices which facilitate this.
When NOT to use agent-lightning
- Avoid using agent-lightning if you're working in a language other than Python, given that it's only available as a Python package.
- It might not be the best fit for projects where stability over cutting-edge features is prioritized. Its development focus leans towards experimental functionalities, with frequent updates to the Test
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (InternLM/lagent) · observed Aug 16, 2026
- GitHub forks (InternLM/lagent) · observed Aug 16, 2026
- Last push (InternLM/lagent) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/agent-lightning) · observed Aug 19, 2026
- GitHub forks (microsoft/agent-lightning) · observed Aug 19, 2026
- Last push (microsoft/agent-lightning) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 2026
GitHub stars on cards: lagent 2.3k · agent-lightning 18k (synced Aug 16, 2026).
Common questions
- What is the difference between lagent and agent-lightning?
- lagent: A lightweight framework for building LLM-based agents. agent-lightning: The absolute trainer to light up AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose lagent over agent-lightning?
- Choose lagent over agent-lightning when License: lagent is Apache-2.0, agent-lightning 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, transformers; Also covers LLM Frameworks; 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 agent-lightning over lagent?
- Choose agent-lightning over lagent when License: agent-lightning is MIT, lagent is Apache-2.0; Tags unique to agent-lightning: agentic-ai, mlops, reinforcement-learning; Also covers Model Training; When you're dealing with projects that require continuous integration and deployment workflows (CI/CD), as agent-lightning supports MLOps practices which facilitate this.
- 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 agent-lightning?
- Avoid using agent-lightning if you're working in a language other than Python, given that it's only available as a Python package. It might not be the best fit for projects where stability over cutting-edge features is prioritized. Its development focus leans towards experimental functionalities, with frequent updates to the Test
- Is lagent or agent-lightning more popular on GitHub?
- agent-lightning has more GitHub stars (17,500 vs 2,276). Stars measure visibility, not whether either tool fits your constraints.
- Are lagent and agent-lightning open source?
- Yes - both are open-source projects on GitHub (lagent: Apache-2.0, agent-lightning: MIT).
- Where can I find alternatives to lagent or agent-lightning?
- GraphCanon lists graph-backed alternatives at lagent alternatives and agent-lightning alternatives (lagent markdown twin, agent-lightning 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, lagent or agent-lightning?
- lagent: Active. agent-lightning: 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 agent-lightning?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lagent trust report; agent-lightning trust report.