Comparison
litgpt vs agent-lightning
Verdict
Pick litgpt if litGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment; 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 · litgpt alternatives · agent-lightning alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | litgpt | agent-lightning |
|---|---|---|
| Maintenance | Active (17d since push) As of 1w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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
- litgpt
- High-performance LLMs with recipes for pretraining, finetuning and deployment
- agent-lightning
- The absolute trainer to light up AI agents
Stars
- litgpt
- 14k
- agent-lightning
- 18k
Forks
- litgpt
- 1.5k
- agent-lightning
- 1.5k
Open issues
- litgpt
- 272
- agent-lightning
- 156
Language
- litgpt
- Python
- agent-lightning
- Python
Adopt for
- litgpt
- LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment.
- agent-lightning
- Detailed examination of agent-lightning reveals its strong points in model training, specifically its support for reinforcement learning and MLOps.
Persona
- litgpt
- -
- agent-lightning
- -
Runtime
- litgpt
- -
- agent-lightning
- -
License
- litgpt
- LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification.
- agent-lightning
- MIT
Last pushed
- litgpt
- Jul 20, 2026
- agent-lightning
- Aug 19, 2026
Categories
- litgpt
- Inference & Serving, LLM Frameworks, Model Training
- agent-lightning
- AI Agents, Model Training
Trust and health
Maintenance
- litgpt
- Active (82%)
- agent-lightning
- Very active (96%)
Days since push
- litgpt
- 17d
- agent-lightning
- 0d
Open issues (now)
- litgpt
- 272
- agent-lightning
- 156
Stars delta
- litgpt
- +137 (30d)
- agent-lightning
- +104 (30d)
Open issues delta
- litgpt
- +6 (30d)
- agent-lightning
- +3 (30d)
Full report
- litgpt
- Trust report
- agent-lightning
- Trust report
Choose litgpt if…
- License: litgpt is Apache-2.0, agent-lightning is MIT.
- Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models..
- Requirements: Min 16 GB RAM.
- Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large language models.
- Also covers Inference & Serving, LLM Frameworks.
- If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.
When NOT to use litgpt
- If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources.
- When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.
Choose agent-lightning if…
- License: agent-lightning is MIT, litgpt is Apache-2.0.
- Tags unique to agent-lightning: agent, agentic-ai, llm, mlops.
- Also covers AI Agents.
- 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 (Lightning-AI/litgpt) · observed Aug 7, 2026
- GitHub forks (Lightning-AI/litgpt) · observed Aug 7, 2026
- Last push (Lightning-AI/litgpt) · observed Jul 20, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 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: litgpt 14k · agent-lightning 18k (synced Aug 7, 2026).
Common questions
- What is the difference between litgpt and agent-lightning?
- litgpt: High-performance LLMs with recipes for pretraining, finetuning and deployment. 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 litgpt over agent-lightning?
- Choose litgpt over agent-lightning when License: litgpt is Apache-2.0, agent-lightning is MIT; Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.; Requirements: Min 16 GB RAM; Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large language models; Also covers Inference & Serving, LLM Frameworks; If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.
- When should I choose agent-lightning over litgpt?
- Choose agent-lightning over litgpt when License: agent-lightning is MIT, litgpt is Apache-2.0; Tags unique to agent-lightning: agent, agentic-ai, llm, mlops; Also covers AI Agents; 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 litgpt?
- If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.
- 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 litgpt or agent-lightning more popular on GitHub?
- agent-lightning has more GitHub stars (17,500 vs 13,605). Stars measure visibility, not whether either tool fits your constraints.
- Are litgpt and agent-lightning open source?
- Yes - both are open-source projects on GitHub (litgpt: Apache-2.0, agent-lightning: MIT).
- Where can I find alternatives to litgpt or agent-lightning?
- GraphCanon lists graph-backed alternatives at litgpt alternatives and agent-lightning alternatives (litgpt 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, litgpt or agent-lightning?
- litgpt: 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 litgpt and agent-lightning?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litgpt trust report; agent-lightning trust report.