Comparison
lagent vs OmAgent
Verdict
Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick OmAgent if omAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Markdown twin · lagent alternatives · OmAgent alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | lagent | OmAgent |
|---|---|---|
| Maintenance | Active (12d since push) As of Aug 16, 2026 · github_public_v1 | Dormant (545d since push) As of Sep 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- OmAgent
- Build multimodal language agents for fast prototype and production
Stars
- lagent
- 2.3k
- OmAgent
- 2.7k
Forks
- lagent
- 238
- OmAgent
- 292
Open issues
- lagent
- 24
- OmAgent
- 21
Language
- lagent
- Python
- OmAgent
- Python
Adopt for
- lagent
- lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
- OmAgent
- OmAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Persona
- lagent
- -
- OmAgent
- -
Runtime
- lagent
- -
- OmAgent
- -
License
- lagent
- lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
- OmAgent
- Apache-2.0
Last pushed
- lagent
- Aug 3, 2026
- OmAgent
- Mar 19, 2025
Categories
- lagent
- AI Agents, LLM Frameworks
- OmAgent
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- lagent
- Active (82%)
- OmAgent
- Dormant (18%)
Days since push
- lagent
- 12d
- OmAgent
- 545d
Open issues (now)
- lagent
- 24
- OmAgent
- 21
Stars delta
- lagent
- +8 (30d)
- OmAgent
- +2 (30d)
Open issues delta
- lagent
- +1 (30d)
- OmAgent
- 0 (30d)
Full report
- lagent
- Trust report
- OmAgent
- Trust report
Shared compatibility
- Python · lagent: Python runtime · OmAgent: Python runtime
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: 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 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 OmAgent if…
- Requirements: Requires Python >= 3.10.
- Tags unique to OmAgent: chatbot, gemini, llama, multimodal-agent.
- Use OmAgent if you are prototyping scenarios involving smart hardware and multimodal workflows.
When NOT to use OmAgent
- Avoid using OmAgent if your project does not require support for multimodal models or specific integrations with GPT, Gemini, LLaMA, and LLAVA.
- If a lightweight solution is required and advanced multimodal features are unnecessary, another tool might be more suited.
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 Sep 20, 2026
- GitHub forks (InternLM/lagent) · observed Sep 20, 2026
- Last push (InternLM/lagent) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (om-ai-lab/OmAgent) · observed Sep 20, 2026
- GitHub forks (om-ai-lab/OmAgent) · observed Sep 20, 2026
- Last push (om-ai-lab/OmAgent) · observed Mar 19, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: lagent 2.3k · OmAgent 2.7k (synced Sep 20, 2026).
Common questions
- What is the difference between lagent and OmAgent?
- lagent: A lightweight framework for building LLM-based agents. OmAgent: Build multimodal language agents for fast prototype and production. See the comparison table for live GitHub stats and shared categories.
- When should I choose lagent over OmAgent?
- Choose lagent over OmAgent when Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: 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 OmAgent over lagent?
- Choose OmAgent over lagent when Requirements: Requires Python >= 3.10; Tags unique to OmAgent: chatbot, gemini, llama, multimodal-agent; Use OmAgent if you are prototyping scenarios involving smart hardware and multimodal workflows.
- 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 OmAgent?
- Avoid using OmAgent if your project does not require support for multimodal models or specific integrations with GPT, Gemini, LLaMA, and LLAVA. If a lightweight solution is required and advanced multimodal features are unnecessary, another tool might be more suited.
- Is lagent or OmAgent more popular on GitHub?
- OmAgent has more GitHub stars (2,667 vs 2,276). Stars measure visibility, not whether either tool fits your constraints.
- Are lagent and OmAgent open source?
- Yes - both are open-source projects on GitHub (lagent: Apache-2.0, OmAgent: Apache-2.0).
- Where can I find alternatives to lagent or OmAgent?
- GraphCanon lists graph-backed alternatives at lagent alternatives and OmAgent alternatives (lagent markdown twin, OmAgent 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 OmAgent?
- lagent: Active. OmAgent: Dormant. 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 OmAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lagent trust report; OmAgent trust report.