Comparison
LLaMA-Omni vs OmAgent
Verdict
Pick LLaMA-Omni if lLaMA-Omni is a specialized multimodal large language model tailored for enhancing speech interaction capabilities through advanced integration of speech-to-speech and speech-to-text functionalities; pick OmAgent if omAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Markdown twin · LLaMA-Omni alternatives · OmAgent alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | LLaMA-Omni | OmAgent |
|---|---|---|
| Maintenance | Dormant (437d since push) As of 3w · github_public_v1 | Dormant (509d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- LLaMA-Omni
- End-to-end speech interaction model based on Llama-3.1-8B-Instruct
- OmAgent
- Build multimodal language agents for fast prototype and production
Stars
- LLaMA-Omni
- 3.1k
- OmAgent
- 2.7k
Forks
- LLaMA-Omni
- 224
- OmAgent
- 292
Open issues
- LLaMA-Omni
- 52
- OmAgent
- 21
Language
- LLaMA-Omni
- Python
- OmAgent
- Python
Adopt for
- LLaMA-Omni
- LLaMA-Omni is a specialized multimodal large language model tailored for enhancing speech interaction capabilities through advanced integration of speech-to-speech and speech-to-text functionalities.
- OmAgent
- OmAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Persona
- LLaMA-Omni
- -
- OmAgent
- -
Runtime
- LLaMA-Omni
- -
- OmAgent
- -
License
- LLaMA-Omni
- Apache-2.0
- OmAgent
- Apache-2.0
Last pushed
- LLaMA-Omni
- May 19, 2025
- OmAgent
- Mar 19, 2025
Categories
- LLaMA-Omni
- Speech & Audio
- OmAgent
- AI Agents, LLM Frameworks
Trust and health
Days since push
- LLaMA-Omni
- 437d
- OmAgent
- 509d
Open issues (now)
- LLaMA-Omni
- 52
- OmAgent
- 21
Full report
- LLaMA-Omni
- Trust report
- OmAgent
- Trust report
Shared compatibility
- Python · LLaMA-Omni: Python runtime · OmAgent: Python runtime
Choose LLaMA-Omni if…
- Tags unique to LLaMA-Omni: large language models, multimodal-large-language-models, speech-interaction, speech-language-model.
- Also covers Speech & Audio.
- - When targeting low-latency, high-quality end-to-end speech interactions that need to be performed in an academic research environment.
When NOT to use LLaMA-Omni
- - Avoid LLaMA-Omni if your project requires commercial deployment since its usage rights are strictly non-commercial.
- - If real-time interaction constraints are less critical than achieving high-quality speech output, another tool with more flexibility regarding latency and deployment options may be preferable.
Choose OmAgent if…
- Requirements: Requires Python >= 3.10.
- Tags unique to OmAgent: agent, chatbot, gemini, gpt.
- Also covers AI Agents, LLM Frameworks.
- 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 (ictnlp/LLaMA-Omni) · observed Jul 30, 2026
- GitHub forks (ictnlp/LLaMA-Omni) · observed Jul 30, 2026
- Last push (ictnlp/LLaMA-Omni) · observed May 19, 2025
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (om-ai-lab/OmAgent) · observed Aug 10, 2026
- GitHub forks (om-ai-lab/OmAgent) · observed Aug 10, 2026
- Last push (om-ai-lab/OmAgent) · observed Mar 19, 2025
- License file (Apache-2.0) · observed Aug 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: LLaMA-Omni 3.1k · OmAgent 2.7k (synced Jul 30, 2026).
Common questions
- What is the difference between LLaMA-Omni and OmAgent?
- LLaMA-Omni: End-to-end speech interaction model based on Llama-3.1-8B-Instruct. 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 LLaMA-Omni over OmAgent?
- Choose LLaMA-Omni over OmAgent when Tags unique to LLaMA-Omni: large language models, multimodal-large-language-models, speech-interaction, speech-language-model; Also covers Speech & Audio; - When targeting low-latency, high-quality end-to-end speech interactions that need to be performed in an academic research environment.
- When should I choose OmAgent over LLaMA-Omni?
- Choose OmAgent over LLaMA-Omni when Requirements: Requires Python >= 3.10; Tags unique to OmAgent: agent, chatbot, gemini, gpt; Also covers AI Agents, LLM Frameworks; Use OmAgent if you are prototyping scenarios involving smart hardware and multimodal workflows.
- When should I avoid LLaMA-Omni?
- - Avoid LLaMA-Omni if your project requires commercial deployment since its usage rights are strictly non-commercial. - If real-time interaction constraints are less critical than achieving high-quality speech output, another tool with more flexibility regarding latency and deployment options may be preferable.
- 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 LLaMA-Omni or OmAgent more popular on GitHub?
- LLaMA-Omni has more GitHub stars (3,146 vs 2,665). Stars measure visibility, not whether either tool fits your constraints.
- Are LLaMA-Omni and OmAgent open source?
- Yes - both are open-source projects on GitHub (LLaMA-Omni: Apache-2.0, OmAgent: Apache-2.0).
- Where can I find alternatives to LLaMA-Omni or OmAgent?
- GraphCanon lists graph-backed alternatives at LLaMA-Omni alternatives and OmAgent alternatives (LLaMA-Omni 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, LLaMA-Omni or OmAgent?
- LLaMA-Omni: Dormant. 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 LLaMA-Omni and OmAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLaMA-Omni trust report; OmAgent trust report.