GraphCanon updated Sep 16, 2026 · GitHub synced Sep 16, 2026
32views this month
Decision brief
OmAgent is a Python library for developing multimodal language agents that supports GPT, Gemini, LLaMA, and LLAVA models.
Good fit when
- Use OmAgent if you are prototyping scenarios involving smart hardware and multimodal workflows.
- For projects leveraging Gradio for user interfaces, OmAgent's integration capabilities can expedite development.
Avoid when
- 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.
- Requirements:
- Requires Python >= 3.10
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (545d since push)
- As of Sep 16, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 16, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install OmAgentSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python library for developing multimodal language agents including modules to integrate GPT, Gemini, LLaMA, and LLAVA models with support for chatbot and smart hardware workflows.
Capability facts
- Languages
- python
Source: github.language · Sep 16, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
🛠️ How To Install python = 3.10 Install omagent core Use pip to install omagent core latest release. Or install the latest version from the source code like below.
For agents
This page has a .md twin and JSON over the API.