agentlego
VerifiedOpen-source toolkit adding multimodal tools to LLM agents.
What is agentlego?
AgentLego is a library that equips LLM agents with practical tools spanning image understanding, audio conversion, object detection, and basic calculation. The project emphasizes a uniform calling pattern so developers can swap or add tools without rewriting agent logic.
Tools run either on the local machine or through a remote server, which helps when models need GPUs or special runtimes. Integration examples exist for Lagent, Transformers Agents, and similar frameworks, allowing agents to call these functions during reasoning.
The library targets researchers and developers who want to prototype multimodal agents quickly without building every capability from scratch.
What you can build with agentlego
Image captioning in chat agents
Load an image description tool so an agent can answer questions about uploaded photos during a conversation.
Voice-enabled workflows
Combine speech-to-text and text-to-speech tools to let agents handle spoken input and produce audio replies.
Object search in visual tasks
Use detection and segmentation tools to locate and isolate specific items described in natural language prompts.
Install agentlego
pip install agentlegopip install agentlego- 1Run pip install agentlego to add the core package.
- 2Review the chosen tool's readme and install any extra model dependencies listed there.
- 3Import list_tools and load_tool from agentlego, then call list_tools to see available options.
- 4Create a tool instance with load_tool, passing the name and device setting such as cuda.
- 5Pass inputs directly to the tool object or connect it to an agent framework for automated use.
agentlego: pros & cons
Pros
- +Broad selection of vision and speech tools ready for agents
- +Consistent interface that supports custom extensions
- +Remote serving option for heavy models
- +Examples for several common agent frameworks
Cons
- –Many tools need separate model installations
- –Documentation for each tool is spread across individual readmes
- –Remote access setup requires additional configuration
Frequently asked questions
Some tools run on CPU, but most vision and speech models perform best with CUDA support.
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