Agentic framework for complex task automation
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AgentChain orchestrates multiple Large Language Models (LLMs) and specialized agents to tackle complex, multimodal tasks. It's designed for developers and researchers needing to build sophisticated applications that can process and generate text, images, and audio, enabling advanced reasoning and task automation.
How It Works
AgentChain employs an LLM as a central "brain" for planning and decision-making, driven by natural language inputs. It achieves task completion by composing and orchestrating a diverse set of specialized agents, including those for web searching, communication (email, calls), tool execution (Python REPL, math), and multimodal processing (image generation, audio transcription). This modular, agent-based architecture allows for flexible customization and the ability to chain agents hierarchically for complex workflows.
Quick Start & Requirements
pip install -r requirements.txt
.ffmpeg
for audio processing.Highlighted Details
Maintenance & Community
The project acknowledges contributions from Hugging Face, LangChain, and others. Community links or roadmaps are not explicitly provided in the README.
Licensing & Compatibility
The repository does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.
Limitations & Caveats
The project requires significant GPU memory (29 GB) for full operation, though capabilities can be reduced by commenting out models. Several API keys are mandatory for core functionalities, and video processing is listed as "coming soon."
2 years ago
1 week