Unlock the Power of Local AI Agents with C++
Dive into the world of local agents using our C++ library, designed specifically for running small language models with llama.cpp. Enhance your AI projects with these foundational building blocks:
- Context Engineering: Utilize callbacks for smooth operations between agent iterations.
- Memory Management: Store and retrieve essential information across dialogues effortlessly.
- Multi-Agent Systems: Create advanced networks where a main agent delegates tasks to specialized sub-agents.
- Shell Interactions: Enable agents to write shell scripts for complex actions, showcasing human-in-the-loop capabilities.
- Traceability: Implement callbacks with OpenTelemetry for step-by-step tracking of agent activities.
Ensure your model is configured for optimal performance by downloading the GGUF model and adapting parameters to your specific use case.
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