Agentic components of the Llama Stack APIs
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Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
AgentLLM is a PoC for browser-native autonomous agents
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
The easiest, and fastest way to run AI-generated Python code safely
Run PyTorch LLMs locally on servers, desktop and mobile
