idosal/AgentLLM
AgentLLM is a PoC for browser-native autonomous agents
Large Action Model framework to develop AI Web Agents
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AgentLLM is a PoC for browser-native autonomous agents
Testing and evaluation framework for voice agents
A lightweight framework for building LLM-based agents
A simple yet powerful agent framework that delivers with open-source models
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI