🤖 Specialized Agents: Deploy task-specific AI agents for efficient problem-solving. 🎛️ Flexible Control: Continuously tune the balance of control and autonomy in your workflows. 🕹️ Multi-Agent Orchestration: Coordinate multiple AI agents within a single workflow or task.

The AutoGen ecosystem provides everything you need to create AI agents, especially multi-agent workflows -- framework, developer tools, and applications. The framework uses a layered and extensible design.

A multi-agent workflow that performs information retrieval, data collection and chart plotting (original LangGraph example)

4 天之前 · HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

Agentflow fills the gap between chat and autonomous interfaces: Chat (e.g. ChatGPT) can't run workflows because they're conversational. Autonomous (e.g. Auto-GPT) run them unreliably because they have too much freedom. Agentflow offers a balanced solution: Workflows that LLMs follow step-by-step ...

Agent Workflow Memory (AWM) proposes to induce, integrate, and utilize workflows via an agent memory. A workflow is usually a common sub-routine in solving tasks, with example-specific contexts being abstracted out.

The “Agentic Cookbook for Generative AI Agent usage” is a comprehensive guide designed to empower users with the knowledge and tools to effectively implement and utilize Generative AI Agents within their workflows.

Use Ax and get an end-to-end streaming, multi-modal DSPy framework with agents and typed signatures. Works with all LLMs. Ax is always streaming and handles parsing, validating, error-correcting and function calling all while streaming.

Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder.

Kheish is an open-source, multi-role agent designed for complex tasks that require structured, step-by-step collaboration with Large Language Models (LLMs). Rather than a simple orchestrator, Kheish itself acts as an intelligent agent that can request modules on demand, integrate user feedback, switch between specialized roles (Proposer ...