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upsonicAI

upsonicAI

  • Free Plan Available
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Task-oriented AI agent framework for digital workers and vertical AI agents

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Qwen Agent

Qwen Agent

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Framework for building LLM applications with Qwen models' advanced capabilities

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AgentForge

AgentForge

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A Python framework for creating, testing, and deploying LLM-powered agents.

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Portia AI

Portia AI

  • Free Plan Available
  • New
9.1
3 Reviews
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Build agents that are predictable, controllable and authenticated. Show more

Portia AI is a cutting-edge application designed to simplify the prediction, monitoring, and steering of agentic behavior. This innovative platform features a powerful planning agent that collaborates with users to create and refine complex, multi-tool plans based on given prompts. Once a plan is ready, execution agents take charge, running the plan while continuously updating its state. Users can set control points to ensure the execution agent seeks human input when necessary, allowing for a seamless integration of human oversight. Additionally, Portia AI boasts a comprehensive tool catalog with built-in authentication, enabling rapid deployment of solutions. With frequent updates and new features on the horizon, Portia AI is committed to enhancing user experience and expanding its capabilities.
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Predictable behavior
Plan execution
Human input checkpoints
Tool catalogue
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NeMo Guardrails

NeMo Guardrails

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Toolkit for adding programmable guardrails to LLM-based conversational AI

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AgentKit

AgentKit

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A TypeScript library to create and orchestrate AI Agents. Show more

AgentKit is an innovative framework designed to simplify the creation and management of AI Agents. Whether you're deploying a single model inference call or orchestrating complex multi-agent systems with tool integrations, AgentKit provides a seamless experience. It empowers developers and researchers to easily prototype, experiment, and deploy AI solutions tailored to their specific needs. With its flexible and modular architecture, users can efficiently build and manage dynamic agent ecosystems that adapt to various tasks and domains. AgentKit is ideal for both beginners and seasoned AI professionals, offering a user-friendly interface and robust functionalities. By integrating cutting-edge technologies and streamlining workflow processes, AgentKit enhances AI development productivity and innovation.
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Ai agents creation
Orchestrate multi-agents
Single model inference
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FloAI

FloAI

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Simple way to create composable AI agents

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Fabrice AI

Fabrice AI

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A lightweight, functional, and composable framework for building AI agents. No PhD required.

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Langroid

Langroid

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Multi-agent programming framework for LLM applications.

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Modelscope-Agent

Modelscope-Agent

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ModelScope-Agent: An agent framework connecting models in ModelScope with the world

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LlamaGym

LlamaGym

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Tool for fine-tuning LLM agents using reinforcement learning

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Agno

Agno

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Build AI agents with Python using a powerful and flexible framework.

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Agent Pilot

Agent Pilot

  • Free Plan Available
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Create, manage, and chat with AI workflows seamlessly

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Momen

Momen

  • Free Plan Available
  • New
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Build and Deploy AI Apps & Agents for Your Business

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Ax

Ax

  • Free Plan Available
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Build LLM powered Agents and "Agentic workflows"

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Thynk Forward

Thynk Forward

  • Free App
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Your business. Smarter. Faster.

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UFO

UFO

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UI-focused multi-agent framework for Windows OS interactions.

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CrewAI

CrewAI

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Platform for Multi AI Agents System for complex task execution.

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DAGent

DAGent

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A framework for building AI agents using Directed Acyclic Graphs (DAGs).

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AutoGen

AutoGen

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An Open-Source Programming Framework for Agentic AI Show more

AutoGen is a cutting-edge open-source framework created by Microsoft Research, designed for the development of next-generation applications leveraging Large Language Models (LLMs). It uniquely supports multi-agent conversations, empowering developers to construct sophisticated AI workflows where multiple specialized agents collaborate seamlessly to tackle complex tasks. The framework streamlines the process of creating LLM-powered applications by offering flexibility in configuring diverse LLM setups, enabling efficient tool usage, and facilitating interactive human-AI dialogues. With AutoGen, developers can easily craft advanced AI systems that are capable of dynamic interaction and problem-solving. This innovative tool is ideal for those looking to explore and extend the potential of LLMs, driving forward the capabilities of AI applications in various domains.
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Multi-agent conversations
Complex ai workflows
Specialized agent collaboration
Llm application development
Human-ai interaction
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