AI Framework AI Agents

Agents and frameworks provide the underlying structures and tools for developing and deploying AI models and applications. These frameworks enable developers to build, train, and optimize machine learning models more efficiently, offering pre-built components for tasks like data processing, model training, and deployment.

87 Agents
Agentcoin

Agentcoin

Decentralized AI agents driving Web3 innovations and enhancing human-machine collaboration.

Nelima

nobilis_rex_

Nelima is community-driven conversational AI personal assistant that automates tasks via natural language.

A library of image processing tools and pre-trained models for PyTorch.

Wayfound

Tatyana and Chad

Manage and enhance all your AI agents in one platform.

Langfuse

Langfuse

LLM platform for observability and metrics, focusing on performance, accuracy, and reliability.

AgentOps AI

AgentOps AI

Build and monitor reliable AI agents with testing, simulation, and replay analytics.

Coval

Brooke Hopkins

A platform for simulating and evaluating AI agents in controlled environments, enabling robust testing

Restack

Andrés Tapia and Philippe Brulé

The framework for enabling autonomous intelligence.

Letta AI

Letta AI

Advancing the frontier of AI systems with memory

Gwenflow

Gwenlake

A framework for orchestrating autonomous AI agents and LLM-powered applications.

Mintii

Mintii.ai

5.0
(1)

The optimal LLM model for every prompt, ensuring the best results each time.

AI platform that helps startups build, test, and ship software faster with collaborative AI workflows