Tools tagged with "Python"

Scale AI workloads with Ray. Distributed training, fine-tuning, and inference for agent applications.

Add persistent memory to AI agents. User, session, and organizational memory for personalized experiences.

Stanford framework for algorithmically optimizing LM prompts and weights. Moves beyond manual prompt engineering.

Extract and transform unstructured data (PDFs, images, HTML) into clean data for RAG pipelines.

Library for getting structured, validated data from LLMs. Built on Pydantic for type-safe agent outputs.

Production-grade framework for building text and voice assistants. On-premise deployment for data privacy.

Multi-agent framework using role-playing for autonomous cooperation between AI agents. Research-oriented.

Developer-first framework for building, managing, and running autonomous AI agents with a marketplace of tools.

Lightweight autonomous agent that creates, prioritizes, and executes tasks using LLMs.

OpenAI's open-source speech recognition model. Multilingual transcription for voice agent pipelines.

Call any LLM provider using the OpenAI format. Proxy server for load balancing and cost tracking.

Framework for building agents with persistent memory. Formerly MemGPT. Unlimited context via memory management.

Connect custom data sources to large language models. Best for RAG and knowledge-intensive agent applications.

Assigns different roles (product manager, architect, engineer) to AI agents for collaborative software development.

Open-source framework by deepset for building production-ready NLP and RAG pipelines.

Simple, developer-friendly embedding database. Great for prototyping RAG agents.

Python-based workflow orchestration for data and ML pipelines. Great for agent pipeline scheduling.

Google's framework for building AI agents with Gemini models. Supports multi-agent orchestration.

High-performance framework for building multi-modal AI agents with built-in memory and tool use.

Minimalist agent library from Hugging Face for building code-executing AI agents.

Framework for building LLM applications via multi-agent conversation. Supports diverse conversation patterns.

250+ tool integrations for AI agents. Connect agents to GitHub, Slack, Salesforce, and more.

Graph-based orchestration for LLM applications. Cyclical computation, built-in persistence.

OpenAI's framework for building multi-agent workflows with handoffs, guardrails, and tracing.

Multi-agent framework where AI agents work together as a crew, each with defined roles and goals.

The most popular framework for building LLM-powered applications with chains, agents, and retrieval.

Type-safe AI agent framework built on Pydantic. Strong validation and structured outputs.

Serverless cloud for AI/ML workloads. Run agent inference and batch jobs at scale.

Industry-standard workflow orchestrator. Schedule and monitor AI agent data pipelines.

Framework for building autonomous AI assistants with long-term memory and tool use capabilities.

Anthropic's official SDK for building AI agents powered by Claude models.