“OpenRouter”

Kotlin and Java framework for AI agents with tools, graph workflows, MCP, streaming and multiplatform targets.

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

Framework for developing, evaluating and benchmarking web agents on BrowserGym benchmarks, with parallel runs through Ray.

TypeScript SDK for streaming chat, tool-calling agents and structured output across model providers and UI frameworks.

Rails framework for building AI agents as controllers, with provider gems for OpenAI, Anthropic, Ollama and more.

Browser infrastructure for AI agents: local and cloud Playwright-based browser sessions, scraping and deployable browser functions.

Python framework for real-time voice and vision agents that process video with pluggable models and processors over WebRTC.

Rust multi-agent framework with typed tool calling, sliding-window memory, pluggable LLM backends and OpenTelemetry tracing.

Python platform that gives agents a cryptographic identity, A2A communication and x402 payment requirements behind one bindufy() call.

Open-source framework that builds, evaluates and self-improves multi-agent LLM workflows from a goal.

PyTorch-style Python framework for multi-agent, multi-session workflows, with a durable production runtime in v2.0.0.