Composable agent runtime with enforced isolation boundaries

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.

Deterministic safety solutions for probabilistic AI agents

Build and run agents you can see, understand and trust.

Build resilient agents.

A Lisp with first-class LLM primitives, implemented in Rust

Agent-SDK without CLI dependencies, as an alternative to claude-agent-sdk, completely open source

C# coding-agent harness (.NET 10, Microsoft Agent Framework) — sessions, tools, permissions, providers, MCP, plugins

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

MCP Server Framework and Tool Development library for building custom capabilities into agents.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.