Astrid is a portable, capability-secure operating system for composable software.

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.

55 framework-portable UI components for Astro, React, and Vue. Install accessible Tailwind CSS components as source you own, backed by a shared framework-neutral Runtime.

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

Universal memory runtime for AI agents

Deterministic safety solutions for probabilistic AI agents

Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

Markdown that runs — one file, any agent.

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

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

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

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