Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.

A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.

Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.

Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.

A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.

Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

A reusable agent workflow kit with personas, skills, rules, and memory files.

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

Agenta is a workspace where you and your team build agents and automations.

Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.

Local-first runtime for project-scoped AI coding-agent sessions, with durable state, authority boundaries, and multi-harness interoperability.

A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents

Governance standard and reference toolset for LLM-maintained knowledge corpora

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

A practical, no-hype workflow for AI coding agents: context, plan, implement, review, QA, ship, retro. Templates, two Claude Code skills, and a 40% context rule - every claim traced to official docs.

Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have.