#agentic-ai

Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI

AxonFlow: Runtime control layer for production AI

Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

AI Kanban & Development Environment. Orchestrate multiple agents, review changes, open PRs. Multi-provider, self-hostable, no telemetry.

Ship features 10x faster. Built In Auto: Memory, K8S Agent & Security (SDD+SDLC) . 😇

Lifecycle Management for Agent Skills

open-source CLI written in Go for translating apps, website and content with AI

open-source CLI written in Go for translating apps, website and content with AI

Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..

The Coordination Layer for Multi-Agent AI

The Agentuity Platform (SDK, tools and runtime)

Get your agents talking. A hosted messaging store + router with fast retrieval. Useful for orchestrating agents.

The .NET library to build AI agents with 30+ built-in connectors.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

The Ruby framework for programming—rather than prompting—language models.

One source of truth for AI agents, skills, rules, and hooks. Transpile to every AI CLI you use.

An AI SDK for building agents and tools in Laravel applications

Receipt Required for AI agents — no receipt, no irreversible action. An open, offline-verifiable authorization-receipt protocol: a named human signs the exact high-risk action (payment, deploy, delete, permissions) before it runs, and anyone can verify it later, trusting no one. Apache-2.0 · formally verified · IETF Internet-Drafts.

an MCP server that interacts with SAP via the Desktop and/or Web GUI

A command-line tool that injects credentials to curl requests to known public APIs.

540 security tests for AI agent systems — MCP, A2A, x402/L402, decision governance, benchmark integrity, skill supply chain. AIUC-1 pre-cert, NIST AI 800-2 aligned, MCP tool-poisoning reproduction. v4.9.1