A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.

A test runner for agentskills.io-style AI agent skills

CTX - Context Runtime Engine for Coding Agents

Orchestrate AI coding agents (Claude Code, Codex) as parallel subagents over tmux — a loop-engineering runtime with auto-continue, execute-then-review, and cross-session memory.

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.

🔂 Ralph loop with PRs: Run Claude Code in a continuous loop, autonomously creating PRs, waiting for checks, and merging

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

Collective intelligence runtime for AI agents. Knowledge graph + persistent memory.

A lightweight macOS menu bar application that monitors and manages Claude Code instances in real-time. Keep track of multiple Claude sessions, their resource usage, and running processes - all from your menu bar.

🦭 Run and operate MariaDB in a cloud native way

Open-Source Platform for Subagents and Agent Teams. Long-running, collaborative, proactive.

A curated collection of ready-to-run automation prompts for real-world workflows.

Deterministic safety solutions for probabilistic AI agents

the runtime your coding agents live on

ClawGod is a runtime patch applied to the official Claude Code. It continues to be supported with each version update.

An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.

Universal skill installer and package manager for AI coding agents. One command, 12+ runtimes. npx ai-agent-skills

Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.

A dashboard for running and coordinating multiple AI CLI agents at once.

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns token-efficient Markdown.

Universal memory runtime for AI agents