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

Open-source infrastructure for AI agents — each gets an email address, folder, inbox, and API key. Move files through named inboxes instead of shared cloud credentials; signed receipts and MCP built in. Human email verification can unlock 5 GB transfers, durable storage, outbound email, and an HTTPS app subdomain. One Go binary, MIT.

Deterministic safety solutions for probabilistic AI agents

Prompt packs that make any AI agent a LaTeX expert — fix errors, polish writing, format for venues, read papers, recover source

Connect AI agents across any network — zero config, encrypted, skill-based routing

Tamper-evident integrity monitor for the MCP config & server files your local AI agents load.

Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.

A free, open-source coding agent inside VS Code.

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

Remote approvals, policy checks, and execution evidence for unattended AI agents.

A browser runtime that lets AI agents control your real Chrome browser via MCP. Agents can explore websites, generate operation manuals, and reuse them to save tokens. AI操控你的真实浏览器。

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows

MCP Playbooks for AI agents

AI agent skills for social media content strategy, creation, and analysis across text-first platforms

Eclipse IDE as an MCP Server for AI Agents

Write detections, investigate alerts, and query logs from your favorite AI agents

Supercharge your AI agents by versioning, tracking, and merging overlapping skills.

MCP server providing kanban-based task management memory for complex multi-session workflows with AI agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.

A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.

Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.