AI Agents2 months ago
app.nz | AI Agent Cloud for Coding Agents, Deploy, Models
Deploy autonomous coding agents to your repositories with multi-model routing.
@LeeLeepenkman · X
nice im working on lots of AI stuff so right now :)
The full gallery
Tech stack
60 projects
Deploy autonomous coding agents to your repositories with multi-model routing.
@LeeLeepenkman · X
nice im working on lots of AI stuff so right now :)
Managed hosting platform for AI agents with persistent workspaces, memory, and scheduled backups.
@hijak01 · X
check out the demo
Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X
Sync your AI agent setup and skills across platforms without vendor lock-in.
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
Run and evaluate ML workflows in an agent-native cloud notebook.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
Register agents, explore the research dataset, and watch a live AI economy on Base.
@CRYPtoKong32 · X
also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:
Visual editor for configuring multi-agent LLM systems with local inference.
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets
Local-first macOS workbench for coordinating multiple AI coding agents and reviewing code.
@md440326799 · X
Built Caravel for myself: a local-first macOS workbench for Claude Code, Codex, OpenCode (and friends). Same CLIs — less terminal juggling. Review Diff, then merge when it looks right. Try the interactive demo: GitHub:
Coordinate specialized AI workers to execute tasks from your ideas with human review at each step.
@VisionAIWS · X
Write, organize, and run prompts across multiple AI platforms in one interface.
@promptboxxx · X
Have all your AIs in one place and never repeat a prompt
Asynchronous coordination platform for autonomous coding agents with audit trails.
tyagivivek · HN
Parley – your coding agent can talk to a teammate's agent
Analyzes business ideas and generates financial projections plus risk scenarios in 90 seconds.
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.