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Show HN: Ink – Deploy full-stack apps from AI agents via MCP or Skills (31 pts)
Show HN: Ink – Deploy full-stack apps from AI agents via MCP or Skills (31 pts)
Hi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans.
We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly.
The agent calls "deploy" and the platform auto-detects the framework, builds it, deploys it, and returns a live URL at *.ml.ink. Here's a demo with Claude Code: https://www.youtube.com/watch?v=F6ZM_RrIaC0.
What Ink does that I haven't seen elsewhere:
- One agent skill for compute + databases + DNS + secrets + domains + usage + metrics + logs + scaling. The agent doesn't juggle separate providers — one account, one auth, one set of tools.
- DNS zone delegation. Delegate a zone once (e.g. dev.acme.com) and agents create any subdomain instantly — no manual adding DNS records each time, no propagation wait.
- Multiple agents and humans share one workspace and collaborate on projects. I envision a future where many agents collaborate together. I'm working on a cool demo to share.
- Built-in git hosting. Agents push code and deploy without the human setting up GitHub first. No external account needed. (Of course if you're a developer you can store code on GitHub — that's the recommended pattern.)
You also have what you'd expect: - UI with service observability designed for humans (logs, metrics, DNS). - GitHub integration — push triggers auto-redeploy. - Per-minute billing for CPU, memory, and egress. No per-seat, no per-agent. - Error responses designed for LLMs. Structured reason codes with suggested next actions, not raw stack traces. When a deploy fails the agent reads the log, fixes it, and redeploys autonomously.
Try: https://ml.ink Free $2 trial credits, no credit card. In case you want to try further here's 20% code "GOODFORTUNE".
출처: https://ml.ink/
Show HN: GitAgent – An open standard that turns any Git repo into an AI agent (1
Show HN: GitAgent – An open standard that turns any Git repo into an AI agent (1
We built GitAgent because we kept seeing the same problem: every agent framework defines agents differently, and switching frameworks means rewriting everything.
GitAgent is a spec that defines an AI agent as files in a git repo.
Three core files — agent.yaml (config), SOUL.md (personality/instructions), and SKILL.md (capabilities) — and you get a portable agent definition that exports to Claude Code, OpenAI Agents SDK, CrewAI, Google ADK, LangChain, and others.
What you get for free by being git-native:
1. Version control for agent behavior (roll back a bad prompt like you'd revert a bad commit) 2. Branching for environment promotion (dev → staging → main) 3. Human-in-the-loop via PRs (agent learns a skill → opens a branch → human reviews before merge) 4. Audit trail via git blame and git diff 5. Agent forking and remixing (fork a public agent, customize it, PR improvements back) 6. CI/CD with GitAgent validate in GitHub Actions
The CLI lets you run any agent repo directly:
npx @open-gitagent/gitagent run -r https://github.com/user/agent -a claude
The compliance layer is optional, but there if you need it — risk tiers, regulatory mappings (FINRA, SEC, SR 11-7), and audit reports via GitAgent audit.
Spec is at https://gitagent.sh, code is on GitHub.
Would love feedback on the schema design and what adapters people would want next.
출처: https://www.gitagent.sh/
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