The short version: - Agents are compiled containerized autonomous go binaries - They use normal code for deterministic/repeated work and call AI when needed - They can be interacted with via chat, web, cron, webhooks - They can upgrade themselves through Airlock api call to generate new tools/fix errors - Airlock manages OAuth, storage, sandboxing, web UI and bridges to telegram/discord

Example: Tell agent "I want to edit Google Sheets" -> Airlock generates integration code, handles OAuth, stores tokens securely and gives you a chat interface Tell it "I want a webpage where I can upload picture of my food so you write calories to the spreadsheet" -> Airlock will upgrade the agent to give you a webpage with a picture upload form. Webpage is rendered from inside the agent.

<bio> Hello HN! I wanted to share a personal project I've been working on for quite a while. But first - a little bit about myself. I am 32yo, backend software engineer with more than 12 years of experience. I got taught some very basic C and Assembly in school and then Left 4 Dead came out. In order to host L4D game servers I learned how to Linux and how to write actual working code (sourcepawn), then I switched to Minecraft hosting/modding and then I had to focus on Uni. I have spent some time working in enterprises as well as in startups. I worked as a backend engineer, system analyst, system architect, PM, ... I even tried to make a MedTech startup as a cofounder (I was doing only the IT part and we got no traction). And about 2 years ago I decided I want to try to do something by myself. I switched to freelance but I always wanted to actually make something of my own and then show it to everyone.

About a year ago I started working on something personal. I first started with an MCP gateway, pivoted to a company's agentic slack-like platform and then finally switched to my current project. In order to build it I had to implement an AI thinking loop. I could use ready libraries but I wanted go and I needed a coding harness like loop. So I decided to port some parts from opencode to go. And since opencode requires vercel/ai-sdk I had to port that as well.

So in the last ~4 months I ported vercel/ai-sdk -> airlockrun/goai ported opencode -> sol Verified the thinking loop by recording opencode<->LLM interaction and replaying it on the ported code. Then built the Airlock system - agentsdk as a library for agents, airlock as a platform to create, evolve and run these agents. </bio>

<current state and roadmap> This is an alpha version and bugs are expected even after my thorough testing. You can check out the quick local deployment but you will be missing some features and Agent<->LLM interaction will be degraded. If you have a VPS and a domain - this is the recommended way to run it. Look at the readme, its literally git clone ... && git checkout ... && cp .env.local.example .env && docker compose -f docker-compose.yml -f docker-compose.local.yml up -d

In the near future I will be adding agent-to-agent calls, exposing self-coded tools as MCP server, improve self-upgrade times and webpage styling, remote agents, etc. </current state and roadmap>

In any case, thank you for reading, I really hope you check out the project and give some feedback.