Been building a multi-agent framework in public for 5 weeks, its been a Journey.

April 13, 2026

1:10

Been building a multi-agent framework in public for 5 weeks, its been a Journey.

Here’s something that caught my attention — building multi-agent AI frameworks in public is happening faster than I expected. According to /u/Input-X, over five weeks they've developed AIPass, a CLI tool where AI agents share memory, identity, and workspace — no sandboxing, no isolation. This means agents can see what others just built, communicate via local mailboxes, and team up or work solo on anything from projects to hobbies. Unlike typical multi-agent setups that isolate each bot, AIPass creates a true team environment. As /u/Input-X points out, the magic is in the shared JSON files and collaborative workspace, making it easy to scale from a single helper to dozens of agents — imagine a fleet building a rocket to Mars. Now, it’s tested with Claude Code, Codex, and Gemini, with thousands of tests and ongoing bug hunts. The big idea? Even solo devs can have AI agents that help build and maintain themselves, blurring the line between human and machine collaboration. The takeaway is simple: the future belongs to adaptable, shared-AI ecosystems, not isolated silos.

I've been building this repo public since day one, roughly 5 weeks now with Claude Code. Here's where it's at. Feels good to be so close.

The short version: AIPass is a local CLI framework where AI agents have persistent identity, memory, and communication. They share the same filesystem, same project, same files - no sandboxes, no isolation. pip install aipass, run two commands, and your agent picks up where it left off tomorrow.

What I was actually trying to solve: AI already remembers things now - some setups are good, some are trash. That part's handled. What wasn't handled was me being the coordinator between multiple agents - copying context between tools, keeping track of who's doing what, manually dispatching work. I was the glue holding the workflow together. Most multi-agent frameworks run agents in parallel, but they isolate every agent in its own sandbox. One agent can't see what another just built. That's not a team.

That's a room full of people wearing headphones.

So the core idea: agents get identity files, session history, and collaboration patterns - three JSON files in a .trinity/ directory. Plain text, git diff-able, no database. But the real thing is they share the workspace. One agent sees what another just committed. They message each other through local mailboxes. Work as a team, or alone. Have just one agent helping you on a project, party plan, journal, hobby, school work, dev work - literally anything you can think of. Or go big, 50 agents building a rocketship to Mars lol. Sup Elon.

There's a command router (drone) so one command reaches any agent.

pip install aipass

aipass init

aipass init agent my-agent

cd my-agent

claude # codex or gemini too, mostly claude code tested rn

Where it's at now: 11 agents, 3,500+ tests, 185+ PRs (too many lol), automated quality checks. Works with Claude Code, Codex, and Gemini CLI. Others will come later. It's on PyPI. The core has been solid for a while - right now I'm in the phase where I'm testing it, ironing out bugs by running a separate project (a brand studio) that uses AIPass infrastructure remotely, and finding all the cross-project edge cases. That's where the interesting bugs live.

I'm a solo dev but every PR is human-AI collaboration - the agents help build and maintain themselves. 90 sessions in and the framework is basically its own best test case.

https://github.com/AIOSAI/AIPass

submitted by /u/Input-X
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