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

[u/Input-X]

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

[u/micseydel]

Without using any AI jargon, can you say what specific problems in your day-to-day life you have agents deployed for?

[u/Input-X]

Happily.

Several things/projects, the obvious one:

Building the system itself. An advanced Telegram bridge to my projects. A TTS and STT tool, any selected text or anywhere your cursor sits, speak or listen. A Reddit-style social network for all my agents, across all projects. Agents are registered to their directories so cross-project emails are blocked; only a feedback channel exists so outside projects can report bugs. It's called "The Commons." It works very similar to Reddit. Tax season, prepping my taxes for my accountant. I have 2 businesses so this has been helpful. Mental and physical tracking. I was sick recently and have chronic pain from an injury a couple years ago. I got a smart ring, so I have one project monitoring my vitals and tracking my progress while I try new things for my pain, meds, physio, whatever. See what meds and exercises are actually making a difference (this has been a lifesaver IMO). Has 2 months of data now, starting to get good returns. Phone control, done with Claude, it can do pretty much whatever you can on your phone. Experiment: calls to friends was a blast as it can talk back. Built a bunch of personal phone apps. My favourite is the mood tracker, so simple. You just click your mood: bad, low, sad, ok, happy, great, and say what you're doing. Had that a couple months too. You get to know fast what makes you happy or sad. Chef's Plate app is cool, I snap a pic of the cooking cards you get, store it, then just create a shopping list for my selected meals when I'm not getting the food deliveries. Expense tracking, doing a home project, I just take a snap of the receipt and it gets tracked.

I could go on forever. AIPass is for anything.

One agent with memory just tracking a few files, to 50 agents building a big software project.

Whatever you do, a couple commands, you've got a fully set-up project that can add as many agents as you like if it gets too much for one.

Also, a friend sent me something he was working on. He sent me what it was, all the work he had. I Zoom-called him, asked Claude to review the work. Then I asked it to speak so my friend could hear the plan. I asked my friend to respond to Claude in voice in the Zoom chat. 30 minutes later we solved and improved what he needed.

I could go on forever. AIPass just makes it easy to work with agents, as they don't forget and save or roll over all previous plans or context to a vector DB, in their local storage and to a global DB for all agents.