Hey

I want to be straight with you. I built this because I was genuinely frustrated.

Every time I needed an AI tool for something specific — writing, editing images, transcribing audio, generating code — I would spend 20 minutes Googling, clicking through listicles with 47 ads, landing on tools that shut down 8 months ago, or paying for something I used once.

So I spent the last 1 week building https://brofindai.com

It is a dark mode directory of 500+ AI tools. No ads. No sponsored garbage pushed to the top. Just tools organized by what they actually do.

Here is what it does right now:

Search anything. Type "remove background" or "write cold emails" or "generate music" and it finds tools that do exactly that.

Filter by pricing. If you only want free tools, one click. If you are okay paying, filter for that. No more clicking into a tool and discovering the free plan does nothing.

Filter by category. Writing, Coding, Image Generation, Video, Audio, SEO, Research, Productivity and more.

Bookmark tools. Sign in with Google, save tools you want to try later. No more 47 open browser tabs.

Upvote tools. The community surfaces what actually works instead of what paid to be featured.

Here is what I want from you.

Tell me what is broken. Tell me what category is empty that should not be. Tell me which tool you use every single day that is not in there. Tell me if the search sucks. Tell me if it is slow.

I would rather get 10 pieces of brutal honest feedback today than find out in 3 months that nobody came back after their first visit.

If you have built an AI tool yourself and want to be listed, drop it in the comments. I am adding indie built tools for free right now.

https://brofindai.com

This one is for all the broke college CS students out there <3

If you're like me, you don't want to pay $20 a month for claude code :(

It's an amazing tool I love, but a recurring expense is the last thing I need. That's why I find myself jumping from tool to tool, using the daily or monthly free tier limits and constantly having to find new free tools.

That's where "AI For Brokies" comes in. Just a simple github repo with a readme file of some free AI tools you can use for building :)

https://github.com/Joe-Huber/AI-For-Brokies

The actual building behind this project was mostly the automatic tool adder, following an issue format! If you want to see it in action, please drop an issue explaining a tool you use and see the bot do it's magic!

Please feel free to leave a star! ⭐️ (pretty please) You can use it to save the list of tools for whenever you run out of credits!

I've been building this repo public since day one, roughly 7 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.

You don't need 11 agents to get value. One agent on one project with persistent memory is already a different experience. Come back the next day, say hi, and it knows what you were working on, what broke, what the plan was. No re-explaining. That alone is worth the install.

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, 4,000+ tests, 400+ PRs (I know), automated quality checks across every branch. Works with Claude Code, Codex, and Gemini CLI. It's on PyPI. Tonight I created a fresh test project, spun up 3 agents, and had them test every service from a real user's perspective - email between agents, plan creation, memory writes, vector search, git commits. Most things just worked. The bugs I found were about the framework not monitoring external projects the same way it monitors itself. Exactly the kind of stuff you only catch by eating your own dogfood.

Recent addition I'm pretty happy with: watchdog. When you dispatch work to an agent, you used to just... hope it finished. Now watchdog monitors the agent's process and wakes you when it's done - whether it succeeded, crashed, or silently exited without finishing. It's the difference between babysitting your agents and actually trusting them to work while you do something else. 5 handlers, 130 tests, replaced a hacky bash one-liner.

Coming soon: an onboarding agent that walks new users through setup interactively - system checks, first agent creation, guided tour. It's feature-complete, just in final testing. Also working on automated README updates so agents keep their own docs current without being told.

I'm a solo dev but every PR is human-AI collaboration - the agents help build and maintain themselves. 105 sessions in and the framework is basically its own best test case.

https://github.com/AIOSAI/AIPass

Just sharing a fun workflow I tried today with GPT-5.5 and Hyper3D.ai. I used BANG to Parts to prep the 3D asset, then used Codex to turn it into a simple playable webpage.

I honestly expected a lot more manual work, but it came together pretty fast. Still a small prototype, but really fun to experiment with.