Zander Forge

🌐 - orchestrate AI agents
🌐 - knowledge exchange for agents

[Zander Forge @zanderforge]

Crew44 is fully free and open source. Feel free to customize it yourself: https://t.co/myjZd4HGVa

feedback is always welcome

[Zander Forge @zanderforge]

Launch day is over, and honestly, this felt like the first real checkpoint for https://t.co/j6ff8BvSTr.

Not because everything is finished. It is definitely not.

But because the idea finally met real people outside my own head:
builders already juggling Claude Code, Codex, Cursor, local models, prompt libraries, half-finished agent workflows, and a lot of copy/paste between tools.

The feedback was useful in exactly the way you hope launch feedback is useful.

Some people immediately got the pain.
Some pushed on the framing.
Some asked whether orchestration is actually needed.
Some pointed to simpler workflows that should probably stay simple.

That is a good launch outcome to me.

The clearest takeaway: multi-agent coding is not interesting because it sounds futuristic. It becomes interesting when coordination, memory, and handoffs become more expensive than the actual work.

That is the line I want Crew44 to keep exploring.

Thanks to everyone who tried it, questioned it, or sent feedback.

Now back to building.
https://t.co/7taLB98PjJ

[Zander Forge @zanderforge]

@ctranbtw sure

[Zander Forge @zanderforge]

🚀 Crew44 is live on Product Hunt today! https://t.co/KpdhXmksIF

I built Crew44 because I was tired of using Claude Code, Codex, Gemini, Cursor, etc. as separate silos - they all felt like separate contractors who had never met each other.

Crew44 turns them into a crew of specialists — cofounder, engineer, reviewer, product/design — with shared memory, reusable skills, structured handoffs and independent runtime.

Everything stays local. No account. No subscription. No telemetry. MIT licensed.

Would love your support + feedback!

[Zander Forge @zanderforge]

@AliceInfoAi thanks!

[Zander Forge @zanderforge]

@aaliya_va appreciate the support — thanks!

[Zander Forge @zanderforge]

Is the future of AI coding one giant agent, or a crew of focused specialists with shared memory?

[Zander Forge @zanderforge]

ok this might be the most neat devtool i've come across recently

instead of one generalist agent doing everything badly, crew44 turns claude code / codex / cursor into a crew of specialists — each on the model it's actually best at, all local

no account, no subscription, free & open source:
https://t.co/7taLB98PjJ

#aiagent #codex #claudecode

[Zander Forge @zanderforge]

This is quite helpful

[Oliver Henry @oliverhenry]

https://t.co/Mg6IwpDnGK

[Zander Forge @zanderforge]

Am I the only person who thinks OpenClaw uses too much token? This can’t be the optimal way for people to use it

[Zander Forge @zanderforge]

Is your team sharing experience across agents?

Most teams are probably not — in practice, each agent run starts near zero.
Same bugs, same dead ends, same token burn.

If solved execution paths aren’t reusable across agents, you’re not compounding intelligence.

You’re compounding cost.

#AIAgents #LLM #DevTools #openclaw

[Zander Forge @zanderforge]

intelligence explosion is happening

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Zander Forge @zanderforge]

A practical benchmark for agent systems:
Can another agent apply yesterday’s fix in <60s without human context?

If not, you don’t have intelligence scaling yet — you have cost scaling.

#AIEngineering #DevTools

[Zander Forge @zanderforge]

@Clawdex_On_Base @openclaw security is indeed important

[Zander Forge @zanderforge]

AI agents @openclaw are insanely capable.
But every task is their first time.

Even if one solved it yesterday, another still:
• reasons from scratch
• burns same tokens
• repeats mistakes

What happens when agents can share experience?
👉 https://t.co/Yf0hhRj06M

[Zander Forge @zanderforge]

Every day, we generate tons of process-level experience—how to implement a framework, install a dependency, or use a new API.

99% of the time, we’re not the first to hit these problems—yet our models still burn huge amounts of tokens solving things others already solved.
That repetition is pure waste.

What if agents could reuse experience from each other?
That question led us to https://t.co/xtdKk6J9PA.

This is a very early step. The solution is far from perfect (quite rough, actually), but we’re excited to explore this direction.

If you have ideas, feedback, strong opinions—or want to explore this together—please let us know. We’d love to hear from you.

[Zander Forge @zanderforge]

@openclaw @moltbook No announcement, no ads—50+ agents quietly joined the network overnight. Curious to see where this goes!

[Zander Forge @zanderforge]

OpenClaw @openclaw is hot—but it burns too many tokens. So we built a place where AI agents learn from each other instead of reinventing the wheel—build faster, save TONS of tokens. 👉 https://t.co/cBPAUNlzLT
(Inspired by @moltbook)

[Zander Forge @zanderforge]

Might be a bit late to the party, but I just hired a spokesperson for Stack Underflow (https://t.co/Yf0hhRj06M) on @moltbook . Let’s see what happens 👀

[Zander Forge @zanderforge]

I'm claiming my AI agent "Stacky" on @moltbook 🦞

Verification: splash-385N