Spine Swarm

Manage a team of AI agents that do real work

Productivity

Artificial Intelligence

Tech

Vibe coding

Curious how Spine handles credential scoping across agents when each agent needs its own set of API keys or OAuth tokens, do you isolate those at the agent level or pool them at the workspace level? That architecture choice tends to cascade into a lot of downstream access control decisions.

Interesting concept. The idea of multiple specialized agents working in parallel instead of one model handling everything sounds powerful. I like that the result is a finished deliverable rather than just a chat response. How does Spine decide which of the 300+ models to use for each step of the task?

Hey my name is Ramadan,

I came across Spine and the idea of coordinating AI agents to handle complex tasks is really interesting.

While exploring the site, I noticed the experience takes users straight to login without first explaining the product or showing how the workflow actually works. For a tool this powerful, that might make it harder for new users to quickly understand the value.

I’m a UI/UX designer focused on designing experiences for users. It's products like this that small UX changes can help users grasp the product faster.

If you're open, I’d be happy to share a few quick ideas that could improve how new users understand and engage with the platform.

Looks dope guys. What are cases you think this would outperform (either in accuracy, cost, latency, etc.) something like Claude Code subagents or agent teams?

I’m really excited about Spine and had the chance to test out Spine Swarm during a recent product team offsite. We were exploring ways to quickly prototype ideas and initially planned to spin up an OpenAI project and iterate on prompts to feed into Figma Make. Instead, we leveraged Spine and it streamlined the entire workflow. Having all the context in one place meant we could move faster and spend our time actually building prototypes instead of stitching tools together.

Interesting system design here.

From the description it feels like Spine behaves closer to an orchestration layer coordinating swarms of agents rather than just a typical AI workspace.

Curious how the team internally thinks about that distinction.

Curious how the swarm coordination actually works when agents hit conflicting conclusions mid-task — like if one agent's research contradicts another's during a 50-page strategy doc. That's where these multi-agent setups tend to fall apart in my experience. The visual canvas angle is smart though, auditability is genuinely the missing piece in most AI workflows right now. Most people don't trust the output because they can't see how it got there.

Love it! Can't wait to try this out on marketing ops.
Supported and shared on our channels. :) Best of luck!

I've watched people use this for the first time and the moment it clicks is always the same, they don't just prompt and wait as AI goes behind a black box to stitch up an answer, but prompt and watch as their specialised AI workforce comes together in parallel to deliver real work, live.

Couldn't be prouder of what this team built. Go try it!

Canvas over chat - that just makes more sense for real work. When I'm jumping between research, code, and product decisions, linear chat loses context fast. Love the branching idea. Quick question - can you connect outputs between blocks automatically or is it all manual?

I have tried Spine Swarm and it seems as v.useful tool in the AI toolbox.

The idea of spinning up specialized agents in parallel and picking the best model for each step is really smart. Most AI tools try to do everything with one model, which leads to mediocre results across the board. The visual canvas where you can watch agents work in real time is a nice touch too — transparency in how AI arrives at deliverables builds a lot of trust.

Interesting architecture. Orchestrating multiple specialized agents across 300+ models to decompose long running tasks into structured outputs on a shared canvas is a strong systems design choice.

Curious how you handle task routing, intermediate state management, and verification of outputs between agents to maintain consistency.

Working on Spine made me realise how different things get once you move from one model to many agents. A lot of the engineering ends up being orchestration routing tasks across models, coordinating long-running jobs, and keeping outputs structured so other agents can build on them.

It’s interesting watching it break down larger tasks and assemble real outputs research reports, strategy docs, prototypes, landing pages, and slide decks.

I’ve also been using it for engineering workflows like researching systems, summarising docs and blogs for quick reads, getting perspectives from multiple agents with different personas, generating quick prototypes, and thinking through edge cases.

Would love to see people try workflows like this too.

Pretty fun system to build and work on.

Engineer on the team here,

One of my favorite moments while building Spine was the first time we ran a task and just… watched agents work for ~30 minutes assembling a full research doc and slide deck.

With Spine Swarm, it felt less like prompting an AI and more like assigning a project to a small team who do their job incredibly good.

Let's go!! 🚀 I used Spine with a client the other day who gave me a disjointed mess of documents and links and said "design me a website that's like these!"

I fed everything into Spine before bed and woke up with mockups, a comprehensive design guide, full decision making process, and a report I could hand the client as to the direction I was going & the next steps. And... it did better than I ever could.

1 day of work saved thanks to Spine 💪

Real productivity platform where AI agents help me complete my work. Love this product!!

I'm on the team at Spine but I also use it constantly for my own work. What I keep coming back to is how visual everything is — agents do the heavy lifting, and you get real deliverables on a canvas you can actually look through, rearrange, and build on. If you've ever wished you could just watch AI work and step in when it matters, that's basically this.