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Do you remember someone shared a link to an update or proposal? But now… it’s gone. Was it on Discord? Telegram? Email? You scroll endlessly. Still nothing.
You ask in the group.
“It’s already there. Just scroll up.”
You do. Again and again. Still nothing.
That sinking feeling of being part of a community but missing what matters was the moment TogetherCrew’s story began.
The team behind TogetherCrew wasn’t outsider. They were living it. This shared experience led them to Deep Funding, seeking support to turn their frustration into a revolutionary solution.
TogetherCrew was born inside RnDAO(Research and Venture a Decentralised Autonomous Organization), a collective reimagining the future of work. They saw that community managers’ emotional and strategic labor often went overlooked.
The spotlight was on surface-level metrics: who posted the most or spoke the loudest. But that wasn’t real leadership. So the team asked: What if we measured how meaningfully people connect?
They built an analytics dashboard that didn’t just count posts. It revealed who was participating, who was building trust, and who was contributing to cohesion, moving beyond noise to uncover the true health of the community.
With Large Language Models (LLMs) advancing, TogetherCrew saw a new future: an intelligent agent that helps people navigate their communities. No more missed updates, endless scrolling, or lost context.
However, LLMs had limitations: hallucinations, a lack of context retention, and difficulty with large, fast-changing datasets common in DAOs. A full redesign was needed to truly leap forward.
A pivotal moment arrived when a new teammate, Tjitse, brought neuroscience insights from his research on human brain memory at UC Santa Barbara. This led TogetherCrew to introduce a multi-memory architecture, inspired by how our brains categorize information:
This innovative structure enabled TogetherCrew’s agent to understand, recall, and respond far more accurately, even across huge volumes of messy community data. From there, TogetherCrew adopted a multi-agent architecture, layered in AI evaluations, and enhanced capabilities with real-time summaries, trust mapping, delegation support, and more. It began to feel almost… human.
Supported by Deep Funding, TogetherCrew has since supported over 100 Web3 communities, including leading platforms like:
These are not passive dashboards; they are living agents helping communities gain clarity, make smarter decisions, and recognize the invisible labor that often goes unnoticed. Deep Funding proudly supported TogetherCrew with community-backed, non-dilutive grants, empowering their vision to redefine community intelligence.
TogetherCrew is now preparing to launch a dedicated knowledge agent, trained on over 15,000 documents from the P2P Foundation wiki — the very platform where Satoshi Nakamoto first introduced Bitcoin. This vast archive of wisdom on cooperation, peer production, and decentralized systems will soon become instantly accessible through a conversational agent, activating forgotten knowledge for the communities building our decentralized future.
In the fast-evolving landscape of DAOs and decentralized ecosystems, data is everywhere, but true understanding is rare. Communities generate massive volumes of conversation, but people often feel lost or overwhelmed. TogetherCrew steps into that gap, not with more dashboards or louder notifications, but with a quietly powerful agent that listens, learns, and helps.
It’s not about control; it’s about clarity, connection, and care. TogetherCrew is helping us rebuild how we understand each other. For the decentralized future to thrive, that might be exactly what we need most.
Do you have an innovative AI vision that could transform communities or industries? Deep Funding empowers projects like TogetherCrew with community-backed grants, expert feedback, and a launchpad into the SingularityNET ecosystem.
Become part of the driving force behind decentralized AI innovation. Collaborate, contribute, and help shape the future of our community.
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