i just launched hivememory. a shared reasoning memory for multi-agent systems.
agents share what they learn, skip redundant research, and catch contradictions automatically.
56% reuse rate. 17.5% fewer tokens. quality went up.
link below:
Introducing hivememory
Shared reasoning memory for multi-agent systems.
Agents write structured claims with evidence + provenance, query what others already know before making LLM calls, and catch contradictions automatically.
pip install hivememory
ridxm.github.io/hivememory/
I built hivememory, a shared reasoning memory layer for multi-agent systems
agents write structured claims with evidence + provenance, query what others already know before researching, and catch contradictions automatically
benchmark results with 3 parallel agents:
- 56% of queries served from memory
- 17.5% token reduction
- quality equal or better
- conflicts identified
project page: ridxm.github.io/hivememory/
repo: github.com/ridxm/hivememory
inspired by @karpathy's LLM knowledge base. single-agent works, this makes it multi-agent.
pip install hivememory
claude-eyes is finally a native feature
xitter.cf/ridcursion/status/2013…
🏆 Excited to share I got 3rd place at the @GoogleDeepMind x @vercel Hackathon NYC
I built ANSR. An AI voice host that answers every restaurant phone call. Takes orders. Makes reservations. Responds in any language.
How it works:
→ Owner uploads a photo of their menu
→ Gemini 3.1 Pro Vision extracts every item, price, and dietary tag
→ @ElevenLabs powers the voice conversation
→ @GeminiApp extracts structured data from the conversation
→ @supabase Realtime pushes orders and reservations to a live dashboard
The entire pipeline (voice in, structured data out, dashboard updated) happens with zero human input.
Built with:
→ @vercel Nextjs
→ Gemini 3.1 Pro + Flash Lite
→ @ElevenLabs Conversational AI
→@supabase Postgres + Realtime
Huge thanks to @vercel, @GoogleDeepMind, and @cerebral_valley for putting this together :)
Introducing Clutter Bot
A robot that understands simple english commands and actually executes them.
Natural language → robot action. Made using @GeminiApp and @Vultr
Built with @danielwu28 for the @lablabai AI Meets Robotics hackathon!
went to sf for Physical AI hack!
we tried to teach a robot to do latte art. a really fun weekend, met awesome people and learned a ton!
flew to sf for the physical ai hackathon at @fdotinc!
super excited to spend the weekend meeting great people, learning and building 🦾








