🤓 Latest Submissions
KAIROS — Company Organizational Memory OS
Every company forgets why it made its decisions. A vendor contract auto-renews for three years because the person who signed it left. A new engineer asks "why AWS, not GCP?" and nobody remembers. KAIROS is a Company Organizational Memory OS that fixes this: it connects to Slack, Gmail, Drive, Notion, GitHub, Zoom, and Jira, and ten AI agents run in parallel to extract every decision — who made it, why, what alternatives were weighed, and where the reasoning lives — into a living, physics-simulated decision graph. Ask "why did we decide X" in plain English and get a sourced answer in under 4 seconds. Beyond passive storage, KAIROS is proactive: it scores every decision's staleness and risk, flags contradictory calls made by the same person, and checks for precedent before a team repeats a past mistake. What makes it a "unicorn" and not another wiki: KAIROS plugs directly into Claude, ChatGPT, or Cursor over MCP with 8 bidirectional tools. Any AI checks KAIROS before answering, and writes new decisions back the moment it learns them — a shared, permanent memory layer that every AI you use can read from and write to. Every real answer KAIROS gives runs on AMD Instinct hardware through Fireworks AI, AMD's official inference partner, with automatic fallback to Groq and Gemini for reliability. Google DeepMind's Gemma 4 model is used for fast query classification on the same AMD hardware, attempted first and falling back gracefully when unavailable. Built solo, end to end: FastAPI + LangGraph backend, Next.js 15 frontend, ChromaDB + SQLite + NetworkX memory layer, fully Docker-containerized, MIT licensed.
11 Jul 2026
FUSION — AI-Powered VC Investment Committee
Every year, investors lose billions backing the wrong startups. WeWork, Theranos, and FTX all passed human due diligence — and all failed. The root cause is not a lack of intelligence. It is a coordination failure. The lawyer does not know what the engineer found. The finance team does not know about the pending lawsuit. Everyone works in silos, and critical risks fall through the gaps. FUSION solves this with a five-agent AI investment committee powered by Band AI. Each agent is a specialist: the Financial Partner audits burn rate, revenue concentration, and unit economics. The Legal Partner flags litigation, IP disputes, and regulatory violations. The Technical Partner checks the codebase for EOL software, security vulnerabilities, and compliance gaps. The Market Partner validates TAM claims and competitive headwinds. The Managing Partner chairs the committee, coordinates findings, and delivers the final verdict. What makes FUSION genuinely multi-agent is Band AI. Each partner operates in its own isolated Band room. They @mention each other to share findings and raise cross-domain conflicts in real time. When agents disagree, the Managing Partner triggers a debate round over Band WebSocket before synthesizing the final decision. The verdict is mathematically grounded — a weighted risk score across all four domains (Financial 30%, Legal 25%, Technical 25%, Market 20%) — with full citations, evidence quality scores, and auto-generated diligence questions for human follow-up. FUSION also exposes a full MCP server, so any AI tool — Claude, Cursor, or others — can trigger the entire committee with a single API call. No installation required. Built with LangGraph, FastAPI, Band SDK (thenvoi), Next.js, and deployed on Hugging Face and Vercel.
19 Jun 2026
