https://github.com/baryhuang/company-os — Star and fork appreciated. Disclosure : I’m the author. This is a free, open-source project (MIT license) — no paid tiers, no referral links, no data collection. Built it for my own team, sharing because others might find it useful. Uses third-party APIs (AssemblyAI, OpenAI, Anthropic) which have their own pricing — the project itself costs nothing. Why this exists Most startups run their OS on Slack threads, Google Docs nobody reads, and whatever the CEO remembers from last Tuesday. The important stuff lives in people’s heads — until they forget it. My friends and I all tried OpenClaw. It felt like a toy — a chatbot wrapper with no persistent memory, no structured knowledge layer, no way to turn conversations into operational decisions. So I built Company OS on remote Claude Code. How it works Voice → structured knowledge — Send voice memos to a Telegram bot. AssemblyAI transcribes with speaker diarization (who said what) and auto language detection. Transcripts get processed into a “Decision Atlas” — a tree-structured knowledge graph organized by strategic dimensions (Market, Product, Build, OKR, etc.). Categories emerge from your conversations, not a template. Postgres-backed knowledge graph — Each decision node stores status, dates, transcript quotes as evidence, and custom metadata. Stored as flat rows in Postgres with pgvector, synced via a diff-based algorithm that only updates what changed. Auto-snapshots before every sync — basically git for your company brain. Semantic search over everything — Linear tasks are embedded with text-embedding-3-small and searchable by meaning, not keywords. “What’s blocking the pilot launch?” actually finds the right tickets. Competitor intelligence uses Claude 4.5 Sonnet to analyze your landscape on the fly. Dashboard with 10+ views — React/Vite/Bun frontend with markmap mindmaps, D3 trees, OKR tracking, people network, competitor analysis, semantic task search, and a todo board with inline status updates that write directly to the DB. Multi-user workspaces — Each team member gets their own isolated view of the same knowledge base. Row-level isolation in Postgres, workspace sharing built in. Stack : Python/FastAPI, React 19/Vite/Bun, InsForge (Postgres + pgvector + edge functions), AssemblyAI, Claude 4.5 Sonnet, OpenAI embeddings, AWS S3, Telegram Bot API. We’re a 5-person team in Techstars. Six meetings a day. A week later, nobody used to remember the details. Now every conversation becomes searchable knowledge with evidence trails, and nothing gets lost. No custom infra to maintain. Just Claude Code + MCP integrations as an actual operating layer. submitted by /u/buryhuang
Originally posted by u/buryhuang on r/ClaudeCode