Integral No longer maintained

Integral

AI-native communication for high-signal communities.

Active 2023 — 2025 · Archived

Integral was an AI-native communication platform optimized for high-signal communities and long-term knowledge transfer. The thesis was plain: the conversations that generate the most valuable knowledge happen in private spaces where the tooling is the worst at preserving what gets said. Slack threads scroll into oblivion. Discord servers become context graveyards. Important answers decay into unsearchable history.

Integral treated a community’s output as an artifact worth indexing — durable, discoverable, and retrievable across time. Every message was embedded, every thread was graph-linked, and every query walked backwards through the community’s own history to answer in its own voice.

Architecture

Clients
Desktop · Electron + Next.js Mobile · React Native + Expo
Application
Real-time messaging Feed ranking Video recording & streaming Push notifications Multi-tenant permissions
AI Services
RAG over community history Vector embeddings · Vertex AI Knowledge graph Semantic search TypeScript · Python
Infrastructure
Postgres Google Cloud Run Cloudflare Workers

Figure 01 — Integral stack, as of v2 (2025).

How it worked

  1. Messages flowed through a real-time pipeline captured in a multi-tenant Postgres store with row-level security, so every community owned its own slice of the graph.
  2. Each new message was embedded into a custom vector space using Google Vertex AI — a numeric fingerprint of meaning rather than of words, so paraphrases, languages, and jargon collapsed into the same neighborhood.
  3. A knowledge-graph layer sat over the embeddings, linking people to topics, threads to artifacts, and questions to the answers the community had previously given. Context travelled across conversations, not just within them.
  4. Any query — a typed question, or a new message waiting for a reply — retrieved semantically relevant context from the graph and composed an answer with RAG. Grounded in what the community had actually said; never in what the model happened to imagine.

Launches

Learning Loop wound down in September 2025, and active development on Integral ended with it. The product is no longer available for new signups, and existing instances have been retired.

This page remains as a record of what was built. The company memorial is at learningloop.com.