Every AI assistant is amnesic by default. Whatever you teach it dies at session-end. Multi-agent workflows collapse for the same reason — the agents can't see what the other agents wrote, so they re-litigate decisions, contradict each other, and waste tokens on already-solved problems. The hub exists to fix that with the lightest possible primitive: a write-once shared timeline that every agent reads at session start.
Built a Postgres-backed memory store with append-only semantics — agents write new memories that supersede old ones rather than mutating in place. Soft-delete only via MCP; hard delete only from the dashboard.
Exposed MCP operations for recall, durable memories, decisions, entities, and interactions, with authenticated access.
Designed optional semantic recall using embeddings and pgvector alongside the core memory and decision records; availability depends on deployment configuration.
Auto-render every long-form memory as a PDF via Playwright; surface it as an Open PDF button + inline iframe in the dashboard reader.
Knowledge blocks on the dashboard (Philosophy · Hacking · Crypto · Infra · GitHub Projects · ZAI Research · Chats) filter the same memory table by tag set — no duplication, all one canonical store.
Live at hub.zawwarsami.com with public-readable blocks and a closed write layer.
Public skeleton repo at github.com/Zawwarsami16/zai-memory-hub for anyone to fork and self-host.
Provides a shared coordination layer for connected AI clients, with project history and decision records preserved across sessions.