memex
A production-grade persistent memory service for AI agents. Agents forget everything between sessions by default — memex fixes that. It stores, retrieves, and ranks conversation memory using semantic search with recency decay, so agents surface what's relevant and recent, not just what's semantically closest.
POST /v1/memories → store a memory, embed it, persist to Postgres
POST /v1/memories/search → retrieve top-k memories ranked by similarity + recency
DELETE /v1/memories/{id} → forget a specific memory
GET /v1/memories/count → how many memories does this agent/user have
GET /health → liveness + DB connectivity check
GET /metrics → Prometheus metricsArchitecture
caller (agent / app)
│
▼
FastAPI (async)
│
┌────┴────┐
│ │
embeddings asyncpg pool (min=5, max=20)
(fastembed │
ONNX, ▼
local) PostgreSQL 16
pgvector extension
ivfflat index (cosine)Write path: content → fastembed ONNX inference (local, ~12 ms CPU, BAAI/bge-small-en-v1.5) → INSERT with 384-dim vector → return memory ID.
