Kelex: Memory-Backed Agents That Actually Remember

Most agent frameworks treat each run as a fresh chat: no real memory, no progressive flagging, no tenant model, no audit trail. Builders who want an actual long-running agent — one that remembers the user across months, picks up where it left off, and flags what it cannot decide — end up writing the substrate themselves. Kelex is that substrate, productized: typed memory, tenants and agents as first-class objects, bounded confidence with progressive flagging, and webhooks for human-in-the-loop steering. We use it to run Lara and the BFTS content stack ourselves before selling it. Why this matters for us: developers finally have a production-grade memory backend they don't need to build from scratch.

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