Best alternatives to Exabase in 2026

Ask an AI agent something today, and by tomorrow it's forgotten everything you told it — every preference, every fact, every correction — unless a developer has built a custom system to store and retrieve that context, which usually means re-processing the same documents over and over and paying for the same tokens repeatedly. Exabase is infrastructure that solves that specific problem: it gives AI agents a persistent memory that extracts facts, preferences and events automatically, plus a private cloud workspace of files and notes the agent can search and reuse, so the same context doesn't have to be rebuilt every session. Developers integrate it via SDKs, REST or CLI. Its memory engine builds what it calls a "living ontology" — tracking relationships between concepts and consolidating knowledge over time rather than just storing flat logs — with semantic and keyword search, sub-300ms response times, and automatic resolution of contradictory facts. Each customer gets isolated, versioned storage with rollback, and the whole thing is built for production use with AES-256 encryption at rest, SSL in transit, and a 99.9% uptime SLA. The company's own case study claims an 81% reduction in token costs (from $14,900/month to $2,800/month) by not re-sending the same context repeatedly.