Vectorize provides Hindsight, an open source agent memory system that lets agents remember users, persist context across sessions, and improve over time. It targets developers and teams building AI-powered agents who need memory beyond one-off responses and want an architecture that can scale with multiple agents and users.
Hindsight operates as a memory layer that can be integrated with existing agents and workflows. It supports per-user memory, cross-session persistence, and fast recall, while remaining model-agnostic so different LLMs can be swapped without losing learned knowledge.
The system emphasizes learning from mistakes by turning user corrections and tool-call failures into experiences. A reflection layer synthesizes facts into reusable knowledge, and curated mental models guide common situations for better judgment.
Hindsight is available in open source form under MIT license for self-host deployment, as a cloud service with usage-based pricing, and as an enterprise deployment with private cloud options. It is designed to work with a variety of integrations and provides a REST API, SDKs, and an MCP server for different languages and environments.
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