SeekDB

AI-native state store with hybrid vector and full-text search

open sourceupdated Jul 7, 2026

SeekDB is an open-source AI-native state store from the OceanBase ecosystem that combines MySQL-compatible data access with hybrid vector and full-text retrieval. It targets agent and AI application teams that need embedded or server deployment, copy-on-write style sandboxes, and searchable state without gluing together several separate storage layers.

SeekDB positions itself as an AI-native state store for agents and retrieval-heavy applications. The project combines MySQL-compatible workflows with hybrid vector and full-text search, giving teams a database-shaped place to keep structured state, embeddings, and searchable text for AI systems.

The most interesting differentiator is its agent workflow framing. SeekDB highlights embedded or server deployment plus fork and merge style state handling, which can fit experimentation, evaluation, and multi-agent systems where isolated state branches are useful before changes are committed back into a main store.

Use SeekDB as an early but credible option when an AI application needs searchable state and database semantics together. It is not a drop-in replacement for every vector database or OLTP system; teams should validate API compatibility, operational maturity, and recovery semantics before relying on it for critical production workloads.

Pricing

Open-source Apache-2.0 project; hosting and infrastructure costs depend on the deployment path.

Platforms

Embedded or server deployment with MySQL-compatible access patterns and hybrid search capabilities.

Use Cases

Data Engineering API Integration Agentic Development

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