SQLite is all you need for durable workflows
Original: SQLite is all you need for durable workflows
Why This Matters
Simplifies durable workflow infrastructure for AI agents using lightweight local databases
Obelisk argues SQLite with Litestream backup to S3 provides sufficient durability for AI workflows. Local database files eliminate network overhead and operational complexity while async replication ensures data preservation.
A new blog post from Obelisk argues that SQLite, paired with Litestream for backup, provides adequate infrastructure for durable workflows, particularly AI agents. The approach uses local SQLite databases to store workflow state without requiring separate database services, eliminating network hops and reducing operational complexity. Litestream streams SQLite changes asynchronously to S3-compatible storage for backup and migration. While this creates potential data loss risk if local storage fails before replication, it suits experimental AI workflows well. The model involves running Obelisk servers with SQLite databases, backing them up with Litestream, and allowing observers to pull databases when needed. This architecture provides better fault isolation and cost efficiency for bursty, experimental AI systems compared to large shared databases. Postgres remains preferable for high availability and shared scalability requirements.