SQLite is the best home for AI agents
SQLite has emerged as an ideal platform for managing AI agents, particularly with the development of mvSQLite. This database allows for efficient handling of multi-versioned data, enabling agents to access previous states of their filesystems without additional costs. The Willow agent harness leverages these capabilities to support millions of agents and their applications seamlessly.
- ▪In 2022, mvSQLite was created as a scalable, time-traveling SQLite-compatible database.
- ▪AI agents can now build and deploy applications at a significantly faster pace than before.
- ▪Willow, the agent harness for Bridge, utilizes SQLite's strengths to manage agent workloads effectively.
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Record
| Original publisher | Su3 |
| Canonical URL | https://su3.io/posts/willow |
| Publication time | Thu, 21 May 2026 14:33:17 +0000 |
| Retrieval time | 2026-05-21T14:56:11.046Z |
| Last seen | 2026-05-21T14:56:11.046Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | IKVLtDDti4Uu |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
SQLite is the best home for AI agents 2026-05-12 ThoughtsAbout #willow#mvsqlite In 2022 I built mvSQLite, the massively scalable, time-traveling SQLite-compatible distributed database. Three months later, in November, OpenAI released GPT-3.5, and four years later AI agents are everywhere. People deploy agents and ask their agents to build and deploy apps every day - at a pace several orders of magnitude faster than in the pre-LLM era. Now I'm building Willow, the agent harness for Bridge. It turns out that AI agents are the perfect kind of workload for SQLite, and multi-tenant agent harnesses are the perfect kind of workload for mvSQLite. Entropy is bad LLMs destroy information when they work.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Su3.
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