WeWeb vs Tigris
Side-by-side trajectory, velocity, and editorial themes.
From front-end no-code builder to full-stack AI app generator.
WeWeb has crossed from a front-end no-code builder into a full-stack platform. In April it launched a native backend (database, APIs, auth, storage, server logic inside the editor) and rebuilt the editor around three tabs (Interface, Data & API, Settings). May releases are extending WeWeb AI from single-page generation to multi-page apps with more consistent handling of complex native elements.
The combined backend launch, editor redesign, and multi-page AI generation point at deliberate competition with Bolt, Lovable, and Cursor's app-builder products — the bet is on full-stack code-free generation, not template-based site building. Release cadence is high (multiple per week, occasionally same-day duplicates in the feed), mixing substantive features with rolled-up "improvements and fixes" bundles.
Expect WeWeb AI to gain backend-aware generation — schema, endpoints, auth flows in one prompt — and a GitHub or code-export story to neutralize the "real code" pitch that Bolt and Lovable lean on.
Tigris turns its object store into agent infrastructure with Agent Kit, agent-shell, and durable global streams.
Tigris's release stream is a sustained product-marketing push around AI-agent storage primitives. Agent Kit landed as a TypeScript SDK exposing bucket forks, workspaces, checkpoints, and event coordination. agent-shell put a virtual bash environment with persistent storage in front of those primitives. Durable global streams via S2 Lite extended the object store into a streaming substrate suitable for per-agent reasoning traces. Around the launches, case studies and tutorials (Basic Memory, the $10 self-updating knowledge base) make the pitch concrete.
Tigris is staking a position that the right substrate for AI agents is not a database, vector store, or queue — it is a globally-distributed, fork-able object store. Each blog and SDK in this batch reinforces that thesis from a different angle: storage as message queue, fork-per-agent sandboxing, storage-protected agent containment, streams for reasoning traces. The competitive map being drawn includes R2, S3 Express, Backblaze, and the agent-runtime vendors (Modal, E2B), not other databases.
Expect a managed Vector or Lance-index surface on top of buckets to compete more directly with Turbopuffer and Pinecone, and a Python counterpart to the @tigrisdata/agent-shell TypeScript runtime to widen the agent-developer surface area.
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See more alternatives to Tigris →