An OpenAI-compatible face for web-browsing AI agents

What it does BLAST is a local serving engine that adds an API front-end to LLM-driven browser automation. It speaks the OpenAI protocol, so standard clients can consume streamed browser output—text and screenshots—without special SDKs. The project emphasizes concurrency, memory efficiency, and cost control for both hosted apps and single-user local runs.

The interesting bit Instead of forcing you to adopt a new client library, it acts as a protocol translator: your off-the-shelf openai client connects to a local endpoint that orchestrates real-time web browsing behind the scenes. The README also touts automatic parallelism and prefix caching to cut latency and cost, though it never details how those mechanisms work.

Key highlights

• OpenAI-compatible endpoint; no client rewrites required
• Real-time streaming of browser-augmented responses
• Claims automatic parallelism and prefix caching for performance
• Built-in concurrency and resource management
• MIT licensed

Caveats

• The README is thin on architecture: it never names the browser engine, LLM backend, or sandboxing strategy.
• The repository description calls the project “Open-source VMs-as-a-service,” a premise the README never mentions, so the actual scope is unclear.

Verdict Try it if you want a ready-made serving layer for browser-AI features and are happy to treat the stack as a black box. Look elsewhere if you need to audit the underlying browser driver or security boundaries before shipping.