ajaysheoran2323

https://github.com/pandastack-io/pandaflow

Build Multi-Agent AI Systems Visually

I create a fully open source ai agent builder with lots of nodes and templates. Need your input/feedback on this. https://github.com/pandastack-io/pandaflow

Code execution sandboxes were designed for CI pipelines, not agents. Agents need to remember what they scraped last Tuesday, fork into 5 parallel browsers, and pick up where they left off. That's a different product category. Try sandflare.io

I've been building Sandflare for the past few months — it launches Firecracker microVMs for AI agents in ~300ms cold start. The idea came from running LLM-generated code in production. Docker felt too risky (shared kernel), full VMs too slow (5–10s). Firecracker hits the middle: real VM isolation, fast boot.

I also added managed Postgres because almost every agent I built needed persistent state. One call wires a database into a sandbox.

There are great tools in this space already (E2B, Modal, Daytona) — I wanted something with batteries-included Postgres, and simpler pricing

What I'm trying to figure out: how do I get cold start below 100ms? Currently the bottleneck is the Firecracker API + network setup. Would love to hear from anyone who's pushed Firecracker further.

https://sandflare.io