@jordandotbuilds This is massive for remote agentic workflows. I just reviewed this for a headless iOS simulator testing environment.
The agent's biggest blind spot is the simulator screen it has to run slow screenshot pipelines just to verify layout. serve-sim’s MJPEG+WebSockets bridge solves it
@jamonholmgren This setup is gold, and I can confirm it works. I just physically implemented this exact architecture inside a complex intelligence pipeline running entirely on agentic commands.
@Voxyz_ai Just ran codebase-memory-mcp on my project, and it's a game-changer!
Indexed 63,000+ nodes and 130,000+ edges in seconds.
Used the semantic graph via trace_path/query_graph to instantly map dependency chains, track caller paths, and safely purge dead code.
10x fewer tokens.
If you hook up a @LangChain or @crewAIInc agent to your production database, you are one poisoned PDF away from dropping your tables.
Probabilistic "AI guardrails" don't work. We need deterministic physics.
Today, we are open-sourcing Swarm Shield.
We built this for High-Frequency Trading (HFT) firms, but deterministic security belongs to the open-source community. Designed specifically to harden @hwchase17’s LangChain and @joaomdmoura’s CrewAI ecosystems."
@joaomdmoura 100%. The blocker to shipping to prod isn't architecture, it's CISO's rejecting it over injections.
To your point on "loud and obvious" failures, I open-sourced a deterministic compiler that physically locks @crewAIInc agents to their tools.
GitHub: https://t.co/EZ6Q5GSrbh
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