shalwin

i build. create. ship :)

[shalwin @samshalwin]

@boardyai https://t.co/J2ErNXgJ35

[shalwin @samshalwin]

@ProductHunt Run n-agents parallely without conflicts

[shalwin @samshalwin]

@aashna_doshi2 @speedrun We’re building the coordination layer that’s been missing from multi-agent AI stacks. It lets your agents work in parallel without conflicting with each other’s work.

Need help with ideas for launch video.

https://t.co/J2ErNXgJ35

[shalwin @samshalwin]

Run one agent and your state is fine. Run three on the same data and strange things start happening :

two agents pick up the same task
one overwrites the other’s update and neither notices
an agent acts on a value that changed ten seconds ago a message goes out before anyone checked it

Nothing crashed. Every log looks normal. The system is just wrong.

These are concurrency problems, the kind databases solved decades ago. Agent frameworks orchestrate who runs when; they don’t make the shared state they write to correct.

ZeroLock sits next to LangGraph, CrewAI or Temporal and does that part: version-checked writes, an ordered claim log so exactly one agent wins a task, approval gates before anything irreversible.

Private testing is underway .
Request access: https://t.co/zdNy6tR40a

#AIAgents #MultiAgent #LLMOps

[shalwin @samshalwin]

@vbarsuchenko Yeah exactly. Just experimenting to solve this exact concurrency issues with multi agent systems.

[shalwin @samshalwin]

Genuine question for anyone running multi-agent systems (LangGraph / CrewAI / AutoGen) with real concurrency : have two of your agents ever stepped on each other's work or contradicted each other? What broke, and what did you do about it?

[shalwin @samshalwin]

70% of enterprise GPU capacity sits idle while teams pay for it 24/7.

I’m building Xid-R to fix that, an agentic GPU broker where AI agents request compute, checkpoint themselves when preempted, and resume anywhere. No lost progress, no wasted spend.

Xid-R. Day 1. Let’s go.