Launching today

manifold
The data fabric for agents that act.
1 follower
The data fabric for agents that act.
1 follower
Agents get reads wrong. That's annoying. They get writes wrong. That's a production incident. Manifold is the write layer for LLM agents. Connect any SDK or API. Manifold discovers your data model, maps relationships across systems at build time, and guarantees every write propagates correctly β right field, right format, right system. Every time. Build-time LLM. Runtime deterministic. No guessing. No drift. No corrupted data at 2am.










The agentic future is not agents reading your email. It is agents acting on mission critical systems β executing payments, updating records, triggering transactions. Real consequences. No undo.
We hit this building production agentic payment workflows. 100 per day. Subscription creates, invoice sends, contract data flowing across connected systems.
The reads were fine. The writes broke everything.
Not crashes. Drift. A payment linked to the right customer in one system, the wrong vendor in another. An invoice with the right amount, the wrong reference. Silent failures you don't find until someone can't reconcile their books three weeks later.
We tried everything. Prompting. Memory. Mapping tables. Confirmation steps. None of it held. Because the problem wasn't the LLM β it was that there were no guarantees on write behavior across systems.
You wouldn't ship a database without transaction guarantees. We were shipping agents writing across production systems with none.
Every write was a runtime reasoning exercise. Which entity in one system maps to which in another. Which field maps to which. Different answer every time. At 100 workflows a day that's not a bug β it's a guarantee you'll corrupt production data and not know until it's too late.
We stopped trying to fix the LLM and built the guarantee layer.
Manifold discovers your data model, maps relationships across systems once at build time, and makes every write deterministic. Your agent writes to one system. Manifold propagates to every connected system β right field, right format, every time. No runtime reasoning. No drift.
We built it for ourselves. Clients hit the same wall on completely different stacks β e-commerce, DevOps, internal tooling. Same structural problem.
We are in closed beta and actively looking for more use cases to harden the system and finalise our interfaces before GA. If your agents are writing across connected systems and you are compensating for failures with prompts and retries β we want to talk.
mfold.tools
github.com/ajaystream/mfold.tools
Ask me anything. Especially about the hard parts.