manifold
The data fabric for agents that act.
manifold launched on March 30, 2026 with 1 votes, #8,013 of 23,380 launches that month.
What it does
https://www.mfold.tools/: 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 — right field, right format, right system. Every time. Build-time LLM. Runtime deterministic. No guessing. No drift. No corrupted data at 2am.
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PylarDec 2025 · pylar.ai · ▲502Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…
A Karpathy-style LLM wiki your agents maintain (Markdown and Git)Apr 2026 · github.com · ▲260I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…
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