It lives in markdown files.
Unstructured, unbounded, easy to corrupt. One bad edit or one context overflow and your agent's brain is scrambled.
For builders
Your agent runs around the clock — but its memory is a pile of markdown files with no real backup, audit, or portability. Nolocron is the durable, governed memory layer that belongs underneath it.
If you're running agents, you've already improvised a memory layer — and it works until it doesn't.
Unstructured, unbounded, easy to corrupt. One bad edit or one context overflow and your agent's brain is scrambled.
The same agent on a Mac Mini, a VPS, and your phone keeps three quietly diverging copies of "what it knows."
A crash, a disk failure, a migration — and the memory you accumulated is gone, with no way back.
Nolocron keeps your agent's memory the way the rest of your data should be kept: structured, content-addressed, in open formats, on disk you control. Because it's just files, backing it up and restoring it is backing up a folder. Your instance crashes; you restore the folder; your agent is back — every decision and thread intact.
As AI moves from chat to agents, the value of what your agent remembers compounds while which model it calls commoditizes. Whoever provides the durable memory layer for the agentic stack holds the position Postgres holds in the web stack. Nolocron is built to be that layer.
Point your strategy, dev, and research agents at one canonical memory instead of hand-syncing markdown between them.
Move between Claude, GPT, Gemini, and local models without losing the context that made the last one useful.
Every action leaves a receipt — what was read, what was done, in what scope — in open, human-readable formats.
Retrieve the right slice instead of stuffing the whole history into every prompt — smaller, more relevant context, measurable token savings.
Local-first and open: SQLite, content-addressed files, and an open protocol (MCP) your tools already speak. Nothing leaves your machine unless you grant it.