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nMEMORY
Local memory for AI agents that admits when it doesn't know.
nMEMORY is a single-file, hermetic memory your coding agent talks to over MCP. Every answer carries its source; when there's no evidence it abstains instead of hallucinating. One Rust binary, one SQLite file, zero network. Open source, AGPL-3.0.
15 years shipping software. The last 12 months, nothing but AI — full-time, all in. What
came out is 17 tools that make a generic coding agent actually mine; I'm releasing them
one at a time, and this is the first.
My coding agent woke up amnesiac every session — I re-explained the project, re-decided
settled questions, re-found the same bug. So I built it a memory with one rule I don't let
it break: when it doesn't know, it says so. It never invents an answer.
Recall returns one of three honest outcomes — grounded (evidence with its source),
missing_evidence (matched but every match excluded, with per-reason counts), or abstain
(nothing matched). There is no fourth "here's my best guess" branch; you can read the
source and confirm the code path doesn't exist. Capture is provenance-mandatory: no source, no storage. A disproven fact gets a `falsifies` edge and stops grounding recall — the memory remembers being wrong.
It runs entirely on your machine: one Rust binary, one SQLite file, compiled without a
networking stack (strace shows zero socket() calls). MCP over stdio, so it plugs into Claude
Code / Codex / any MCP client. AGPL-3.0.
curl -fsSL https://no.tt/install | sh
github.com/menot-you/n-memory
I'm one engineer (n=1). Happy to go deep on the design — especially the "advisory, not
authority" stamp that makes stored text unable to hijack the agent. #2, nSOUL (the
engineering core the rest sit on), is already up; 15 more to come.
About nMEMORY on Product Hunt
“Local memory for AI agents that admits when it doesn't know.”
nMEMORY was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #123 on the daily leaderboard. nMEMORY is a single-file, hermetic memory your coding agent talks to over MCP. Every answer carries its source; when there's no evidence it abstains instead of hallucinating. One Rust binary, one SQLite file, zero network. Open source, AGPL-3.0.
On the analytics side, nMEMORY competes within Software Engineering, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how nMEMORY performed against the three products that launched closest to it on the same day.
Who hunted nMEMORY?
nMEMORY was hunted by tiago. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of nMEMORY including community comment highlights and product details, visit the product overview.