VictorTaelin / OptMem
git clone https://github.com/VictorTaelin/OptMem.git
Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
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LanguagePython
License—
Created2026-07-25 (2mo ago)
Last push2mo ago
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README excerpt
# OptMem Permanent memory for AI agents. A 426-token prompt, a script, plug and play. ## Install [code] It prints a `## Memory` block. Paste that at the top of your agent's `AGENTS.md` (or `CLAUDE.md`), and you are done. Run the same line again to update. The tool lands at `~/.optmem/memo`; put `~/.optmem` on `PATH` to type `memo`. ## Commands | | | |---|---| | `memo wake` | read the memory — the first command of every session | | `memo note "..."` | record one memory: one line, up to 280 bytes | | `memo nap` | answer the merges that came due | | `memo recall ` | search every memory ever recorded, word for word | | `memo zoom - ` | open a tree node into its two halves | | `memo forget - ` | drop a bad summary; the next nap rebuilds it | Merges arrive one at a time, in the output of `note`. Nothing ever runs in the background. ## Files [code] [code] `WAKE_LINES` is the only size worth touching, and it is a reading budget, not a storage budget: change it whenever, in either direction, and nothing is recomputed. Records are fixed width, so position *is* identity and every lookup is one seek. At a million memories (608 MB), `wake` takes 0.03s. Set `$MEMORY_DIR` to keep `memory/` elsewhere — a synced folder, a git repo. ## The prompt This is what the installer prints, and the whole of the integration. [code]