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OptMem

Permanent memory for AI agents. A 426-token prompt, a script, plug and play.

how OptMem works

Install

curl -fsSL https://raw.githubusercontent.com/VictorTaelin/OptMem/main/install.sh | sh

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 chars
memo nap answer the merges that came due
memo recall <regex> search every memory ever recorded, word for word
memo zoom <lo>-<hi> open a tree node into its two halves
memo forget <lo>-<hi> 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

~/.optmem/
  memo          the tool: one file of Python 3, no dependencies
  memory/
    LOG.txt     every memory, one per line, append-only, never edited
    TREE/       the summaries: a cache, rebuildable from the log alone
    config      the sizes, written by `memo config`
memo config                  # show the sizes
memo config WAKE_LINES=300   # how many lines wake prints (208 ≈ 16k tokens)
memo config WAKE_LINES=      # back to the default

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.

## Memory

Your memory is OptMem:
- The tool is `~/.optmem/memo`
- Your memories are in `~/.optmem/memory`

OptMem outlives every session, compaction, model and vendor change.
Without it you do not know who you are, or what was decided and tried.

### At startup: activating OptMem (mandatory)

Run `~/.optmem/memo wake` before any other tool call, in every session, and
then do exactly what it prints, to the end of its output.

### While working: register memories (mandatory)

Call `~/.optmem/memo note "<1 line, max 280 chars>"` whenever you learn
something new, or something worth keeping happens. That covers a task
worth real effort, a fact or insight the user teaches you, anything you
learn about their life (even indirectly), any event of lasting effect.

Do not register redundant memories.

If `~/.optmem/memo note` asks a compression: do it before your next action.

Never edit or delete anything under `~/.optmem/memory`: the tool manages it.

### When you need an old memory: search, or navigate

`~/.optmem/memo recall <regex>` searches every memory, word for word.

Your memories also form a binary tree: #0-1, #2-3 ... exist as one-line
summaries, pairs of those as #0-3, and so on -- every `#a-b` line wake
prints is one node of it. `~/.optmem/memo zoom <a-b>` opens a node into its
two halves, down to the raw memories.

### If you're a subagent: skip everything above

Parallel sessions on this machine are all you, and may all write memories.
A subagent is not: it must never run `memo`, because it cannot judge what
is already known, and its notes would arrive duplicated and incorrectly.
When you spawn one, write: `You are a subagent. Don't run memo.`

About

Permanent memory for AI agents. A 426-token prompt, a script, plug and play.

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