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v1.1.0 - runs on its own

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@Luneswan Luneswan released this 02 Sep 00:44
· 12 commits to main since this release
v1.1.0
41dd823

What this is

Memory for Claude Code that runs on its own. Install once; after that, asking
"didn't we already fix this?" in plain English gets answered from your own
transcripts before Claude can guess. Nothing leaves your machine.

Install (one line)

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/Luneswan/claude-recall/main/install.py | python3 -

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Luneswan/claude-recall/main/install.py | python -

What is new since 1.0

  • Four hooks, zero typing. SessionStart prints what is still open;
    UserPromptSubmit looks up the past when a prompt asks about it (and only
    then); PostToolUse records real work; PreCompact saves decisions to disk
    before compaction can drop them. Works in the terminal, VS Code, JetBrains
    and the desktop app's embedded CLI.
  • MCP server for the Claude desktop app and Cowork (mcp/recall_mcp.py,
    dependency-free). python install.py --mcp-config prints the config.
  • One-line install. install.py bootstraps itself from GitHub when run
    without the repo beside it.
  • --this-project / --all-projects. History was always global; now it
    says so, and you can narrow it.
  • Build lock + dedupe. Two Claude windows no longer duplicate the index;
    an already-duplicated index heals itself on the next pass. Index shrank
    34% on the reference machine with accuracy unchanged.
  • Selection prints distinct evidence first, continuations of the same
    message only if budget remains.

Verified

Eight suites, every floor held: known-item 150/150, curated 12/12, stress
19/19, subcommands 11/11, capture 33/33, vectors 6/6, federation 28/28,
concurrency 5/5. Foreign machines 4/4. Optimizer 100/100. Clean-room install
into a machine that had never seen recall, graphify absent from PATH: 25/25,
including the one-line install run against this exact GitHub URL.

What is honestly not claimed

How many extra messages this buys on Pro or Max. The per-question token
reduction (~209k) is measured; the effect on a specific plan limit is not
something anyone outside Anthropic can quantify.

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