fable Recall
Your Claude already has a memory. fable unlocks it.
Quickstart · · · ·
Agenten stärken
Installation vom Herausgeber. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
Noch kein paketiertes Release in der Registry. Folgen Sie der README des Repositorys.
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
Quickstart · · · ·
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
Every conversation you've ever had with Claude Code is already saved on your machine — every decision, every debugging hunt, every 2 AM breakthrough, word for word. Claude just isn't allowed to use it.
Mid-session, compaction builds a wall: everything behind it is locked away
to save tokens, and Claude carries on with a thin summary. /clear wipes
the slate. And after 30 days, Claude Code quietly deletes the files
themselves. Your project's real memory — locked, then destroyed, by
design.
Everyone else sells you a replacement memory: summaries, extracted facts, vector stores. fable does something different — it unlocks the real one.
pipx install git+https://github.com/grooverLab/fable
fable install # one command: register the MCP, install hooks, index your history
fable serve # browse your memory in a dashboard
100% local · no API keys · no cloud · no daemons. Your conversations never leave your machine.
pipx install git+https://github.com/grooverLab/fable # install the CLI
fable install # one-shot: claude mcp add + Claude Code hooks +
# ~/.fable home + index every transcript
fable serve # dashboard at http://127.0.0.1:8765
pipx upgrade fable-recall # update later (pulls latest from GitHub)
fable install is idempotent — safe to re-run; it skips anything already wired.
To do it by hand: fable setup (home) · claude mcp add fable -- fable mcp (MCP) · fable discover (index).
🧵 Composed Sessions. Hand-pick conversations from any project, any month — put them in your order — and fable builds a brand-new session that Claude resumes as its own lived history. A workspace with curated memory. (Empirically verified: restitched sessions resume cleanly, signatures intact.)
🕰️ File time-travel. Your transcripts accidentally versioned
everything. fable reconstructs every file's edit history — every Edit
and Write Claude ever made, across every session — with side-by-side
comparison between any two moments of a file's life, and a jump back to
the conversation that made each change. (fable file src/loader.py)
✂️ Transcript Surgery. Your 80 MB session is paying rent on dead threads. Remove whole conversations — fable re-stitches the timeline, shows you the simulation first, and keeps every removed byte recallable forever. Reversible by construction.
🪶 Pruning that loses nothing. Slim every message (tool noise, images, bloat) before resuming a heavy session — with an itemized preview of the savings, and the original sealed in the vault first.
🔍 Memory Diff. See exactly what any prune or cleanup cost any conversation — generation by generation, byte by byte. Nobody else can even show you what was lost.
🔇 Run cold. Mute recall for a session or a fleet of sub-agents and they
work with no prior context at all - no injected memory, no recall tools - while
capture keeps running, so the muted work is still recorded verbatim and
searchable the moment you lift it. The point is an unbiased second opinion:
an audit that cannot be anchored to yesterday's conclusion.
(fable mute on · FABLE_MUTE=1 claude · a toggle in Settings)
fable indexes your transcripts into a local SQLite archive: an immutable vault (every byte, forever) plus a search map (keyword + semantic, optional local embeddings via Ollama). Hooks run before Claude Code's compaction and cleanup; an MCP server gives Claude search / recall / remember tools. Measured on a real archive — 191,000 records, 6,000 conversations:
Reproduce it: python3 scripts/benchmark.py. No competitor publishes
retrieval numbers.
(Fair is fair: mem0 fits multi-LLM production agents; ccusage goes deeper on billing analytics. Different jobs, both compatible with fable.)
fable's first user is the session that built it: mid-build, that session
was pruned by fable (7.8 MB → 3.0 MB), kept working through compaction via
its own hook, and is now searchable through its own MCP server — and
fable file fable/recall.py replays its own source code being written,
18 versions deep. The build history eats its own dogfood — all $83k of
API-equivalent work in the author's archive included.
What people use it for
--resume, reversiblyfable remember "we deploy Fridays only" — standing rules, every sessionTry it on a fictional sample first:
python3 demo/seed_demo.py && fable --db demo/demo.db serve
MIT · local-first forever (non-goals) · built with Claude
Code, for Claude Code · @claude answers issues here — the butler is
Claude ·
architecture deep-dive ·
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die stdio-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
In diesem Eintrag ist keine erforderliche Umgebungsvariable aufgeführt.
Fable läuft lokal über stdio.
Zuletzt geprüft: 2026-10-28. High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
