grooverLab/fable
๐ ๐ ๐ ๐ง - MCP server over your Claude Code transcript history โ full-text + semantic search, byte-identical thread recall, durable /remember facts. Local SQLite, stdlib-only.
Quick Install
{
"mcpServers": {
"grooverlab-fable": {
"command": "npx",
"args": [
"-y",
"grooverlab-fable"
]
}
}
}Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.
Documentation Overview
fable Recall
Your Claude already has a memory. fable unlocks it.
Quickstart ยท Why fable ยท Benchmarks ยท Roadmap ยท Discussions
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Every conversation you've ever had with Claude Code is already saved on your machine โ 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 โ locked, then destroyed, by
design.
Everyone else sells you a replacement memory: summaries, extracted facts, vector stores. fable does something different โ 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 ยท no API keys ยท no cloud ยท no daemons. Your conversations never leave your machine.
Setup & commands
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 โ safe to re-run; it skips anything already wired.
To do it by hand: fable setup (home) ยท claude mcp add fable -- fable mcp (MCP) ยท fable discover (index).
| command | what it does |
|---|---|
fable search <q> | rank threads by relevance (--project, --kind, -n) |
fable context <q> | assemble a budgeted context pack |
fable thread <id> | a thread's raw turns, byte-identical |
fable file <path> | a file's full edit history across sessions |
fable cards run | generate AI summary cards (background) |
fable discover | (re)scan + index all Claude Code projects |
fable prune ยท fable export ยท fable stats | slim a session ยท export ยท index stats |
fable serve | the dashboard |
- Ask about past conversations with Claude โ get the real answer. "What did we decide about auth last month?" Claude searches its own history mid-session (via MCP) and quotes the actual transcript โ not a summary, not an extracted "fact." The conversation itself.
- The wall stops costing you. fable catalogs everything before compaction walls it off, and hands back exactly what Claude lost โ on demand, under a token budget you set.
- The 30-day deletion becomes irrelevant. Sealed into a local vault, byte-identical, for as long as you decide.
First of its kind โ five things no other tool does
๐งต Composed Sessions. Hand-pick conversations from any project, any month โ put them in your order โ 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.)
๐ฐ๏ธ File time-travel. Your transcripts accidentally versioned
everything. fable reconstructs every file's edit history โ every Edit
and Write Claude ever made, across every session โ 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)
โ๏ธ Transcript Surgery. Your 80 MB session is paying rent on dead threads. Remove whole conversations โ fable re-stitches the timeline, shows you the simulation first, and keeps every removed byte recallable forever. Reversible by construction.
๐ชถ Pruning that loses nothing. Slim every message (tool noise, images, bloat) before resuming a heavy session โ with an itemized preview of the savings, and the original sealed in the vault first.
๐ Memory Diff. See exactly what any prune or cleanup cost any conversation โ generation by generation, byte by byte. Nobody else can even show you what was lost.
How it works (the short version)
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 โ 191,000 records, 6,000 conversations:
| recall@1 | recall@5 | search (p50) | full re-index |
|---|---|---|---|
| 76.7% | 90.0% | 135 ms | 6.6 s |
Reproduce it: python3 scripts/benchmark.py. No competitor publishes
retrieval numbers.
Why fable โ and not another memory layer
| fable | claude-mem | mem0 / Letta | native Claude Code | |
|---|---|---|---|---|
| Memory = your actual conversations | โ | โ summaries | โ fact snippets | โ ๏ธ locked behind the wall |
Survives the 30-day deletion & /clear | โ | โ ๏ธ its summaries do | โ | โ |
| Claude searches its own history (MCP) | โ | โ | โ | โ |
| Composed sessions / file time-travel / surgery / diff | โ first of its kind | โ | โ | โ |
| Zero API keys, fully offline | โ | โ | โ | โ |
| Footprint | one SQLite file | Node + Chroma daemon | cloud / Docker | โ |
(Fair is fair: mem0 fits multi-LLM production agents; ccusage goes deeper on billing analytics. Different jobs, both compatible with fable.)
Trusted the hard way
fable's first user is the session that built it: mid-build, that session
was pruned by fable (7.8 MB โ 3.0 MB), kept working through compaction via
its own hook, and is now searchable through its own MCP server โ and
fable file fable/recall.py replays its own source code being written,
18 versions deep. The build history eats its own dogfood โ all $83k of
API-equivalent work in the author's archive included.
What people use it for
- "Why did we choose X?" โ architecture archaeology, weeks later
- "When did this function break?" โ file time-travel to the exact edit and the conversation around it
- Picking up a debugging hunt exactly where the wall cut it off
- A composed "workspace" session: threads from three projects, one memory
- Slimming a heavy session before
--resume, reversibly fable remember "we deploy Fridays only"โ standing rules, every session
Try it on a fictional sample first:
python3 demo/seed_demo.py && fable --db demo/demo.db serve
MIT ยท local-first forever (non-goals) ยท built with Claude
Code, for Claude Code ยท @claude answers issues here โ the butler is
Claude ยท
architecture deep-dive ยท


