Add wiki-distill.py as Phase 1a of the maintenance pipeline. This is
the 8th extension memex adds to Karpathy's pattern and the one that
makes the MemPalace integration a real ingest pipeline instead of
just a searchable archive beside the wiki.
## The gap distill closes
The mining layer was extracting Claude Code sessions, classifying
bullets into halls (fact/discovery/preference/advice/event/tooling),
and tagging topics. The URL harvester scanned conversations for cited
links. Hygiene refreshed last_verified on wiki pages referenced in
related: fields. But none of those steps compiled the knowledge
*inside* the conversations themselves into wiki pages. Decisions,
root causes, and patterns stayed in the summaries forever — findable
via qmd but never synthesized into canonical pages.
## What distill does
Narrow today-filter with historical rollup:
1. Find all summarized conversations dated TODAY
2. Extract their topics: — this is the "topics of today" set
3. For each topic in that set, pull ALL summarized conversations
across history that share that topic (full historical context)
4. Extract hall_facts + hall_discoveries + hall_advice bullets
(the high-signal hall types — skips event/preference/tooling)
5. Send topic group + wiki index.md to claude -p
6. Model emits JSON actions[]: new_page / update_page / skip
7. Write each action to staging/<type>/ with distill provenance
frontmatter (staged_by: wiki-distill, distill_topic,
distill_source_conversations, compilation_notes)
First-run bootstrap: uses 7-day lookback instead of today-only so
the state file gets seeded reasonably. After that, daily runs stay
narrow.
Self-triggering: dormant topics that resurface in a new conversation
automatically pull in all historical conversations on that topic via
the rollup. Old knowledge gets distilled when it becomes relevant
again without manual intervention.
## Orchestration — distill BEFORE harvest
wiki-maintain.sh now has Phase 1a (distill) + Phase 1b (harvest):
1a. wiki-distill.py — conversations → staging (PRIORITY)
1b. wiki-harvest.py — URLs → raw/harvested → staging (supplement)
2. wiki-hygiene.py — decay, archive, repair, checks
3. qmd reindex
Conversation content drives the page shape; URL harvesting fills
gaps for external references conversations don't cover. New flags:
--distill-only, --no-distill, --distill-first-run.
## Verified on real wiki
Tested end-to-end on the production wiki with 611 summarized
conversations across 14 wings. First-run dry-run found 116 topic
groups worth distilling (+ 3 too-thin). Tested single-topic compile
with --topic zoho-api: the LLM rolled up 2 conversations (34
bullets), synthesized a proper pattern page with "What / Why /
Known Limitations" structure, linked it to existing wiki pages,
and landed it in staging with full distill provenance. LLM
correctly rejected claude-code-statusline (already well-covered
by an existing live page) — so the "skip" path works.
## Code additions
- scripts/wiki-distill.py (new, ~530 lines)
- scripts/wiki_lib.py: HIGH_SIGNAL_HALLS + parse_conversation_halls
+ high_signal_halls + _flatten_bullet helpers
- scripts/wiki-maintain.sh: Phase 1a distill, new flags
- tests/test_wiki_distill.py (21 new tests — hall parsing, rollup,
state management, CLI smoke tests)
- tests/test_shell_scripts.py: updated phase-name assertion for
the Phase 1a/1b split
## Docs additions
- README.md: 8th row in extensions table, updated compounding-loop
diagram, new wiki-distill.py reference in architecture overview
- docs/DESIGN-RATIONALE.md: new section 8 "Closing the MemPalace
loop" with full mempalace taxonomy mapping
- docs/ARCHITECTURE.md: wiki-distill.py section, updated phase
order, updated state file table, updated dep graph
- docs/SETUP.md: updated cron comment, first-run distill guidance,
verify section test count
- .gitignore: note distill-state.json is committed (sync across
machines), not gitignored
- docs/artifacts/signal-and-noise.html: new "Distill ⬣" top-level
tab with flow diagram, hall filter table, narrow-today/wide-
history explanation, staging provenance example
## Tests
192 tests total (+21 new, +1 regression fix), all green in ~1.5s.
Two changes, one commit:
1. Reframe "weaknesses" as "extensions memex adds":
Karpathy's gist is a concept pitch, not an implementation. Reframe
the seven places memex extends the pattern as engineering-layer
additions rather than problems to fix. Cleaner narrative — memex
builds on Karpathy's work instead of critiquing it.
Touches README.md (Why each part exists + Credits) and
DESIGN-RATIONALE.md (section titles, trade-off framing, biggest
layer section, scope note at the end).
2. Replace docs/artifacts/signal-and-noise.html with the full
upstream version:
The earlier abbreviated copy dropped the MemPalace integration tab,
the detailed mitigation steps with effort pips, the impact
before/after cards, and the qmd vs ChromaDB comparison. This
restores all of that. Also swaps self-references from "LLM Wiki"
to "memex" while leaving external "LLM Wiki v2" community
citations alone (those refer to a separate pattern and aren't ours
to rename).
The live hosted copy at eric-turner.com/memex/signal-and-noise.html
has already been updated via scp — Hugo picks up static changes with
--poll 1s so the public URL reflects this file immediately.
Replace all four references to the Claude public artifact URL with the
self-hosted version at eric-turner.com/memex/signal-and-noise.html plus
the offline-capable archive at docs/artifacts/signal-and-noise.html.
The Claude artifact can now be unpublished without breaking any links
in the repo. The self-hosted HTML is deployed to the Hugo site's static
directory and lives alongside the archived copy in this repo — either
can stand on its own.
A compounding LLM-maintained knowledge wiki.
Synthesis of Andrej Karpathy's persistent-wiki gist and milla-jovovich's
mempalace, with an automation layer on top for conversation mining, URL
harvesting, human-in-the-loop staging, staleness decay, and hygiene.
Includes:
- 11 pipeline scripts (extract, summarize, index, harvest, stage,
hygiene, maintain, sync, + shared library)
- Full docs: README, SETUP, ARCHITECTURE, DESIGN-RATIONALE, CUSTOMIZE
- Example CLAUDE.md files (wiki schema + global instructions) tuned for
the three-collection qmd setup
- 171-test pytest suite (cross-platform, runs in ~1.3s)
- MIT licensed
