generated from coulomb/repo-seed
714eaf6b5adc3ce98c45503fc44f2d13f1f53085
Extend the cross-dive synthesis from nine systems to the full fourteen (added Joplin, Logseq, the CRDT cohort Anytype/AFFiNE/AppFlowy, Trilium). Spectra grown 11 -> 13: new merge-model (none/git/conflict-notes/ native-CRDT) and content-opacity (plaintext/whole-shard-E2EE/per-item), plus identity-vs-placement emphasis (Trilium note/branch DAG), Logseq's in-file id:: addressing sweet spot, build-your-own derived query index, and a six-mode attachment taxonomy (file-store native/interchange-mirror, in-engine-host, local-REST, external-API, CRDT-replica, P2P). New through-lines: CRDT changes the merge math; identity != placement; metadata can be computed; attach surface != native store (+ substrate migration). UC fold-in extended UC-44-59 -> UC-44-67. Folded into SHARD-WP-0002: T11 thirteen spectra; T12 computed metadata + multi-placement/DAG identity; T13 CRDT-log supplement; T14 full six-mode attachment taxonomy; T15 HTML source model; T16 identity!=placement + derived index. Context inputs += four dives; acceptance UC-26-67. No new tasks, no new UCs (synthesis only). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
shard-wiki
Git-based Markdown wiki orchestrator and federation layer.
shard-wiki joins heterogeneous wiki-shaped page stores (shards) into a
coherent information space while preserving provenance, capabilities, and
history. It is an orchestration layer, not a wiki engine.
Status
Early-stage: Python scaffold, intent and specification groundwork, active design
workplan. See SCOPE.md for current maturity.
Documentation
| Document | Purpose |
|---|---|
| INTENT.md | Aspiration and boundaries |
| SCOPE.md | What we achieve now |
| AGENTS.md | Agent working guide |
| docs/repository-layout.md | How this repo organizes information |
Quick start
pip install -e ".[dev]"
pytest
Layout
research/ explorations (yymmdd-prefixed)
demand/ inbound unreviewed requirements
spec/ implementation specifications
workplans/ State Hub–registered tasks
docs/ stakeholder documentation
wiki/ collaborative knowledge (wiki UI when connected)
issues/ ticket mirrors
history/ archived material (yymmdd-prefixed)
Languages
Python
89.6%
HTML
4.9%
CSS
1.9%
Perl
1.6%
Makefile
1.1%
Other
0.9%