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open-knowledge-studio

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A knowledge engineering workspace for Claude Code — raw → wiki → recall. Open Knowledge Studio is a file-based knowledge base system designed for use with Claude Code. It provides: OKS 不是一个要求用户长期坐在里面写作、整理页面的笔记软件。它不试图替代 Obsidian、Notion、Roam 或用户已有的编辑器。OKS 负责的是:把用户已有的文件、网页、媒体、平台内容和主动提交的信息,经 Agent 提取、人工审核后,沉淀成可召回的文件系统知识。 A strong workflow: save the source into raw/, then distill the parts worth keeping into wiki/ memories. pipx avoids PEP 668 externally-managed-environment errors on Ubuntu 24.04+ and macOS Homebrew Python (get pipx: sudo apt install pipx / brew install pipx / Windows py…

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CLAUDE.md

Open Knowledge Studio

A knowledge engineering workspace for Claude Code — raw → wiki → recall.

What is this?

Open Knowledge Studio is a file-based knowledge base system designed for use with Claude Code. It provides:

OKS 不是一个要求用户长期坐在里面写作、整理页面的笔记软件。它不试图替代 Obsidian、Notion、Roam 或用户已有的编辑器。OKS 负责的是:把用户已有的文件、网页、媒体、平台内容和主动提交的信息,经 Agent 提取、人工审核后,沉淀成可召回的文件系统知识。

  • 5 cognitive buckets (profiles/, raw/, wiki/, drafts/, mail/) + 2 infrastructure layers (settings/, _meta/): profiles/ incl. recipes, goals; mail/ is short-lived coordination, not recallable knowledge
  • Agent-Native ingestion pipeline: Source → Provider → EvidenceFragment → EvidenceManifest → oks raw-commit → Raw Bundle v0.2 → Candidate → Human Review → Wiki
  • 6+1-factor recall engine: token overlap + substring + topic trace + type boost + review bonus (failure lessons rank higher) + memory curve + optional goal boost (active goals lift on-scope pages; no-op without goals)
  • 4 knowledge relationships: supersedes, enriches, confirms, challenges (CONSTITUTION A4)
  • Recipes & goals: executable automation recipes + goal-aware recall boosting
  • Dreaming cycle: raw → AI distill → drafts → human review → wiki
  • Decay system: memory curve scoring with type-specific λ, tier classification (hot/warm/cold/evictable)
  • Date-based raw/: raw/{YYYY}/{MM}/{DD}/{source}/ — auto-organized by intake date + source category
  • Global config: ~/.oks/config.json enables cross-project access from any directory
  • CLI tool (oks): recall, raw-commit, ingest, init, skills-install, wiki CRUD, drafts, distill, lint, status, metrics, capability, schema, security, mail, registry, trace, eval, hook, config (run oks --help for the authoritative list)

Raw Material vs Memory — The Core Distinction

Raw Material (raw/)Memory (wiki/)
WhatOriginal article, paper, repo note, or conversationDurable takeaway, distilled and curated
Who writesHuman collects, LLM reads onlyLLM writes via Dreaming, human approves
DecayNoneType-specific λ
RecallKeyword + freshness6+1-factor relevance + memory curve
AdvantageDate-based ({YYYY}/{MM}/{DD}/{source}/), A/B/C grading, fingerprint dedup22-domain structure, decay tiers, 4 relationships

A strong workflow: save the source into raw/, then distill the parts worth keeping into wiki/ memories.

Quick Start

pipx install open-knowledge-studio && pipx ensurepath
oks init my-knowledge-base
cd my-knowledge-base
oks status
oks recall "git branch"

pipx avoids PEP 668 externally-managed-environment errors on Ubuntu 24.04+ and macOS Homebrew Python (get pipx: sudo apt install pipx / brew install pipx / Windows py -m pip install --user pipx && py -m pipx ensurepath).

Developers working from source: pipx install ./cli --force to install the local checkout directly.

Core Pipeline

raw/ (human-collected or tool-processed materials)
  ↓ /ingest skill — Agent-native evidence ingestion
  ↓ Source → Judge Modality → Select Providers → Execute
  ↓ EvidenceFragment × N → EvidenceManifest
  ↓ oks raw-commit → Raw Bundle v0.2
drafts/ (intermediate proposals)
  ↓ /promote skill — human review
wiki/ (curated knowledge, with decay)
  ↓ oks recall / /query skill — 6+1-factor recall
injected into Claude Code context

Memory Architecture

See CONSTITUTION.md for the full memory design (A1-A5):

  • A1: Five cognitive buckets — four knowledge-lifecycle (profiles/raw/wiki/drafts) + mandatory mail/ coordination — and two infrastructure layers (settings=config, _meta=schema)
  • A2: Six-type memory model + injection order + source labels + conflict priority
  • A3: Dreaming — human-reviewed knowledge evolution
  • A4: Knowledge evolution — supersedes, enriches, confirms, challenges
  • A5: Atomic file writes

Directory Structure

open-knowledge-studio/
├── .claude/          # Claude Code development assets
├── .agents/          # Generic Agent skill replicas
├── .codex/           # Codex hooks config
├── profiles/         # ① Portraits — team, users, projects, recipes, goals
├── raw/              # ② Raw materials — date-based: {YYYY}/{MM}/{DD}/{source}/
├── wiki/             # ③ Curated, human-reviewed knowledge
├── drafts/           # ④ Dreaming candidates
├── mail/             # ⑤ Coordination and human-Agent evaluation evidence
├── settings/         # ⑥ Config layer — decay, tool registry, input sources
├── _meta/            # ⑦ Schema layer — raw evidence shape contract
├── templates/        # concept, strategy, anti-pattern, draft
├── capabilities/     # Capability action catalog (actions.yaml)
├── providers/        # Provider definitions
├── recipes/          # Modality recipes
├── security/         # Credential redaction + sensitive field detection
├── cli/              # Python CLI tool (oks); packaged assets come from assets/
├── docs/             # GitHub Pages site — every .md here is a published page
├── reference-implementations/ # Optional integrations; not shipped with oks
├── records/          # Versioned acceptance + reproducible experiments
├── CONSTITUTION.md   # Memory architecture design
├── CHANGELOG.md      # Release history
└── CLAUDE.md         # This file

Claude Code Skills

SkillPurpose
/assessQ&A builds profile + active goals, verify recall boost (initial setup + tuning)
/ingestAgent-native evidence ingestion (Source → Provider → Fragment → Manifest → raw-commit)
/query6+1-factor recall → inject into context → AI answers with citations
/lintScan wiki/: frontmatter, orphans, broken links, stale
/compileRe-compile concept pages from sources → drafts/
/statusOverview: wiki count, tier distribution, drafts, quality
/archiveExtract conversation Q&A → AI summarize → drafts/ (never writes wiki directly)
/promoteReview drafts/ → promote/reject/edit
/accept ⚙Evidence-first isolated capability acceptance (maintainer-only, not in wheel)
/media-ingestExperimental video intake adapter (currently unavailable — scripts not yet packaged)

Agents skills mirror Claude skills with identical content. 4 dev-only skills are excluded from the Wheel via _DEV_ONLY_ASSET_NAMES.

CLI Commands

# Instance scaffold
oks init <path> [--set-default|--no-set-default] [--git|--no-git] [--upgrade] [--force]
oks skills-install [--force]

# Raw ingestion
oks raw-commit <manifest-dir> [--output/-o <dir>] [--overwrite] [--json/--text]
oks ingest prepare <source>
oks ingest run <source>   # compatibility entry point; no Wiki promotion

# Recall (the single retrieval entry — Agent-facing, injected via hook)
oks recall <query> [--topic-id ID] [--limit 5] [--scope AREA] [--type strategy] [--knowledge-only] [--goal active|none|SLUG] [--format table|json] [--explain]
oks wiki list [--domain] [--type] [--status active]
oks wiki get <slug>
oks wiki create --title "..." --type concept --area computing --importance 0.7
oks wiki pin <slug> | archive <slug>
oks wiki use <slug>   # explicit "this page was used" signal (recall is read-only)
oks drafts list | get <slug> | promote <slug> | reject <slug>
oks distill [--dry-run]
oks lint | status | metrics | decay
oks fs ls|tree|stat|read|overview|find <uri-or-query>  # read-only VFS
oks capability list | status [--json/--text] | guide <provider-id>
oks capability install <name> [--yes]
oks hook install [--editor claude|qoder|codex|both] [--path DIR]   # prompt recall + post-tool conflict detection
oks hook status                                                     # wired state + Codex /hooks trust reminder
oks eval recall <dataset.yaml> --output <run.json>
oks eval compare <baseline.json> <candidate.json> [--output <comparison.json>]
oks trace start <goal-id> [--run-id ID]
oks trace append <run-id> --type <event> --actor <actor> --payload '<json>'
oks trace judge <run-id> --outcome pass --comment "..."
oks trace feedback <run-id> --outcome accepted --comment "..."
oks trace propose <run-id> --kind wiki|skill --title "..." --summary "..."
oks trace finish <run-id> --result '{"outcome":"success"}'
oks trace validate <run-id> [--completed]
oks config init | show | set <key> <value>
oks team init <path> [--name NAME]
oks schema show <document-kind>
oks security sanitize <file>

Conventions

  • raw/ is human-collected or tool-processed. Tools preserve maximum fidelity — they convert format, not knowledge. LLM does not write knowledge to raw/.
  • wiki/ is LLM-written, human-approved via drafts/ review.
  • Intake is Agent-orchestrated — /ingest is the recommended path. oks ingest run is a compatibility entry point that delegates mechanical acquisition and extraction to the separately packaged oks-connector.
  • Global config (~/.oks/config.json) enables cross-project access — oks recall works from any directory (resolution: OKS_ROOT env → config knowledge_base_path → cwd).
  • Code repo vs instance repo — THIS repo is the reusable tool/template: it ships clean (wiki/ & drafts/ gitignored) so others can use it. Your personal knowledge lives in a separate instance created by oks init <path>, which TRACKS memory in git. Practices proven in an instance flow back here as PRs.
  • Git IS the migration — no database, schema changes versioned through _meta/.
  • Atomic writes — all persistent writes use mkstemp + fsync + os.replace.
  • Never auto-promote raw content to wiki/ without human review.

Project-specific safety rules

  • Personal knowledge lives in a separate instance created by oks init <path>; this repository is reusable Studio code and must not remain the long-term destination for personal Wiki or Raw state.
  • Every git push, Pull Request create/update/close, Merge, Pages/Release publication, deployment, remote setting change, or external message requires the user's explicit authorization for that exact action. A general “continue” or authorization for a different action does not count.
  • Without that authorization, stop after local editing, validation, diff review, and read-only remote inspection. A Draft PR is still an external action.
  • Context compaction is controlled by the client or runtime; this file cannot set an automatic threshold or reveal an unexposed usage percentage. If the client explicitly reports 80% usage, or at major milestones and around unusually large tool output, preserve a structured checkpoint before invoking an actually available compaction mechanism.
  • Preserve partial, failed, and skipped states exactly. Mechanical extraction, AI interpretation, human review, and Wiki promotion are separate layers and must remain traceable.

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