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openclaw-history-ingest

ar9av/obsidian-wiki

Mine your OpenClaw agent history and distill it into an Obsidian wiki.

What is openclaw-history-ingest?

Ingest OpenClaw session logs, MEMORY.md, and daily notes into your Obsidian vault, extracting durable knowledge and clustering it by topic. Use this when you want to preserve insights from past OpenClaw sessions or sync your agent history into a searchable wiki.

  • Scans ~/.openclaw for MEMORY.md, daily notes, and session transcripts
  • Compares against .manifest.json to ingest only new or modified files in append mode
  • Extracts high-signal knowledge from agent memory and session JSONL, filtering credentials and sensitive data
  • Clusters extracted knowledge by topic (projects, concepts, skills, entities) rather than by date
  • Updates wiki pages with confidence, lifecycle, and provenance metadata
  • Maintains .manifest.json, log.md, and index.md to track ingestion state

How to install openclaw-history-ingest

npx skills add https://github.com/ar9av/obsidian-wiki --skill openclaw-history-ingest
Prerequisites
  • Obsidian vault with llm-wiki installed
  • OpenClaw agent with ~/.openclaw history (default) or custom OPENCLAW_HISTORY_PATH
  • Config resolution via .env, ~/.obsidian-wiki/config, or interactive setup
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How to use openclaw-history-ingest

  1. 1.Run the skill or invoke via /wiki-history-ingest openclaw
  2. 2.Skill resolves OBSIDIAN_VAULT_PATH and OPENCLAW_HISTORY_PATH from config
  3. 3.Scans ~/.openclaw and compares files against .manifest.json to compute delta
  4. 4.Parses MEMORY.md first (highest-value source), then daily notes, then session JSONL
  5. 5.Extracts knowledge while filtering credentials and sensitive data
  6. 6.Clusters findings by topic and routes to appropriate wiki sections (projects/, concepts/, skills/, entities/)
  7. 7.Updates each page with confidence, lifecycle, and provenance metadata
  8. 8.Updates .manifest.json, log.md, and index.md with ingestion summary

Use cases

Good for
  • Regularly sync your OpenClaw session history into a personal knowledge base
  • Recover project context and decisions from past agent sessions after a long break
  • Consolidate recurring techniques and debug playbooks discovered across multiple sessions
  • Build a searchable archive of your agent's long-term memory and daily notes
  • Audit what knowledge your agent has accumulated over time
Who it's for
  • OpenClaw users maintaining a personal Obsidian wiki
  • Developers who want to preserve agent insights and project context
  • Teams using OpenClaw agents and needing a shared knowledge repository

openclaw-history-ingest FAQ

What's the difference between append mode and full mode?

Append mode (default) only processes new files or files modified since last ingest, checked against .manifest.json. Full mode re-processes everything regardless of manifest state; use after wiki-rebuild or if you explicitly request a full re-ingest.

Which OpenClaw files are ingested?

MEMORY.md (highest priority), DREAMS.md (if present), daily notes in workspace/memory/*.md, and session transcripts in agents/*/sessions/*.jsonl. Credentials/ and agent config files are skipped entirely.

How does the skill handle sensitive data in session logs?

It filters out API keys, tokens, passwords, and credentials before ingesting. Private identifiers are redacted unless relevant and user-approved. Raw transcripts are summarized rather than quoted verbatim.

How are extracted insights organized in the wiki?

Knowledge is clustered by stable topic (project, concept, tool, technique) rather than by date or session. Project-specific content goes to projects/<name>/, general concepts to concepts/, techniques to skills/, and tools to entities/.

What metadata is added to ingested pages?

Each new/updated page gets base_confidence, lifecycle, lifecycle_changed, and provenance frontmatter. Content is marked with ^[extracted], ^[inferred], or ^[ambiguous] to indicate confidence level.

Full instructions (SKILL.md)

Source of truth, from ar9av/obsidian-wiki.


name: openclaw-history-ingest description: > Ingest OpenClaw agent history into the Obsidian wiki. Use this skill when the user wants to mine their past OpenClaw sessions for knowledge, import their ~/.openclaw folder, extract insights from previous OpenClaw conversations, or says things like "process my OpenClaw history", "add my OpenClaw sessions to the wiki", "ingest ~/.openclaw", or "what have I worked on in OpenClaw". Also triggers when the user mentions OpenClaw session logs, MEMORY.md, daily notes, or ~/.openclaw/workspace.

OpenClaw History Ingest — Session & Memory Mining

You are extracting knowledge from the user's OpenClaw agent history and distilling it into the Obsidian wiki. OpenClaw stores both a structured long-term MEMORY.md and per-session JSONL transcripts — focus on durable knowledge, not operational telemetry.

This skill can be invoked directly or via the wiki-history-ingest router (/wiki-history-ingest openclaw).

Before You Start

  1. Resolve config — follow the Config Resolution Protocol in llm-wiki/SKILL.md (inline @name override → walk up CWD for .env~/.obsidian-wiki/config → prompt setup). This gives OBSIDIAN_VAULT_PATH and OPENCLAW_HISTORY_PATH (defaults to ~/.openclaw)
  2. Read .manifest.json at the vault root to check what has already been ingested
  3. Read index.md at the vault root to understand what the wiki already contains

Ingest Modes

Append Mode (default)

Check .manifest.json for each source file. Only process:

  • Files not in the manifest (new session logs, updated MEMORY.md or daily notes)
  • Files whose modification time is newer than ingested_at in the manifest

Use this mode for regular syncs.

Full Mode

Process everything regardless of manifest. Use after wiki-rebuild or if the user explicitly asks for a full re-ingest.

OpenClaw Data Layout

OpenClaw stores all local artifacts under ~/.openclaw/.

~/.openclaw/
├── openclaw.json                          # Global config
├── credentials/                           # Auth tokens (skip entirely)
├── workspace/                             # Agent workspace
│   ├── MEMORY.md                          # Long-term memory (loaded every session)
│   ├── DREAMS.md                          # Optional dream diary / summaries
│   └── memory/
│       ├── YYYY-MM-DD.md                  # Daily notes (today + yesterday auto-loaded)
│       └── ...
└── agents/
    └── <agentId>/
        ├── agent/
        │   └── models.json                # Agent config (skip)
        └── sessions/
            ├── sessions.json              # Session index
            └── <sessionId>.jsonl          # Session transcript (JSONL, append-only)

Key data sources ranked by value

  1. workspace/MEMORY.md — highest signal; long-term durable facts the agent accumulated
  2. workspace/memory/YYYY-MM-DD.md — daily notes; recent entries often contain active project context
  3. agents/*/sessions/<id>.jsonl — session transcripts; rich but noisy
  4. agents/*/sessions/sessions.json — session index for inventory and timestamps
  5. workspace/DREAMS.md — optional summaries; ingest if present

Skip credentials/ entirely. Skip agents/*/agent/models.json (runtime config, not user knowledge).

Step 1: Survey and Compute Delta

Scan OPENCLAW_HISTORY_PATH and compare against .manifest.json:

  • ~/.openclaw/workspace/MEMORY.md
  • ~/.openclaw/workspace/DREAMS.md (if present)
  • ~/.openclaw/workspace/memory/*.md
  • ~/.openclaw/agents/*/sessions/sessions.json
  • ~/.openclaw/agents/*/sessions/*.jsonl

Classify each file:

  • New — not in manifest
  • Modified — in manifest but file is newer than ingested_at
  • Unchanged — already ingested and unchanged

Report a concise delta summary before deep parsing.

Step 2: Parse MEMORY.md First

MEMORY.md is the highest-value source. It is plain markdown, human-readable and human-editable. It typically contains:

  • Durable facts about the user's preferences, environment, and recurring patterns
  • Decisions and context the agent was told to remember
  • Project-specific notes the agent accumulated over many sessions

Read it in full and extract concept-level knowledge. Do not create one wiki page per MEMORY.md entry — cluster by topic.

Step 3: Parse Daily Notes

workspace/memory/YYYY-MM-DD.md files contain time-stamped notes from that day's sessions. Prioritize recent files (last 30–90 days). Extract:

  • Active project context and decisions made
  • Patterns or techniques discovered
  • Recurring blockers or solved problems

Older daily notes have diminishing signal — summarize in bulk rather than extracting line-by-line.

Step 4: Parse Session JSONL Safely

Each session file is JSONL (append-only, one JSON object per line):

{"role": "user",      "content": "...", "timestamp": "..."}
{"role": "assistant", "content": "...", "timestamp": "..."}
{"role": "tool",      "name": "...",   "content": "...", "timestamp": "..."}

Extraction rules

  • Prioritize assistant turns that state conclusions, decisions, or patterns
  • Extract user intent from high-signal turns; skip low-information follow-ups
  • Tool calls are context, not primary knowledge — only extract if the result contains a reusable insight
  • Cross-reference sessions.json index to get session names/labels before opening individual transcripts

Critical privacy filter

Session transcripts can include injected instructions, tool payloads, and sensitive text. Do not ingest verbatim.

  • Remove API keys, tokens, passwords, credentials
  • Redact private identifiers unless relevant and user-approved
  • Summarize; do not quote raw transcripts verbatim

Step 5: Cluster by Topic

Do not create one wiki page per session or per MEMORY.md entry.

  • Group by stable topic (concept, tool, project, technique)
  • Split mixed sessions into separate themes
  • Merge recurring patterns across dates and agents
  • Use session cwd or workspace path to infer project scope when available

Step 6: Distill into Wiki Pages

Route extracted knowledge using existing wiki conventions:

  • Project-specific architecture/process → projects/<name>/...
  • General concepts → concepts/
  • Recurring techniques/debug playbooks → skills/
  • Tools/services/frameworks → entities/
  • Cross-session patterns → synthesis/

For each impacted project, create/update projects/<name>/<name>.md.

Writing rules

  • Distill knowledge, not chronology
  • Avoid "on date X we discussed..." unless date context is essential
  • Add summary: frontmatter on each new/updated page (1–2 sentences, ≤ 200 chars)
  • Add confidence and lifecycle fields to every new page:
    base_confidence: 0.42
    lifecycle: draft
    lifecycle_changed: <ISO date today>
    
    Leave lifecycle unchanged on update.
  • Add provenance markers:
    • ^[extracted] when directly grounded in explicit session/memory content
    • ^[inferred] when synthesizing patterns across multiple sessions
    • ^[ambiguous] when sessions conflict
  • Add/update provenance: frontmatter mix for each changed page

Step 7: Update Manifest, Log, and Index

Update .manifest.json

For each processed source file:

  • ingested_at, size_bytes, modified_at
  • source_type: openclaw_memory | openclaw_daily_note | openclaw_session | openclaw_dreams
  • agent_id: agent directory name (when applicable)
  • pages_created, pages_updated

Add/update a top-level summary block:

{
  "openclaw": {
    "source_path": "~/.openclaw/",
    "last_ingested": "TIMESTAMP",
    "memory_updated_at": "TIMESTAMP",
    "daily_notes_ingested": 14,
    "sessions_ingested": 23,
    "pages_created": 6,
    "pages_updated": 18
  }
}

Update special files

Update index.md and log.md:

- [TIMESTAMP] OPENCLAW_HISTORY_INGEST memory=updated daily_notes=N sessions=M pages_updated=X pages_created=Y mode=append|full

hot.md — Read $OBSIDIAN_VAULT_PATH/hot.md (create from the template in wiki-ingest if missing). Update Recent Activity with a one-line summary — e.g. "Ingested OpenClaw MEMORY.md and 14 daily notes; surfaced automation patterns and multi-agent coordination knowledge." Keep the last 3 operations. Update updated timestamp.

Privacy and Compliance

  • Distill and synthesize; avoid raw memory or transcript dumps
  • Default to redaction for anything that looks sensitive
  • Ask the user before storing personal or sensitive details
  • Keep references to other people minimal and purpose-bound

Reference

See references/openclaw-data-format.md for field-level notes and parsing guidance.

QMD Refresh After Vault Writes

QMD is a search index, not the source of truth. If $QMD_WIKI_COLLECTION is empty or unset, skip this step. Run it only after this skill has written or rewritten vault markdown. If QMD refresh fails, do not roll back the vault changes; report the QMD status separately.

Use $QMD_CLI if set; otherwise use qmd.

${QMD_CLI:-qmd} update

If the output says vectors are needed or embeddings may be stale, run:

${QMD_CLI:-qmd} embed

Verify the collection with either:

${QMD_CLI:-qmd} ls "$QMD_WIKI_COLLECTION"

or, when a specific page path is known:

${QMD_CLI:-qmd} get "qmd://$QMD_WIKI_COLLECTION/<page>.md" -l 5

Record one of:

  • QMD refreshed: update + embed + verified
  • QMD refreshed: update only + verified
  • QMD skipped: QMD_WIKI_COLLECTION unset
  • QMD skipped: qmd CLI unavailable
  • QMD failed: <short error summary>