openclaw-history-ingest

OpenClaw History Ingest — Session & Memory Mining

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Install skill "openclaw-history-ingest" with this command: npx skills add ar9av/obsidian-wiki/ar9av-obsidian-wiki-openclaw-history-ingest

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

  • Read .env to get OBSIDIAN_VAULT_PATH and OPENCLAW_HISTORY_PATH (default to ~/.openclaw if unset)

  • Read .manifest.json at the vault root to check what has already been ingested

  • 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

  • workspace/MEMORY.md — highest signal; long-term durable facts the agent accumulated

  • workspace/memory/YYYY-MM-DD.md — daily notes; recent entries often contain active project context

  • agents/*/sessions/<id>.jsonl — session transcripts; rich but noisy

  • agents/*/sessions/sessions.json — session index for inventory and timestamps

  • 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 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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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