hermes-history-ingest
ar9av/obsidian-wiki
Extract knowledge from your Hermes agent history and sync it into your Obsidian wiki.
What is hermes-history-ingest?
Ingest Hermes agent memories and session transcripts into an Obsidian wiki, distilling durable knowledge from past conversations. Use this when you want to mine your ~/.hermes folder for insights, archive session learnings, or consolidate agent memories into a searchable wiki.
- Scan ~/.hermes/memories and sessions for new or modified files
- Parse Markdown and JSON memories, extracting core knowledge claims
- Extract high-signal insights from JSONL session transcripts while filtering sensitive data
- Cluster related knowledge by topic and merge into existing wiki pages
- Update .manifest.json to track ingestion state and avoid reprocessing
- Generate provenance markers (extracted/inferred/ambiguous) for traceability
How to install hermes-history-ingest
npx skills add https://github.com/ar9av/obsidian-wiki --skill hermes-history-ingest- Obsidian vault with .manifest.json at root
- Hermes installation with ~/.hermes folder (or custom $HERMES_HOME)
- obsidian-wiki skill installed and configured
- Read access to HERMES_HISTORY_PATH and OBSIDIAN_VAULT_PATH
How to use hermes-history-ingest
- 1.Resolve config via Config Resolution Protocol to set OBSIDIAN_VAULT_PATH and HERMES_HISTORY_PATH
- 2.Read .manifest.json to check what has already been ingested
- 3.Scan ~/.hermes/memories and sessions to compute delta (new, modified, unchanged files)
- 4.Parse memories first (highest-value source), extracting knowledge claims and tags
- 5.Extract session JSONL insights while filtering credentials and sensitive data
- 6.Cluster related knowledge by topic rather than creating one page per memory
- 7.Route distilled knowledge to appropriate wiki locations (projects/, concepts/, skills/, entities/)
- 8.Run obsidian-wiki memory sync command to update .manifest.json, index.md, log.md, and hot.md
Use cases
- Archive recurring debugging patterns and solutions from past Hermes sessions into a searchable wiki
- Consolidate project-specific learnings from multiple agent conversations into project documentation
- Extract tool usage patterns and techniques from session logs into a skills reference
- Sync persistent agent memories into a personal knowledge base for long-term retention
- Rebuild wiki knowledge after major updates using full re-ingest mode
- Knowledge workers using Hermes agents who want to preserve and organize session insights
- Teams maintaining shared Obsidian wikis and needing to integrate agent-generated knowledge
- Researchers and developers tracking patterns across multiple agent interactions
- Anyone building a personal knowledge management system from agent conversation history
hermes-history-ingest FAQ
Append mode (default) only processes new files or files modified since last ingest, checked against .manifest.json. Full mode reprocesses everything regardless of manifest state; use it after wiki-rebuild or explicit user request for complete re-ingest.
The skill applies a critical privacy filter: removes API keys, tokens, passwords, and credentials; redacts private identifiers unless relevant and user-approved; summarizes rather than quoting raw transcripts verbatim.
No. Group memories by stable topic (concept, tool, project, technique), split mixed sessions into separate themes, and merge recurring patterns across dates. This produces a coherent wiki structure rather than scattered single-item pages.
Add ^[extracted] for content directly grounded in explicit memory/session, ^[inferred] for patterns synthesized across multiple memories, and ^[ambiguous] when memories conflict. Include base_confidence and lifecycle fields on every new page.
Yes. The skill checks .manifest.json to track ingestion state, so repeated runs in append mode will only process new or modified files. Use full mode to force reprocessing of all files.
Full instructions (SKILL.md)
Source of truth, from ar9av/obsidian-wiki.
name: hermes-history-ingest description: > Ingest Hermes agent history into the Obsidian wiki. Use this skill when the user wants to mine their past Hermes sessions for knowledge, import their ~/.hermes folder, extract insights from previous Hermes conversations, or says things like "process my Hermes history", "add my Hermes memories to the wiki", "ingest ~/.hermes", or "what have I worked on in Hermes". Also triggers when the user mentions Hermes memories, Hermes sessions, ~/.hermes/memories, or Hermes skill logs.
Hermes History Ingest — Conversation & Memory Mining
You are extracting knowledge from the user's Hermes agent history and distilling it into the Obsidian wiki. Hermes stores both free-form memories and structured session transcripts — focus on durable knowledge, not operational telemetry.
This skill can be invoked directly or via the wiki-history-ingest router (/wiki-history-ingest hermes).
Before You Start
Writing profile: Before drafting or rewriting natural-language Markdown, read and apply the Writing Profile Resolution section in llm-wiki/SKILL.md. Framework schema, provenance, safety, and operation-specific requirements take precedence.
WRITING.md preferences apply only to newly drafted or rewritten natural-language Markdown; preserve source content and structured records.
- Resolve config — follow the Config Resolution Protocol in
llm-wiki/SKILL.md(inline@nameoverride → walk up CWD for.env→ global config → prompt setup). This givesOBSIDIAN_VAULT_PATHandHERMES_HISTORY_PATH(defaults to~/.hermes) - Read
.manifest.jsonat the vault root to check what has already been ingested - Read
index.mdat 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 memory files, new session logs)
- Files whose modification time is newer than
ingested_atin 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.
Hermes Data Layout
Hermes stores all local artifacts under ~/.hermes/ (or $HERMES_HOME for non-default profiles).
~/.hermes/
├── memories/ # Persistent agent memories (markdown or JSON)
│ └── *.md / *.json
├── skills/ # Installed skills (read-only for ingest purposes)
│ └── <skill-name>/SKILL.md
├── sessions/ # Session transcripts (if session logging is enabled)
│ └── YYYY-MM-DD/
│ └── <session-id>.jsonl
├── config.yaml # User config (model, theme, paths)
└── .hub/ # Skills Hub state (lock.json, audit.log, quarantine/)
Key data sources ranked by value
memories/*.md/memories/*.json— highest signal; curated persistent knowledge the agent accumulatedsessions/**/*.jsonl— structured turn-by-turn transcripts; rich but noisyconfig.yaml— metadata only (model preferences, paths); rarely worth ingesting
Skip .hub/ internals (audit/quarantine state) and the skills/ directory (source material, not user knowledge).
Step 1: Survey and Compute Delta
Scan HERMES_HISTORY_PATH and compare against .manifest.json:
~/.hermes/memories/~/.hermes/sessions/**/(if present)
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 Memories First
Memories are the highest-value source. Hermes writes them as either:
- Markdown — structured prose with optional frontmatter; ingest directly
- JSON —
{"content": "...", "created_at": "...", "tags": [...]}records
For each memory:
- Extract the core knowledge claim
- Note any tags Hermes attached (they often map to wiki categories)
- Merge into the appropriate wiki page rather than creating one memory = one page
Step 3: Parse Session JSONL Safely
Each session JSONL line is an event envelope. Common shapes:
{"role": "user", "content": "..."}
{"role": "assistant", "content": "..."}
{"type": "tool_use", "name": "...", "input": {...}}
{"type": "tool_result", "content": "..."}
Extraction rules
- Prioritize assistant responses that state conclusions, patterns, or decisions
- Extract user intent from high-signal turns; skip low-information follow-ups
- Treat
tool_use/tool_resultpairs as context, not primary content - Skip token accounting, internal plumbing, and repeated plan echoes
Critical privacy filter
Session logs 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 4: Cluster by Topic
Do not create one wiki page per memory or session.
- Group memories by stable topic (concept, tool, project, technique)
- Split mixed sessions into separate themes
- Merge recurring patterns across dates and projects
- Use file paths or session
cwdmetadata to infer project scope when available
Step 5: 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:
Leavebase_confidence: 0.42 lifecycle: draft lifecycle_changed: <ISO date today>lifecycleunchanged on update. - Add provenance markers:
^[extracted]when directly grounded in explicit memory/session content^[inferred]when synthesizing patterns across multiple memories^[ambiguous]when memories conflict
- Add/update
provenance:frontmatter mix for each changed page
Step 6: Update Manifest, Log, and Index
Update .manifest.json
For each processed source file:
ingested_at,size_bytes,modified_atsource_type:hermes_memory|hermes_sessionproject: inferred project name (when applicable)pages_created,pages_updated
Add/update a top-level summary block:
{
"hermes": {
"source_path": "~/.hermes/",
"last_ingested": "TIMESTAMP",
"memories_ingested": 42,
"sessions_ingested": 7,
"pages_created": 5,
"pages_updated": 12
}
}
Update special files
Update index.md, log.md, and hot.md with one locked call:
obsidian-wiki memory sync HERMES_HISTORY_INGEST \
memories=<memories> sessions=<sessions> pages_updated=<pages_updated> \
pages_created=<pages_created> mode=<mode> \
--takeaways "Ingested 42 Hermes memories and 7 sessions; dominant themes: reasoning strategies, tool use patterns."
Never hand-edit index.md, log.md, or hot.md — the command takes the lock that keeps a parallel writer from dropping your update. --takeaways is the one-line conceptual summary that used to go in Recent Activity;
omit it to leave the previous takeaways untouched.
See .skills/llm-wiki/references/MEMORY.md for the full procedure.
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/hermes-data-format.md for field-level notes and extraction 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 + verifiedQMD refreshed: update only + verifiedQMD skipped: QMD_WIKI_COLLECTION unsetQMD skipped: qmd CLI unavailableQMD failed: <short error summary>
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