hermes-history-ingest
Skill3 starsChanged 13 days agoMITView on GitHub
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.
- Reads credentials
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Ar9av/obsidian-wikiedited, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- Ar9av/obsidian-wiki★ 3.7k71% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository30 other files it gives its agents.
- claude-history-ingestSkill
- cross-linkerSkill
- daily-updateSkill
- graph-colorizeSkill
- impl-validatorSkill
- llm-wikiSkill
- memory-bridgeSkill
- skill-creatorSkill
- tag-taxonomySkill
- vault-skill-factorySkill
- wiki-agentSkill
- wiki-captureSkill
- wiki-context-packSkill
- wiki-dashboardSkill
- wiki-dedupSkill
- wiki-digestSkill
- wiki-exportSkill
- wiki-history-ingestSkill
- wiki-importSkill
- wiki-ingestSkill
- wiki-lintSkill
- wiki-querySkill
- wiki-rebuildSkill
- wiki-researchSkill
- wiki-setupSkill
- wiki-stage-commitSkill
- wiki-statusSkill
- wiki-switchSkill
- wiki-synthesizeSkill
- wiki-updateSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
19 rules. About 0 are common, 9 are distinctive, and 10 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
10
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Read .manifest.json at the vault root to check what has already been ingested
- Very specific: line 21
Read index.md at the vault root to understand what the wiki already contains
- Very specific: line 27
Check .manifest.json for each source file.
- Distinctive: line 32
Use this mode for regular syncs.
- Very specific: line 106
Treat tool_use / tool_result pairs as context, not primary content
- Distinctive: line 113
Remove API keys, tokens, passwords, credentials
- Distinctive: line 119
Do not create one wiki page per memory or session.
- Very specific: line 124
Use file paths or session cwd metadata to infer project scope when available
- Distinctive: line 141
Avoid "on date X we discussed..." unless date context is essential
- Very specific: line 142
Add summary: frontmatter on each new/updated page (1–2 sentences, ≤ 200 chars)
- Distinctive: line 143
Add confidence and lifecycle fields to every new page:
- Very specific: line 149
Leave lifecycle unchanged on update.
- Very specific: line 154
Add/update provenance: frontmatter mix for each changed page
- Distinctive: line 167
Add/update a top-level summary block:
- Very specific: line 184
Update index.md and log.md:
- Distinctive: line 195
Default to redaction for anything that looks sensitive
- Distinctive: line 196
Ask the user before storing personal or sensitive details
- Distinctive: line 197
Keep references to other people minimal and purpose-bound
- Very specific: line 208
When it is set, read llm-wiki/references/qmd.md and follow the *Refresh* section after this skill has written vault markdown.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
- Resolve config — follow the Config Resolution Protocol in
llm-wiki/SKILL.md(inline@nameoverride → walk up CWD for.env→~/.llm-wiki/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 — read the vault's CATEGORIES table (AGENTS.md, or llm-wiki layout --json) and use the folder holding each role; the paths below are a standard vault's, and a role no row claims falls to the catch-all row:
- Project-specific architecture/process →
projects/<name>/...(only when a folder has theprojectrole) - General concepts →
conceptfolder (concepts/) - Recurring techniques/debug playbooks →
procedurefolder (concepts/in a standard vault;skills/where it still exists) - Tools/services/frameworks →
entityfolder (entities/) - Cross-session patterns →
synthesisfolder (synthesis/)
With a project folder, create/update projects/<name>/<name>.md for each impacted project. Without one, don't create projects/ (law 3): file project-specific pages globally with project: <name> in their frontmatter.
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 and log.md:
- [TIMESTAMP] HERMES_HISTORY_INGEST memories=N sessions=M pages_updated=X pages_created=Y mode=append|fullhot.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 42 Hermes memories and 7 sessions; dominant themes: reasoning strategies, tool use patterns." 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/hermes-data-format.md for field-level notes and extraction guidance.
QMD Refresh After Vault Writes
GUARD: If $QMD_WIKI_COLLECTION is unset — the default — skip this step. QMD is a
search index, not the source of truth.
When it is set, read llm-wiki/references/qmd.md and follow the Refresh section
after this skill has written vault markdown. If refresh fails, do not roll back the
vault changes; report the QMD status separately.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

