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Obsidian Vault Writer — Cross-Agent Integration Handoff

**Date**: 2026-03-01 **Author**: Claude Code (Opus 4.6) **For**: All agent sessions (Codex, Gemini, Clawdbot, Cursor, future agents) **Status**: Phase 1-4 complete, live on cloud-vm

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Obsidian Vault Writer — Cross-Agent Integration Handoff

Date: 2026-03-01
Author: Claude Code (Opus 4.6)
For: All agent sessions (Codex, Gemini, Clawdbot, Cursor, future agents)
Status: Phase 1-4 complete, live on cloud-vm

---

What This Is

The Obsidian Vault Writer is a Python module that writes structured Markdown notes to an Obsidian vault. Every note has YAML frontmatter and `[[bidirectional links]]` that create an organic knowledge graph. The vault lives on cloud-vm and syncs to all devices via Obsidian Sync (E2E encrypted).

The core idea: Every agent session, every Discord synthesis, every AAO task completion, and every Prefect flow run should produce a vault note. Over time, `[[backlinks]]` reveal connections between ideas, projects, and agents that no single system tracks.

---

File Locations

Vault Writer Module

[home-path]
├── __init__.py          # Package init, version 0.1.0
├── config.py            # VAULT_PATH, directory names, filter lists
├── slugify.py           # Unicode title → filesystem-safe slug
├── templates.py         # Markdown templates for 8 note types
├── linker.py            # [[wikilink]] extraction from synthesis JSON
├── writer.py            # VaultWriter class + CLI entry point (4 modes)
├── backfill.py          # One-time kimi_memory.db migration
├── requirements.txt     # pyyaml>=6.0
├── ARCHITECTURE.md      # Full architecture documentation
└── INTEGRATION-HANDOFF.md  # This file

Vault Directory (cloud-vm + synced to all devices)

[home-path]
├── Inbox/          # Real-time synthesis notes, by date
│   └── YYYY-MM-DD/
│       └── {HHMMSS}-{slug}.md
├── Projects/       # One note per project (evergreen index)
├── Entities/       # One note per knowledge graph entity
├── Concepts/       # Dream seed ideas
├── Sessions/       # Agent session summaries (ALL agent types)
├── Daily/          # Auto-generated daily rollups
├── Knowledge/      # Curated: Facts.md, Preferences.md, Patterns.md
└── Templates/      # 5 Obsidian templates

Integration Points (files that call the vault writer)

FileLocationTriggerWhat it writes
`synthesis-preprocessor.js``[home-path]`Discord message synthesized`Inbox/{date}/{time}-{slug}.md`
`session_end_hook.py``[home-path]`Claude Code session ends`Sessions/{date}-claudecode-{id}.md`
`aao_reputation_collector.py``[home-path]`AAO task quality assessed`Sessions/{date}-{agenttype}-{task_id}.md`
`vault_sync.py``[home-path]`Every 6h Prefect flowCatch-up synthesis + agent sessions + daily summaries

Infrastructure

ComponentLocationPortRole
obsidian-sync.servicecloud-vm systemdContinuous vault sync via `ob sync --continuous`
obsidian-headless (ob)`/usr/bin/ob` on cloud-vmNode 22+ CLI for headless Obsidian
Obsidian CloudAgent Vault (North America)E2E encrypted sync hub

---

How To Write a Vault Note (For Any Agent)

Method 1: Subprocess (fire-and-forget, recommended for hooks/daemons)

bash
echo '{"agent_type":"codex","session_id":"xyz-123","provider":"openai","model":"o3-mini","goal":"Fix auth bug","outcome":"complete","date":"2026-03-01","stats":{"duration_minutes":12.5,"prompt_count":5,"tool_call_count":30,"files_modified":["auth.py","config.py"],"files_read":["models.py"],"aao_quality":"high","aao_confidence":0.9,"aao_device_score":0.88},"project_refs":["comp-core"],"key_topics":["authentication"],"source":"codex-daemon"}' \
  | python3 -m obsidian_vault_writer.writer --mode agent-session

Environment: Set `VAULT_PATH` env var (defaults to `[home-path]`).
Working directory: Must be `[home-path]` (so Python can find the package).

Method 2: Python import (for Prefect flows or Python scripts)

python
import sys
sys.path.insert(0, str(Path.home() / "projects"))

from obsidian_vault_writer.writer import VaultWriter

writer = VaultWriter()  # Uses VAULT_PATH env or [home-path]

# Agent session note
path = writer.write_agent_session({
    "agent_type": "gemini",        # claude-code | codex | gemini | clawdbot | human | custom
    "session_id": "abc-123",
    "provider": "google",           # anthropic | openai | google | together
    "model": "gemini-2.5-pro",
    "goal": "Research N'Ko morphology",
    "outcome": "complete",           # complete | failed | cancelled | interrupted | degraded
    "date": "2026-03-01",
    "stats": {
        "duration_minutes": 25.0,
        "prompt_count": 8,
        "tool_call_count": 15,
        "files_modified": ["research.md"],
        "files_read": ["corpus.txt"],
        # Optional AAO fields (if task was AAO-gated):
        "aao_quality": "high",       # high | medium | low | failed
        "aao_confidence": 0.85,
        "aao_device_score": 0.91,
    },
    "project_refs": ["nko-linguistics"],  # Creates [[project]] links + Project stubs
    "key_topics": ["morphology", "NKo"],  # Creates [[topic]] links
    "source": "gemini-daemon",
})
print(f"Written: {path}")
# → [home-path]

Method 3: Synthesis note (for Discord/chat synthesis)

python
path = writer.write_synthesis(
    synthesis={
        "enriched_prompt": "Full context-enriched prompt...",
        "intent": "idea",
        "confidence": 0.85,
        "route": "direct",
        "dream_seeds": [{"title": "Voice NKo Keyboard", "energy": 0.7, "tags": ["NKo"]}],
        "skill_chain": ["lin:nko", "thk:quantum"],
        "knowledge_connections": [
            {"subject": "NKo keyboard", "predicate": "related_to", "object": "voice recognition"}
        ],
        "learnings": {"facts": [{"key": "nko_voice", "value": "requires tone-aware recognition"}]},
        "project_refs": ["nko-linguistics"],
    },
    message="Original user message text",
    channel="discord:ideas",
)

---

Universal Agent Session Schema

Every agent session note follows this JSON schema:

json
{
  "agent_type": "claude-code",
  "session_id": "unique-session-id",
  "provider": "anthropic",
  "model": "claude-opus-4-6",
  "goal": "What was being worked on (first 120 chars)",
  "outcome": "complete",
  "date": "2026-03-01",
  "stats": {
    "duration_minutes": 45.3,
    "prompt_count": 12,
    "tool_call_count": 87,
    "files_modified": ["file1.py", "file2.rs"],
    "files_read": ["config.py"],
    "estimated_tokens": 15000,
    "aao_quality": "high",
    "aao_confidence": 0.85,
    "aao_device_score": 0.912
  },
  "project_refs": ["comp-core", "nko-linguistics"],
  "key_topics": ["authentication", "graph-kernel"],
  "source": "session_end_hook"
}

Agent Types

`agent_type`ProviderSource
`claude-code``anthropic`SessionEnd hook, prompt-log scanner, AAO
`codex``openai`Manual stdin, AAO task with model_used containing "gpt"/"o1"/"o3"
`gemini``google`Manual stdin, AAO task with model_used containing "gemini"
`clawdbot`variesManual stdin, gateway-originated tasks
`human`Manual entry for human-performed tasks
`custom`variesFallback for unrecognized agent types

Sources

`source` valueMeaning
`session_end_hook`Claude Code SessionEnd hook (real-time, fire-and-forget)
`prompt_scan`Prefect vault_sync scan of `[home-path]` (catch-up)
`aao-reputation:discord`AAO reputation collector after task quality assessment
`aao-reputation:sms`Same, task originated from SMS gateway
`cap`Future: Clarity Agent Protocol dispatcher
`manual`Manual CLI invocation

---

What Gets Generated (Note Format)

Agent Session Note → `Sessions/{date}-{agenttype}-{short_id}.md`

markdown
---
type: agent-session
agent_type: claude-code
provider: anthropic
model: claude-opus-4-6
session_id: abc123def456
date: 2026-03-01
outcome: complete
source: session_end_hook
duration_minutes: 45.3
prompt_count: 12
tool_calls: 87
aao_quality: high
aao_confidence: 0.85
aao_device_score: 0.912
project_refs: [comp-core]
tags: [authentication, graph-kernel]
created: 2026-03-01T18:30:00Z
---

# Claude Code Session: Fix authentication bug in login flow

| | |
|---|---|
| **Agent** | Claude Code (claude-opus-4-6) |
| **Duration** | 45m |
| **Prompts** | 12 |
| **Tool Calls** | 87 |
| **Outcome** | complete |
| **AAO Quality** | high (85% confidence) |
| **Device Score** | 0.91 |

## Goal
Fix authentication bug in login flow

## Files Modified (2)
- `auth.py`
- `config.py`

## Files Read (1)
- `models.py`

## Links
- Project: [[comp-core]]
- Related: [[authentication]]
- Related: [[graph-kernel]]

Synthesis Note → `Inbox/{date}/{time}-{slug}.md`

markdown
---
type: synthesis
intent: idea
confidence: 0.85
route: direct
channel: discord
project_refs: [nko-linguistics]
tags: [NKo, voice-recognition]
created: 2026-03-01T10:30:00Z
---

# Voice-Controlled NKo Keyboard

## Enriched Prompt
Context-rich synthesis...

## Dream Seeds
- **Voice-Controlled NKo Keyboard** (energy: 0.7)
  Tags: NKo, voice recognition

## Knowledge Connections
- [[NKo keyboard]] --related to--> [[voice recognition]]

## Links
- Project: [[nko-linguistics]]
- Related: [[NKo keyboard]], [[voice recognition]]

---

AAO → Vault Integration (The Loop)

The AAO (Admissible Agent Orchestration) reputation collector closes the loop between task execution and knowledge capture.

Flow

Discord/SMS/Telegram task
    ↓
mac_tasks row created in Supabase
    ↓
AAO Ticket Gate (mints HMAC token, every 3min)
    ↓
AAO Dedup Filter (fingerprints, blocks duplicates, every 5min)
    ↓
pulse-dispatcher (claims + routes to device)
    ↓
Agent executes on device (Mac1-5, cloud-vm)
    ↓
Task completes → mac_tasks.status = 'complete'
    ↓
AAO Reputation Collector (every 10min)
    ├── Assess quality (output length, exit code, errors, duration)
    ├── Sign HMAC attestation → Graph Kernel
    ├── Update device reputation score
    └── write_task_to_vault() ← NEW
         ├── Map claimed_by → agent_type
         ├── Infer provider from model_used
         ├── Extract project_refs from project_path
         ├── Include aao_quality, aao_confidence, aao_device_score
         └── Sessions/{date}-{agenttype}-{task_uuid}.md
              ↓
         obsidian-sync → all devices

Supabase Fields Used

sql
SELECT id, task_content, output, exit_code, duration_ms, error_log,
       claimed_by, completed_at, started_at, task_type, model_used,
       project_path, source, session_id, pool_mode, team_role
FROM mac_tasks
WHERE status = 'complete' AND completed_at > $last_assessed_at
ORDER BY completed_at DESC LIMIT 30

Agent Type Detection

python
# Priority 1: Model string override
if "gpt" or "o1" or "o3" in model_used → agent_type = "codex"
if "gemini" in model_used             → agent_type = "gemini"

# Priority 2: Device mapping
claimed_by = "mac1" through "mac5"    → agent_type = "claude-code"
claimed_by = "cloud-vm"              → agent_type = "claude-code"
claimed_by = "codex"                 → agent_type = "codex"

# Fallback
else                                  → agent_type = "custom"

---

Nexus Portal Integration Opportunities

The Nexus Portal (`[home-path]`, port :3001) already has a "Vault" page that shows Discord content performance. The vault writer creates a richer dataset.

Current State

Nexus PageData SourceVault Connection
OverviewDashboard API + PrometheusCould show vault note count, today's sessions
AgentsSupabase mac_tasks, mesh_devicesAgent sessions are now vault notes with AAO quality
FlowsPrefect APIvault_sync is a registered flow, shows run history
FeedsPrefect API (tag:feed-hub)Synthesis notes from feeds now land in vault
Vault (existing)Supabase content_performanceDiscord engagement stats — separate from knowledge vault
EvolutionDashboard API /api/hef/*Evolved ideas could become vault Concepts

Integration Points for Nexus

1. New API endpoint: `GET /api/vault/stats` on Dashboard API → returns note counts by directory, recent notes, orphan count. Nexus Overview page could show a "Knowledge Vault" card.

2. Agent page enrichment: Each agent in the Agents page already shows tasks from mac_tasks. Link to the corresponding vault session note (same task UUID).

3. Flow page enrichment: The vault_sync flow runs appear in the Flows page. Could add a "Vault Health" section showing: notes created this run, catch-up count, daily summary status.

---

Prefect Flow Integration Opportunities

Currently Connected

FlowFileVault Integration
`vault-sync``[home-path]`Primary: catch-up writes, agent session scanner, daily summaries, orphan detection
`aao-reputation-collector``[home-path]`Active: writes vault note per assessed task

Ready for Integration

FlowFilePotential
`morning-brief``[home-path]`Append flow stats, task counts, dream counts to `Daily/{date}.md`
`garden-tender``[home-path]`Auto-create `Concepts/{dream_title}.md` when dreams emerge from Noosphere
`dream-chronicle``[home-path]`Track dream lifecycle (gestating → emerging → emerged) as vault notes
`memory-summarizer``[home-path]`Write `Knowledge/` updates from curated memory turns
`creative-chronicle``[home-path]`Track content series progress as vault notes
`engagement-collector``[home-path]`Write `Daily/{date}.md` with top-performing content
HEF evolution`[home-path]`Archive completed evolutions as vault `Concepts/` or `Projects/` notes

How To Add Vault Write to Any Flow

python
# At top of flow file
import sys
from pathlib import Path
VAULT_WRITER_DIR = Path.home() / "projects"
if str(VAULT_WRITER_DIR) not in sys.path:
    sys.path.insert(0, str(VAULT_WRITER_DIR))

# In your task function
from obsidian_vault_writer.writer import VaultWriter
writer = VaultWriter()
path = writer.write_agent_session({...})  # or write_synthesis(), write_daily_summary()

---

Database Integration Points

Supabase Tables → Vault

TableCurrent Vault UsePotential
`mac_tasks`AAO reputation collector reads completed tasks → vault session notesFull task lifecycle tracking
`synthesis_results`vault_sync catch-up reads missing rows → Inbox notesReal-time webhook trigger
`noosphere_dreams`Not yet connectedDream lifecycle vault notes
`content_performance`Not yet connectedDaily engagement highlights
`memory_turns`Not yet connectedMemory consolidation vault notes
`pulse_sessions`Not yet connectedPulse session summaries → Sessions/
`reputation_attestations`Written by AAO reputation collectorDevice reputation trends in vault
`knowledge_graph`Backfilled once (5,562 → 195 triples → 53 entity notes)Periodic re-sync possible

Graph Kernel (Rust, port :8001)

The Graph Kernel stores semantic triples and AAO attestations. Integration:
- AAO attestations already registered via `POST /api/knowledge/attestation`
- Vault entity notes could be enriched with Graph Kernel relation counts
- Future: Graph Kernel query → verify vault entity completeness

Orbit / RAG++ (port :3847 local, Cloud Run)

The SessionEnd hook already notifies Orbit (`/api/rag/session-end`). Vault notes and Orbit embeddings are complementary:
- Orbit provides semantic search across session content
- Vault provides navigable `[[linked]]` knowledge graph
- Context recovery MCP (`get_context_recovery`) reads from Orbit — could also read vault note frontmatter

---

Sync Architecture

                    Source Systems
    ┌─────────────────────────────────────────────┐
    │  Discord    Claude Code   AAO Tasks   Prefect│
    │  Synthesis  SessionEnd    Reputation  Flows  │
    └──────┬──────────┬───────────┬──────────┬─────┘
           │          │           │          │
           ▼          ▼           ▼          ▼
    ┌──────────────────────────────────────────────┐
    │     obsidian_vault_writer (Python module)     │
    │                                               │
    │  write_synthesis()  write_agent_session()      │
    │  write_daily_summary()  ensure_entity()        │
    │  ensure_project()  ensure_concept()            │
    └───────────────────┬──────────────────────────┘
                        │ writes .md files
                        ▼
    ┌──────────────────────────────────────────────┐
    │     [home-path] (cloud-vm filesystem)   │
    │                                               │
    │  Syncthing ←→ Mac1                            │
    │  ob sync --continuous → Obsidian Cloud        │
    └───────────────────┬──────────────────────────┘
                        │ Obsidian Sync (E2E)
           ┌────────────┼────────────┐
           ▼            ▼            ▼
        iPhone       Mac4/Mac5    Any device
        Obsidian     Obsidian     with Obsidian

---

For Agents: Quick Start

If you're a Codex/Gemini/Clawdbot agent completing a task:

bash
# Pipe your session data to the vault writer
echo '{"agent_type":"YOUR_TYPE","session_id":"YOUR_SESSION","provider":"YOUR_PROVIDER","model":"YOUR_MODEL","goal":"What you worked on","outcome":"complete","date":"'$(date +%Y-%m-%d)'","stats":{"duration_minutes":10,"prompt_count":5,"tool_call_count":20,"files_modified":["file.py"],"files_read":["config.py"]},"project_refs":["project-name"],"key_topics":["topic"],"source":"YOUR_SOURCE"}' \
  | python3 -m obsidian_vault_writer.writer --mode agent-session

If you're adding vault writes to a Prefect flow:

1. Import VaultWriter at the top of your flow file
2. Call the appropriate write method in your task function
3. Always use fire-and-forget — vault writes should never block flow execution
4. Set `VAULT_PATH` env var if not using the default `[home-path]`

If you're building a new integration:

1. Read `[home-path]` for full details
2. The universal agent session schema (above) is the contract — follow it
3. Add your `agent_type` to the template's `agent_label` dict in `templates.py` if you want a custom display name
4. Your notes will automatically get `[[backlinks]]` from project stubs and entity stubs

---

Current Statistics (2026-03-01)

DirectoryCountPrimary Source
Inbox/4Backfilled synthesis results
Entities/7553 knowledge graph + 22 synthesis link stubs
Projects/4comp-core, nko-linguistics, litRPG, milkmen
Concepts/3Dream seeds from synthesis
Knowledge/3Facts, Preferences, Patterns indexes
Sessions/0First real notes will appear when sessions end + AAO tasks complete
Daily/0First daily summary on next vault_sync run
Templates/5Synthesis, Session, Entity, Project, Daily
Total94

---

Key Design Principles

1. Never block: All vault writes are fire-and-forget. Use `subprocess.Popen()` without `wait()`, or `spawn()` + `unref()` in Node.js.
2. Belt and suspenders: Real-time hooks catch 99
3. Idempotent stubs: `ensure_entity()`, `ensure_project()`, `ensure_concept()` are no-ops if the note already exists.
4. Universal schema: One JSON format for all agent types. Agent-specific metadata goes in the `stats` dict.
5. Obsidian-native: Every note has YAML frontmatter for Dataview queries and `[[wikilinks]]` for graph navigation.

Promotion Decision

Attach run IDs, datasets, metrics, and reproduction commands.

Source Anchor

projects/obsidian_vault_writer/INTEGRATION-HANDOFF.md

Detected Structure

Method · Evaluation · References · Code Anchors · Architecture