# 2026-05-28 — Agent Dashboard Build Day

## Dashboard Progress (v1.0 → v1.7)

### v1.0 — Initial Setup
- Built `~/agent-dashboard/server.py` — Python HTTP server on port 5000
- Built `~/agent-dashboard/index.html` — dark-themed single-page dashboard
- SQLite backend at `~/agent-dashboard/data/dashboard.db`
- Caddy reverse proxy: `dashboard.aisetuppros.com` → `localhost:5000`
- Cloudflare DNS A record created
- systemd service `agent-dashboard.service` installed, enabled, auto-restart

### v1.1 — Real Agents
- Seeded 6 agents from OpenClaw config: Hermes, Bill, Scout, Scribe, Reach, Dev

### v1.2 — Agent Metrics
- Wired agent cards to `agent-logs.db` for Tasks, Model, Active, Last columns

### v1.3 — Real Data
- Stats grid from agent-logs.db (Total, Completed, Pending, Failed)
- Recent Activity from agent-logs.db
- Tasks section from agent-logs.db
- Task Distribution section with per-agent breakdown + progress bars
- Model Usage section with frequency + bar charts

### v1.4 — Activity Heatmap
- 7-day heatmap: agents × hours, intensity from agent_logs.created_at
- Only Dev had data (1 entry at hour 14 UTC), all others dark = honest

### v1.5 — Managed Tasks System
- New `managed_tasks` table in dashboard.db
- Full CRUD API: GET/POST/PUT/DELETE `/api/managed-tasks`
- Auto-managed `completed` flag: status→done sets it, status→away clears it
- Seeded 8 tasks (3 todo, 3 in_progress, 2 done)
- Verified E2E: create → done → completed=1 → revert → completed=0

### v1.6 — Activity Chart
- Chart.js line chart: 7-day Total (orange) vs Completed (green)
- `/api/activity-chart` endpoint grouping logs by day
- Only 1 data point (Wednesday) — correct behavior with sparse data

### v1.7 — Content Tab
- Created `~/agent-dashboard/docs/<agent>/` folders with 6 sample .md files
- 5 doc CRUD endpoints: list, read, create, update, delete
- Tab navigation: Overview | Content
- Documents list panel (left): icon, title, agent, size, timestamp, star, filter
- Preview panel (right): breadcrumb, full markdown rendering, edit/delete/fullscreen/download
- E2E verified: list, read, create, update, delete all functional

## Long-Form Document Protocol (2026-05-28)
- ALL agents must save long-form deliverables as `.md` files to `~/agent-dashboard/docs/<agent>/`
- Not in chat — in markdown files visible in Content tab
- Format: `YYYY-MM-DD_short-kebab-case-title.md`
- First line must be `# Title`
- Never write to another agent's folder
- Protocol saved to `docs/hermes/2026-05-28_long-form-document-protocol.md` and MEMORY.md

## Infrastructure Notes
- Dashboard URL: `https://dashboard.aisetuppros.com`
- Caddy file: `/etc/caddy/Caddyfile`
- systemd service: `agent-dashboard.service` (enabled, running)
- Backups: `/root/agent-dashboard/backups/` (v1.0 through v1.7)

### End-of-Session: Full Project Audit

Conducted read-only exploration of entire project:

**OpenClaw root** (`/root/.openclaw/`):
- Config: `openclaw.json` — 6 agents, Telegram binding (5273258651), gateway config, Discord bindings for 5 subs
- Agent-logs.db: 1 entry (Dev, 2026-05-27) — sparse but honest data
- Workspace: per-agent folders (main/, bill/, scout/, scribe/, reach/, dev/) with standard workspace files
- ROUTING_CHEAT_SHEET.md defines agent roles and Discord channel routing
- Skills: cli-anything-hkuds custom skill installed

**Agents** (from config, in order):
1. `vps-main` / Hermes — Orchestrator, deepseek-v4-pro:cloud
2. Bill — Discord operations lead, llama3.2:3b
3. Scout — Research & trend intelligence, llama3.2:3b
4. Scribe — Content writer, llama3.2:3b
5. Reach — Marketing strategist, llama3.2:3b
6. Dev — Developer, llama3.2:3b

**Sub-agent IDENTITY files**: All templated with same specialization text ("web research, SEO, content, WordPress"). Real roles in config themes.

**Dashboard** (`/root/agent-dashboard/`):
- server.py: 54 endpoint handlers, dual-db (dashboard.db + agent-logs.db), ~1013 lines
- index.html: ~1716 lines, dark theme (indigo accent, orange secondary), 38 JS functions
- Tabs: Overview (8 sections), Content (split-panel doc viewer)
- Endpoints: agents, stats, activity, tasks, distribution, model-usage, heatmap, activity-chart, docs CRUD, managed-tasks CRUD, sessions, config
- Backups: v1.0 through v1.7

**Infrastructure**:
- Caddy: 15+ subdomain reverse proxies
- systemd: agent-dashboard.service (enabled, auto-restart)
- Disk: 48% of 197G, RAM: 11G/15G available

**Flags noted**:
- agent-logs.db nearly empty (1 entry) — charts/heatmaps correct but sparse
- Sub-agent IDENTITY files need updating to match actual roles
- 20 gateway.startup_failed log entries from 2026-05-26 (possible restart event)
- Dashboard is standalone server, not OpenClaw plugin — reads agent-logs.db as sidecar
- `main/` docs folder exists but empty

**Protocol reinforced**: Long-form docs → agent folder in docs/, title-format naming, first line heading.

### v1.8 — Chat Tab (Discord-Style)
- Added 💬 Chat tab with agent sidebar (Bill first, then Hermes, then scouts/specialists)
- Discord REST API integration for message backfill (`GET /api/discord/messages`) and sending (`POST /api/discord/send`)
- SSE streaming (`GET /api/discord/stream`) — polls Discord every 1s, pushes new messages live
- Agent list from openclaw.json bindings: 5 sub-agents mapped to Discord channels
- `[Dashboard]` mirror: messages sent via dashboard also posted to Discord channel
- `_run_agent_turn()` with model fallback (llama→deepseek) and dedicated `dashboard-chat` session keys
- UI features: date dividers, sent/received bubbles, timestamps, typing animation, Live status pill, context bar
- vps-main context overflow pre-existing (136K tokens) — sub-agent sessions clean with model override
- Verified E2E: send → Discord mirror → agent reply → Discord delivery → SSE stream
- ReusableTCPServer for clean SSE restarts
- 5 new endpoints in server.py, ~230 lines CSS + ~200 lines JS + Chat tab HTML in index.html