Agent Registry Management

Overview

The Agent Registry is a database-backed system for managing AI agent configurations. It replaces file-based configuration with a centralized, dynamic approach that supports:

• Agent definitions - Name, model, base prompt, enabled status
• Skill assignments - Which skills each agent has access to
• Tool permissions - Allow/deny patterns for MCP tools
• Context rules - Agent selection based on platform, chat, environment

Quick Reference

Dashboard UI

Access the Agents tab in the dashboard at http://localhost/ → Management → Agents

Features:

• View all agents with stats (total, enabled, skills, context rules)
• Edit agent details (name, description, model, prompt)
• Manage skills (checkbox list of available skills)
• Configure tool patterns (allow/deny lists)
• View agent details with all configurations

CLI Commands

# Sync database config to filesystem (for OpenCode)
npm run agents:sync

# Sync with verbose output
npm run agents:sync -- --verbose

# Dry run (show what would change)
npm run agents:sync -- --dry-run

# Sync for specific environment
npm run agents:sync -- --env prod

# Seed default agents
npm run agents:seed

# Force re-seed (overwrites existing)
npm run agents:seed:force

# Run database migration
npm run db:migrate

MCP Tools

Two MCP tools are available for agents to self-discover their capabilities:

ai_first_get_agent_context

{
  "platform": "whatsapp",
  "chatId": "123456789",
  "environment": "local"
}

Returns: Agent role, enabled skills, allowed tools, base prompt

ai_first_list_agents

{
  "includeDetails": true
}

Returns: All registered agents with optional skill/tool details

Database Schema

Tables

Table	Purpose
agents	Core agent definitions (id, name, model, prompt, enabled)
agent_skills	Skills assigned to each agent
agent_tools	Tool allow/deny patterns per agent
context_rules	Rules for agent selection by context

Context Types

Type	Context ID	Purpose
default	null	Fallback agent when no other rules match
platform	whatsapp/slack/opencode/cursor	Platform-specific agent
chat	Chat/Channel ID	Chat-specific agent assignment
channel	Slack channel name	Channel-specific agent
environment	local/prod	Environment-specific skill overrides

Default Agents

Agent	Mode	Skills	Description
pm-assistant	primary	jira-management, workflow-management, presentation-updates, message-scheduling, tool-discovery	JIRA, meetings, workflows, project management
communicator	specialized	slack-formatting, whatsapp-messages	Slack/WhatsApp messaging with proper formatting
scheduler	specialized	message-scheduling, tool-discovery	Calendar management, reminders
explorer	specialized	project-architecture, tool-discovery	Fast codebase exploration

API Endpoints

All endpoints require authentication via JWT token.

Agent CRUD

Method	Endpoint	Description
GET	/api/agents	List all agents
GET	/api/agents/stats	Get registry statistics
GET	/api/agents/:id	Get agent with details
POST	/api/agents	Create new agent
PATCH	/api/agents/:id	Update agent
DELETE	/api/agents/:id	Delete agent
POST	/api/agents/:id/toggle	Toggle enabled status

Skills

Method	Endpoint	Description
GET	/api/agents/:id/skills	Get agent's skills
PUT	/api/agents/:id/skills	Replace agent's skills
GET	/api/agents/available-skills	List all available skills

Tools

Method	Endpoint	Description
GET	/api/agents/:id/tools	Get agent's tool patterns
PUT	/api/agents/:id/tools	Set tool allow/deny patterns

Context Rules

Method	Endpoint	Description
GET	/api/agents/context-rules	List all context rules
POST	/api/agents/context-rules	Create context rule
DELETE	/api/agents/context-rules/:id	Delete context rule

Operations

Method	Endpoint	Description
POST	/api/agents/sync	Trigger filesystem sync
POST	/api/agents/resolve-context	Resolve agent for context

Context Resolution

When resolving an agent for a request:

1. Get all context rules sorted by priority (highest first)
2. Match rules against context (platform, chat, environment)
3. Apply skill overrides from matching rules
4. Return agent with effective skills and tools

Priority order: chat-specific > channel-specific > platform-specific > environment > default

Filesystem Sync

For OpenCode/Cursor compatibility, agent configurations are synced to:

• .claude/skills/ - Skill directories for enabled skills
• opencode.json - Model configuration (future)

The sync runs:

• On demand via npm run agents:sync
• Before OpenCode starts (in Docker entrypoint)
• Via dashboard "Sync" button

Extending

Adding a New Agent

1. Via Dashboard: Agents tab → Add New Agent
2. Via API: POST /api/agents with agent definition
3. Via Seed: Update data/seeds/agents.ts

Adding Skills to an Agent

1. Via Dashboard: Click agent → Edit Skills → Select skills
2. Via API: PUT /api/agents/:id/skills with skill names array

Creating Context Rules

For chat-specific agent:

{
  "contextType": "chat",
  "contextId": "120363406740668957",
  "agentId": "specialized-agent",
  "priority": 100
}

For platform-wide agent:

{
  "contextType": "platform",
  "contextId": "whatsapp",
  "agentId": "communicator",
  "priority": 50
}

Troubleshooting

Agent not appearing

1. Check if agent is enabled: GET /api/agents/:id
2. Verify database connection
3. Check logs for errors

Skills not syncing

1. Run npm run agents:sync -- --verbose --dry-run
2. Check skill source directory exists
3. Verify skill is assigned to agent

Context not resolving

1. Check context rules: GET /api/agents/context-rules
2. Verify rule priorities
3. Test with: POST /api/agents/resolve-context