Headmaster Docs

Headmaster Core Features & Capabilities

Headmaster provides a comprehensive suite of features for building, deploying, and managing persistent AI agents at enterprise scale.

Agent Features

Persistent Memory

Agents maintain complete conversation history and learned context. Memory is:

  • Persistent: Survives across conversations and sessions
  • Searchable: Query historical interactions for insights
  • Archivable: Automatically compress or retire old memory based on retention policies
  • Auditable: Full audit trail of what the agent knows and how it was learned

Configure memory retention:

memory: retention_policy: "90_days" archive_after: "30_days" max_context_tokens: 50000 searchable: true audit_enabled: true

Model Support

Deploy on any LLM without changing agent logic:

  • Anthropic: Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku
  • OpenAI: GPT-4, GPT-4 Turbo, GPT-3.5 Turbo
  • Google: Gemini Pro, Gemini Ultra
  • Other: Grok, Llama 2/3, Mistral, and custom endpoints

Switch models by updating configuration—no code changes required.

Multi-Platform Deployment

Deploy identical agent logic across multiple channels:

  • Messaging: Slack, Microsoft Teams, Discord, WhatsApp, Telegram, Signal, Workplace Chat
  • Email: Full SMTP/IMAP integration with conversation threading
  • Web: REST APIs, webhooks, custom web interfaces
  • Voice: Phone systems (SIP/PSTN), voice channels (Twilio, Vonage)

Each platform has identical agent behavior and memory.

Guided Workflows

Build multi-step processes with conditional logic:

  • Sequential Steps: Define ordered workflow stages
  • Branching: Different paths based on conditions or user input
  • Loops: Repeat steps until conditions are met
  • Parallel Execution: Run multiple steps simultaneously across subagents
  • Error Handling: Graceful fallbacks and retry logic

Subagent Delegation

Decompose complex tasks into specialized agents:

  • Hierarchical Tasks: Main agent delegates to specialists
  • Parallel Execution: Multiple subagents work simultaneously
  • Context Sharing: Subagents inherit parent agent's memory and context
  • Result Aggregation: Coordinate outputs into cohesive results
  • Fault Isolation: Subagent failures don't cascade to parent

Example workflow:

Main Agent receives request ├─ Research Subagent → gathers information ├─ Analysis Subagent → evaluates findings └─ Report Subagent → formats results Final Agent aggregates and presents to user

Control & Approvals

Human-in-the-Loop

Define approval gates for sensitive operations:

  • High-Risk Actions: Require explicit human approval
  • Financial Transactions: Multiple approver support
  • Policy Changes: Audit trail of all approvals
  • Escalation: Automatic escalation if approval delayed

Configuration:

approvals: - trigger: "financial_transaction" amount_threshold: 5000 approvers: ["finance_team"] timeout_minutes: 30 - trigger: "policy_change" approvers: ["policy_admin", "ceo"] timeout_minutes: 120

Trust Control

Organizations maintain full control:

  • Action Boundaries: Define what agents can and cannot do
  • Resource Access: Limit agent access to specific systems
  • Rate Limits: Control agent throughput and costs
  • Logging: Complete audit trail of all operations
  • Killswitch: Instantly disable agents

Integration Capabilities

Platform Integrations

Native integrations with:

  • Business: Salesforce, HubSpot, Jira, Asana, Monday.com
  • Data: Snowflake, BigQuery, Postgres, MySQL, MongoDB
  • Communication: Slack, Teams, Gmail, Outlook
  • Cloud: AWS, Google Cloud, Azure
  • Custom: REST APIs, webhooks, GraphQL

API Access

Full REST API for programmatic control:

POST /agents/{agent_id}/message GET /agents/{agent_id}/memory POST /agents/{agent_id}/workflows/{workflow_id}/execute PUT /agents/{agent_id}/configuration

Webhook Support

Real-time event notifications:

  • Agent completions
  • Approval requests
  • Memory updates
  • Error events
  • Custom triggers

Configuration

Basic Agent Configuration

agent: name: "Sales Support Agent" description: "Handles customer inquiries and support" model: "claude-3-5-sonnet-20241022" platforms: - type: "slack" workspace_id: "T12345" - type: "email" domain: "support@company.com" memory: retention_policy: "180_days" max_size_mb: 1000 approvals: enabled: true default_approvers: ["manager"]

Advanced Options

  • Custom Instructions: System prompts and behavior guidelines
  • Tool Integration: Define custom tools and functions
  • Response Templates: Customize output formatting
  • Monitoring: Performance metrics and cost tracking
  • Rate Limiting: Request throttling and quota management

Monitoring & Analytics

Real-Time Dashboard

  • Agent activity and uptime
  • Message volume and latency
  • Model usage and costs
  • Error rates and performance

Detailed Logs

  • Every agent action and decision
  • Model inputs and outputs
  • Integration calls and responses
  • Approval requests and decisions
  • Memory queries and updates

Cost Tracking

  • Per-agent cost breakdown
  • Model token usage
  • API call costs
  • Storage costs
  • Compare costs across models

Security & Compliance

Built-in Security

  • End-to-End Encryption: All data encrypted in transit and at rest
  • Access Control: Role-based permissions and team isolation
  • API Keys: Secure key rotation and revocation
  • Rate Limiting: DDoS protection and abuse prevention
  • Audit Logging: Immutable logs of all operations

Compliance

  • SOC 2 Type II: Independent security audit
  • GDPR: Data residency and right-to-delete
  • HIPAA: Healthcare data encryption and handling
  • CCPA: California privacy requirements
  • Custom Compliance: Configure policies per organization

See Security & Compliance for detailed information.