Agent Orchestration Platform

Overview

ACE3's Agent Orchestration Platform transforms isolated autonomous agents into a coordinated intelligence system. Agents work together in workflows, evolve through performance feedback, and operate across namespaces with enterprise-grade governance.

Workflow Orchestration

Workflows are Directed Acyclic Graphs (DAGs) of steps. Each step triggers one or more agents with optional conditions and data passing between steps.

Step Types

Built-in Templates

API Example

# Create from template
curl -X POST /api/v1/{namespace}/workflows/from-template \
  -d '{"template": "code_review_pipeline"}'

# Execute
curl -X POST /api/v1/{namespace}/workflows/{id}/execute

# List runs
curl /api/v1/{namespace}/workflows/runs

Namespace Management

The Namespace-Agent Matrix gives you enterprise-level control over which agents run in which namespaces, with per-namespace configuration overrides.

Features

• Assignment Matrix — Toggle agents on/off per namespace in a grid UI
• Per-Namespace Config — Override intervals, enable/disable, priorities per namespace
• Agent Cloning — Clone agents between namespaces with genome preservation
• Batch Operations — Enable/disable/configure multiple agents at once
• Auto-Assignment — Tag namespaces (security, research, compliance) and agents auto-configure
• Migration History — Full audit trail of agent moves and clones

Agent Relationships & Teams

Agents can be organized into hierarchies and teams for structured coordination.

• Parent-Child — Supervisor agents that oversee specialist agents
• Teams — Groups with a leader and members working toward a shared goal
• Roles — Leader, member, or specialist within a team

# Create a team
curl -X POST /api/v1/{namespace}/agents/teams \
  -d '{"name": "quality_squad", "leader": "best_practice_enforcer",
       "members": ["knowledge_guardian", "pattern_detector"]}'

# Set parent-child
curl -X POST /api/v1/{namespace}/agents/relationships \
  -d '{"parent": "session_manager", "child": "decision_recorder"}'

Session Coordination

The Session Coordinator maps agents to session phases, enabling sophisticated multi-agent coordination throughout your work session.

Session Phases

Session Templates

Performance Evolution

Agent genomes evolve based on measurable performance outcomes. The system tracks success rates, speed, cost efficiency, and quality scores, then correlates them with gene expression levels to drive intelligent evolution.

Quality Score (0-100)

Composite metric weighted by:

• Success rate (40%)
• Efficiency — items per run (20%)
• Speed — average duration (20%)
• Cost efficiency (10%)
• Consistency (10%)

A/B Testing

Take a control snapshot, modify the genome, run for a period, then take a variant snapshot and compare. The system determines the winner statistically.

Intelligence Scoring

• IQ Score — Cognitive intelligence from PRC, RSN, MEM, INT, REG genes
• EQ Score — Emotional intelligence from EMP, EXP, ADP genes
• Adaptation Rate — How fast the agent evolves (generations)
• Specialization Index — Depth vs breadth of gene expression

Agent Blueprints

Blueprints are version-controlled agent definitions that include configuration, genome profile, tool permissions, and performance thresholds.

Domain Packs

Blueprints support semantic versioning, inheritance, and marketplace sharing with cryptographic signing via the Passport system.

Coordination Framework

Beyond the event bus, agents can communicate via structured protocols:

• Request/Response — Direct agent-to-agent messaging with timeouts
• Consensus Voting — Majority, weighted, unanimous with quorum and veto powers
• Task Auctions — Agents bid on tasks by confidence, speed, or priority
• Broadcast — Topic-based pub/sub for all interested agents

Enterprise Management

Chaos Engineering

Test agent resilience by injecting failures and validating recovery:

• Agent Kill — Stop an agent and verify the system recovers
• Storage Failure — Remove database connection and test graceful degradation
• Random Failure — Inject random failures across the namespace
• Resilience Report — Recovery rate scoring and event tracking

Training & Learning Paths

Guide agent evolution with structured training curricula and achievement milestones.

Specialization Tracks

Achievements

Agents earn milestones based on quality score and run count: First Run, Getting Started, Reliable (100 runs), Veteran (500 runs), Legend (1000 runs), High Performer (75+ quality), Elite (90+ quality). Each specialization track has its own milestone progression.

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