Unleash the Swarm.
Keep the Leash.
Conductor decomposes goals into capability-ordered plans, dispatches a swarm of specialized agents, and keeps humans in control at every critical junction. Infinite capabilities. 5 autonomy levels. Zero trust required.
"Research Q4 financial regulations and prepare a compliance summary with recommendations"
Matching capabilities...
Human reviews final output
Most AI Orchestration Is Fire and Forget
You tell a model to "do the thing." It tries. It fails. You debug the prompt. Nobody knows what happened, who approved it, or whether it will do something different tomorrow.
Five Levels. You Choose the Leash Length.
Every task gets an autonomy level based on its risk, the tools it uses, and your YAML-configurable rules. High-risk operations always stop for human approval.
CHECKPOINT_END
Final output reviewed.
Default. Agent executes autonomously, human reviews the final output before delivery.
42 Capabilities. 9 Domains.
Each capability is a YAML file that defines what an agent can do, what tools it needs, its risk level, and its dependencies. Drop a YAML file in the registry to add a new one. No code changes.
Analysis
Financial, market, risk, pattern detection, legal, accounting
Audio
Transcription, understanding, synthesis, diarization
Communication
Stakeholder updates, progress reporting
Creation
Code generation, tests, content, documentation, formal documents
Creative
Ideation, brainstorming, narrative design, concept generation
Cybersecurity
Threat analysis, vulnerability assessment, penetration testing, incident response
Data
ETL, transformation, quality, pipeline, warehousing
Education
Curriculum design, assessment, tutoring, learning analytics
Engineering
Systems design, optimization, simulation, prototyping
Environmental
Impact assessment, sustainability, resource monitoring, climate analysis
Execution
Deployment, shell execution
Governance
Policy enforcement, compliance monitoring, audit, risk management
Investigation
Research, debugging, root cause, vision, performance analysis
Linguistics
Translation, sentiment analysis, summarization, entity extraction
Mathematics
Statistical analysis, optimization, modeling, proof verification
Medicine
Clinical analysis, literature review, protocol design, diagnostic support
Operations
Workflow optimization, scheduling, resource allocation, monitoring
Philosophy
Ethical analysis, epistemology, logic, critical reasoning
Planning
Strategic, project, resource, task decomposition
Science
Hypothesis generation, experiment design, data analysis, literature synthesis
Social Science
Survey design, behavioral analysis, demographic modeling, policy analysis
Strategy
Competitive analysis, market entry, growth planning, scenario modeling
Sysadmin
Health check, diagnosis, remediation, validation, learning
Validation
Code review, compliance check, evidence collection, testing, verification
From Natural Language to Governed Execution
Goal Analyzer
Natural language to capability requirements with intent classification
Capability Composer
Requirements to dependency-ordered execution plan via topological sort
Autonomy Calculator
Risk and confidence analysis to determine the right level of human oversight
Orchestrator
Multi-agent dispatch with parallel execution and Capsule-sealed decisions
Checkpoint Manager
Human approval gates with async wait patterns for high-risk operations
Adaptation Engine
Signal capture, pattern mining, and safety-validated self-improvement
Drift Detector
Behavioral consistency monitoring via cosine distance on embedding fingerprints
Power Without the Danger.
Hardcoded, Not Configurable.
Some rules should never have an off switch. These constraints are compiled into the safety gate layer, not loaded from config files. You cannot accidentally disable them.
Deploy, delete, and decision tasks always require human review. Hardcoded, not configurable.
Auditor and deployer agents cannot receive prompt modifications from the adaptation engine.
Shell injection, SQL injection, path traversal, and secret leakage blocked at the safety gate.
Every agent checks the kill switch before each iteration. Once killed, it stays killed.
Security agents cannot receive prompt modifications
Not Another Prompt Chain
Conductor is a governed orchestration engine, not a wrapper around sequential LLM calls.
Goal to Governed Plan in 10 Lines
from qp_conductor import (
GoalService, TaskService, InMemoryStorage,
CapabilityRegistry, CapabilityComposer,
)
storage = InMemoryStorage()
goal_service = GoalService(storage=storage)
# One line: natural language to structured goal
goal = await goal_service.create(
user_id="you",
description="Research Q4 regulations and write a summary",
)
# Compose a capability-ordered execution plan
registry = CapabilityRegistry() # 42 YAML capabilities
composer = CapabilityComposer(capability_registry=registry)
# Approve tasks from the priority inbox
task_service = TaskService(storage=storage)
tasks, count = await task_service.get_pending_review_tasks("you")
await task_service.batch_approve([t.id for t in tasks], "you")Part of the Quantum Pipes Stack
Each independently useful. Together, the governed AI platform for autonomous organizations.
Unleash the Swarm.
Keep the Leash.
Infinite capabilities. 5 autonomy levels. Capsule-sealed decisions. Governed orchestration for autonomous organizations.