Vouchstone Documentation
Build, deploy, and manage intelligent AI agents with persistent long-term memory. Enterprise-grade security with complete data isolation.
What is Vouchstone?
Vouchstone is an enterprise-grade AI agent platform that enables organizations to build, deploy, and manage intelligent agents with persistent long-term memory. Unlike traditional AI systems that forget context between interactions, Vouchstone agents remember, learn, and evolve over time.
Our unique Control Plane + Data Plane architecture ensures that your sensitive data never leaves your infrastructure while providing a seamless management experience through our cloud-hosted control plane.
5-Layer Memory Stack
Working, Episodic, Semantic, Procedural, and Meta-Memory — a biologically-inspired memory architecture for comprehensive knowledge retention and governance.
Data Isolation
Your data stays in your VPC. The control plane stores only metadata, ensuring complete data sovereignty and compliance.
Enterprise Integrations
Connect to Slack, Microsoft Teams, JIRA, Confluence, GitHub, and more with built-in OAuth support.
Multi-Tenant Ready
Built from the ground up for multi-tenancy with complete isolation between organizations and role-based access control.
Key Features
Intelligent Agents
Create AI agents that can understand context, remember past interactions, and make intelligent decisions. Each agent can be customized with specific capabilities, personality traits, and access to different memory stores.
Agent Types
Customer Support, Data Analyst, Code Assistant, Content Writer, Sales Assistant, and custom agent types for your specific needs.
Memory Systems
Vouchstone provides a biologically-inspired 5-layer memory stack, each layer analogous to a region of the human brain:
- Working Memory (Redis) — In-context state for the current turn, bounded by context window, resets at session end. Analogous to prefrontal cortex.
- Episodic Memory (PostgreSQL + Redis) — Append-only traces of what happened across sessions, retrieved at planning time. Analogous to hippocampus.
- Semantic Memory (ChromaDB) — Entity store of typed attributes, built by extraction jobs from episodes. Analogous to temporal lobe.
- Procedural Memory (Neo4j) — Versioned skill registry of procedures, built by reflection passes over episodes. Analogous to basal ganglia + cerebellum.
- Meta-Memory (Control plane) — Governs the other four layers: retention policies, decay, compression, dedup, forgetting. Analogous to anterior prefrontal cortex.
Workflow Automation
Build complex automated workflows that orchestrate multiple agents, integrate with external systems, and handle conditional logic. Our visual workflow builder makes it easy to create sophisticated automation without code.
Multi-Agent Collectives
Group agents into collectives for collaborative problem-solving. Collectives can use different orchestration strategies including hierarchical, democratic voting, and custom coordination patterns.
Architecture
Vouchstone uses a unique split architecture that separates the management layer from your data:
Control Plane (SaaS)
- Dashboard & Management UI
- API Gateway & Authentication
- Billing & Usage Tracking
- Metadata Storage Only
Data Plane (Your VPC)
- Agent Runtime Environment
- Vector Database (ChromaDB)
- Graph Database (Neo4j)
- Your Sensitive Data
Getting Started
Follow these steps to get up and running with Vouchstone:
Create an Account
Sign up for an Vouchstone account and create your organization. New accounts receive 5,000 Vouchstone tokens to get started.
Deploy Data Plane
Deploy the Vouchstone data plane to your infrastructure using our Helm charts or Terraform modules for AWS, GCP, or Azure.
Create Your First Agent
Use the Agent Studio to create and configure your first AI agent. Choose from templates or build a custom agent from scratch.
Integrate & Scale
Connect your agents to Slack, Teams, or your custom applications using our SDKs and APIs. Scale as your needs grow.
Quick Examples
Python SDK
from vouchstone_sdk import VouchstoneClient
# Initialize the client
client = VouchstoneClient(api_key="your-api-key")
# Create an agent
agent = client.agents.create(
name="Customer Support Agent",
type="support",
memory_types=["semantic", "episodic"],
config={
"personality": "helpful and professional",
"response_style": "concise"
}
)
# Send a message and get a response
response = agent.chat("How do I reset my password?")
print(response.content)TypeScript SDK
import { VouchstoneClient } from '@vouchstone/sdk';
// Initialize the client
const client = new VouchstoneClient({ apiKey: 'your-api-key' });
// Create an agent
const agent = await client.agents.create({
name: 'Data Analyst',
type: 'analyst',
memoryTypes: ['semantic', 'procedural'],
config: {
capabilities: ['data_analysis', 'visualization'],
},
});
// Query the agent
const response = await agent.chat('Analyze sales trends for Q4');
console.log(response.content);Need Help?
Our team is here to help you get the most out of Vouchstone.