§ 01 Agents · Overview

Autonomous AI Agents
on Sovereign Infrastructure

Q: What capabilities do AGICY AI agents support?

AGICY AI agents support multi-agent orchestration, tool use and function calling, RAG-enabled retrieval with sub-50ms latency, persistent memory, and structured output. Agents can use any open-weight model on our platform and are compatible with LangChain, LlamaIndex, and CrewAI patterns.

Q: How is agent data kept private and sovereign?

Every component of the agent execution pipeline runs on EU-sovereign infrastructure. Agent prompts, tool call inputs/outputs, memory stores, and execution logs are stored within EU jurisdiction with AES-256 encryption and per-tenant isolation.

Q: Can I integrate AGICY agents with my existing systems?

Yes. AGICY agents integrate through a tool-use framework with JSON Schema definitions. Pre-built connectors cover REST APIs, GraphQL, PostgreSQL, MySQL, S3-compatible storage, and webhook endpoints. SDKs are available for Python, TypeScript, and Go.

Q: How do AGICY agents scale for enterprise workloads?

The orchestration layer supports hundreds of concurrent agent sessions per tenant with automatic load balancing across the Tenstorrent Galaxy fleet. Serverless and dedicated tiers cover burst and sustained production workloads with agent versioning and A/B testing.

Build, deploy, and orchestrate autonomous AI agents that reason, plan, and act — all on EU-sovereign infrastructure. Multi-agent orchestration, tool use, persistent memory, and RAG-enabled retrieval with sub-100ms inference latency. Your data stays within EU jurisdiction — no US CLOUD Act exposure, no vendor lock-in.

Agent

Multi

Use

Tool

Enabled

RAG

Latency

<100ms

§ 02 Capabilities · Agent skills

Agent Capabilities

Three core capabilities that enable your AI agents to reason, act, and remember — all within sovereign infrastructure boundaries.

Multi-Agent Orchestration

Deploy teams of specialized AI agents that collaborate on complex tasks. Our orchestration layer manages agent-to-agent communication, task delegation, conflict resolution, and result aggregation — all within sovereign infrastructure. Define hierarchical agent teams with supervisor agents that decompose goals into sub-tasks and delegate to specialist agents. Each agent can use different models optimized for its role: a reasoning agent on Llama 4 Maverick, a coding agent on DeepSeek V3, and a summarization agent on Mistral Large.

Orchestration

Tool Use & Function Calling

Equip your agents with the ability to call APIs, execute code, query databases, and interact with external systems. Our tool-use framework provides a standardized interface for defining tools with JSON Schema, automatic parameter validation, and structured output parsing. Agents can chain multiple tool calls in a single reasoning step. All tool executions run in sandboxed environments on sovereign infrastructure with full audit logging.

Function Calling

Memory & RAG Integration

Give your agents persistent memory and access to your organization's knowledge base through sovereign RAG pipelines. Our memory system supports both short-term conversational memory and long-term episodic memory (vector-stored, semantically searchable). The RAG integration connects your agents to sovereign vector databases powered by AGICY's embedding infrastructure, enabling retrieval-augmented generation with sub-50ms retrieval latency.

Persistent Memory

§ 03 Architecture · Agent stack

Agent Architecture

How AGICY's sovereign agent platform compares to US-hosted alternatives across critical capabilities.

Capability	AGICY Agent Platform	US-Hosted Alternatives
Multi-Agent Orchestration	Native, sovereign-first	Available, US-hosted
Tool Use / Function Calling	Sandboxed, EU-only execution	Available, US data exposure
RAG / Vector Search	Sovereign vector DB, sub-50ms	Third-party vector DB (US-hosted)
Agent Memory	Persistent, EU-resident	Ephemeral or US-stored
Model Selection	Any open-weight model, per-agent	Limited to provider's models
Inference Latency	<100ms end-to-end	Variable, 100–500ms typical
Data Sovereignty	Full EU sovereignty	CLOUD Act exposure

§ 04 Use Cases · Deployments

Agent Use Cases

Real-world applications of autonomous AI agents on sovereign infrastructure — from customer service to compliance automation.

Customer Service Agents

Deploy sovereign customer service agents that handle complex multi-turn conversations, access your CRM and knowledge base via tool use, and escalate to human agents when needed. These agents maintain conversation context across sessions using persistent memory, resolve up to 80% of tier-1 support tickets autonomously, and generate structured case summaries for human review.

Support Automation

Research & Analysis Agents

Build multi-agent research teams that ingest documents, extract insights, and produce structured reports. A supervisor agent decomposes research questions into sub-tasks, delegates to specialist agents (financial analysis, legal review, competitive intelligence), and synthesizes findings into executive-ready reports with citation tracking.

Research Automation

Compliance & Audit Agents

Automate regulatory compliance monitoring with agents that continuously scan your policies, contracts, and operational data against frameworks like GDPR, DORA, NIS2, and the EU AI Act. These agents use tool calling to query compliance databases, flag non-conformities, and generate remediation recommendations with full audit trails on sovereign infrastructure.

Compliance Automation

§ 05 Questions · FAQ

Frequently Asked Questions

Common questions about building and deploying AI agents on AGICY infrastructure.

What capabilities do AGICY AI agents support?

AGICY AI agents support multi-agent orchestration (hierarchical, sequential, and parallel agent teams), tool use and function calling, RAG-enabled retrieval with sub-50ms latency, persistent memory, and structured output (JSON mode, schema validation). Agents can use any open-weight model on our platform. The framework is compatible with LangChain, LlamaIndex, and CrewAI patterns.

How is agent data kept private and sovereign?

Every component of the agent execution pipeline runs on EU-sovereign infrastructure. Agent prompts, tool call inputs/outputs, memory stores, RAG vector databases, and execution logs are stored and processed within EU jurisdiction. Agent memory is encrypted at rest with AES-256 and isolated per tenant. See our Trust Center for full audit trail documentation.

Can I integrate AGICY agents with my existing systems?

Yes. AGICY agents integrate through our tool-use framework. You define tools using JSON Schema that describe your APIs, databases, and services. We provide pre-built connectors for REST APIs, GraphQL, PostgreSQL, MySQL, S3-compatible storage, SMTP/email, and webhook endpoints. Our SDK supports Python, TypeScript, and Go.

How do AGICY agents scale for enterprise workloads?

Our orchestration layer supports hundreds of concurrent agent sessions per tenant, with automatic load balancing across our Tenstorrent Galaxy fleet. For burst workloads, our serverless agent tier scales automatically with sub-second cold start times. For sustained production workloads, dedicated agent infrastructure provides reserved capacity with guaranteed throughput SLAs.

§ 06 Get Started · Deploy

Build Sovereign AI Agents

Deploy autonomous AI agents on EU-sovereign infrastructure. Multi-agent orchestration, tool use, and RAG — with full data sovereignty.

Build Sovereign AI Agents →View Pricing

solutions/inference solutions/rag solutions/serverless trust-center

INITIALISING AGICY KERNEL...