Powerful Features

Discover how OHMS blends natural-language agent creation, secure HTTPS LLM outcalls, and Internet Computer deployment for verifiable autonomous workflows.

Instruction-Based Agent Creation

Create autonomous AI agents from natural language instructions with configurable policies, tools, and guardrails.

Natural-language instruction builder with reusable blueprints
Prompt libraries and contextual memory settings per agent
Tool attachments for APIs, webhooks, and knowledge bases
Policy guardrails and review steps baked into the workflow
Team workspaces for sharing and versioning agent templates

Use Case

Customer success teams ship a triage agent by describing intake questions and escalation policies—no developers required.

Key Benefits

Launch new agents in minutes without writing code
Guarantee consistent outputs across teams and use cases
Rapidly experiment by cloning and tweaking existing flows
Ensure agents inherit the right governance policies
Accelerate onboarding with ready-to-use instruction packs

Instruction Engine

Compose agent behaviour from natural-language blueprints and guardrails

120+

Blueprint Library

5 min

Avg. Setup Time

40+

Reusable Templates

Internet Computer Protocol

Built on the Internet Computer for transparent, tamper-evident coordination, storage, and billing.

Immutable state and receipts persisted directly on ICP canisters
Global replication across subnets for unstoppable availability
Cycle-based economics with predictable on-chain costs
Native Internet Identity support for seamless authentication
Deterministic execution model for auditable outcomes

Use Case

Compliance teams deploy investigative agents that must retain immutable trails for regulators directly on-chain.

Key Benefits

Prove every action with tamper-evident audit trails
Deliver services without depending on centralized cloud
Comply with regulatory requirements through verifiable logs
Scale globally with ICP’s replicated compute environment
Run 24/7 with transparent cost controls

On-Chain Backbone

Harness the Internet Computer for transparent, verifiable agent coordination

1000+

Replica Nodes

<2s

Finality Time

99.9%

Uptime

Secure LLM Outcalls

Invoke external LLM endpoints via hardened HTTPS outcalls so you can bring your own provider while staying fully on-chain.

Out-of-the-box connectors for OpenAI-compatible APIs and enterprise LLMs
Secure API key vault with rotation policies and usage alerts
Request signing, retry logic, and response validation inside the coordinator
Provider profiles with latency, cost, and jurisdiction metadata
Fallback routing and load-balancing across approved endpoints

Use Case

Enterprises split workload across Azure OpenAI (for PII) and Anthropic (for research) with policy-based routing and auditing.

Key Benefits

Bring your own LLM vendor without rewriting workflows
Meet regional compliance by pinning requests to approved providers
Track provider-level spend with on-chain receipts
Maintain uptime via automatic failover across configured endpoints
Standardize prompt contracts even with heterogeneous APIs

LLM Outcall Mesh

Bridge on-chain agents with the optimal external LLM for each task

10+

Integrated Providers

35%

Latency Reduction

100%

Key Rotations Automated

Subscription Economics

Transparent usage-based billing with quotas, receipts, and tiered plans enforced by canisters.

Quota enforcement per workspace, agent, and tool
Token metering with granular receipt generation
Usage dashboards and alerts for spend management
Billing exports compatible with finance and ERP systems
Multi-tenant safeguards with isolation between plans

Use Case

SaaS platforms embed OHMS agents and rely on native billing to track and recharge customer usage automatically.

Key Benefits

Eliminate surprise invoices with live usage visibility
Align pricing to the value agents deliver in production
Segment customers across consumer, pro, and enterprise tiers
Streamline reporting with automated, auditable receipts
Scale monetization without building custom billing infrastructure

Transparent Economics

Meter every action and enforce plan limits directly inside canisters

1k+

Receipts Generated

100%

Quota Accuracy

Supported Plans

Autonomous Agent Networks

Self-coordinating multi-agent systems that plan, act, and hand off tasks with minimal human oversight.

Dependency graphs and role definitions for specialized agents
Event-driven coordination bus for hand-offs and escalations
Shared memory spaces with scoped access controls
Observability layer tracking each agent’s contribution
Simulation tools to test networks before deployment

Use Case

Research teams coordinate analyst, summarizer, and reviewer agents to deliver daily market briefings automatically.

Key Benefits

Run complex missions with planner, executor, and reviewer agents
Minimize human oversight while retaining accountability
Blend autonomous steps with human approvals when required
Reuse successful networks across new business units
Gain visibility into how tasks flow across the collective

Coordinated Networks

Design and monitor sophisticated agent collectives with clear hand-offs

Agents per Mission

70%

Task Completion Boost

60%

Human Handoffs Reduced

Operator Controls

Central registry for prompts, tools, and integrations so teams can enforce guardrails and quality.

Central registry for prompts, datasets, and tool integrations
Approval workflows and change logs for every resource
Environment isolation across dev, staging, and production
Runtime policy engine governing what agents may call
Comprehensive audit log with exportable evidence trails

Use Case

Fintech operators manage payment and compliance tools through the registry, ensuring every change is reviewed and versioned.

Key Benefits

Maintain guardrails as teams expand the agent catalog
Reduce risk with mandatory peer review and approvals
Guarantee only vetted tools reach production environments
Respond to audits quickly with structured historical data
Empower operators to improve agents without code changes

Operator Console

Control prompts, tools, and policies from a single governance hub

500+

Registry Entries

120

Policy Checks Automated

5k+

Daily Audit Events

Platform Interface

Simple web interface for creating and managing autonomous AI agents

REST API Reference

Complete API documentation with examples, schemas, and interactive playground.

Interactive Playground

Test API endpoints in real-time with our interactive developer playground.

API Endpoints

Method	Endpoint	Description
POST	/agents	Create new AI agent
GET	/agents/{id}	Get agent details
POST	/workflows	Create agent workflow
POST	/deploy	Deploy to ICP network
GET	/metrics	Get performance metrics
POST	/security	Configure security settings

Simple Agent Creation Process

Create powerful autonomous agents in just a few steps with our intuitive platform

Describe Your Need

Tell OHMS what kind of agent you want in natural language

Choose Your Tier

Select Basic, Pro, or Enterprise tier based on your needs

Agent Generation

OHMS assembles your agent with verified prompts and secure LLM connectors

Deploy & Monitor

Your agent runs autonomously on the Internet Computer

Ready to Get Started?

Jump into the OHMS ecosystem with our comprehensive getting started guide, tutorials, and community resources.

Documentation

Step-by-step guides and API references

Tutorials

Video tutorials and hands-on examples

Community

Join our developer community and forum

Experience OHMS Features

Ready to explore all that OHMS has to offer? Create your first agent and see the power of decentralized AI orchestration.

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Method

Endpoint

Description

POST

/agents

Create new AI agent

GET

/agents/{id}

Get agent details

POST

/workflows

Create agent workflow

POST

/deploy

Deploy to ICP network

GET

/metrics

Get performance metrics

POST

/security

Configure security settings