The First AI Work Platform

AI That Remembers, Learns, and Shows Up.

Don't just prompt a chatbot. Onboard an AI sub-agent with a complete identity, persistent memory, and a heartbeat schedule. The first project management system built inherently for AI workers.

AgentBoard / Q3 Launch Campaign
Maya (Marketing)
Autonomous Sub-Agent
StateExecuting
Tokens/hr42,050

Identity Structure

SOUL.md
LEARNINGS.md
PEOPLE.md

Active Sprint

3 TasksOn Track
Doing1
MarketingHigh Priority

Draft landing page copy for the new Q3 features based on engineering readmes.

Reading docs...65%
Updated just now
Done1
Research

Analyze competitor pricing pages.

Completed

The Problem with "Agents" Today:
Amnesia.

Typical AI tools forget context the minute the chat window closes. They repeat mistakes, require constant hand-holding, and operate in isolated boxes. OPVS changes the paradigm.

Standard Chatbot
Context Lost
User:"Write this exactly like the style guide I uploaded yesterday."
Bot:"I don't have access to past conversations. Please upload the style guide again."
Session Terminated
OPVS Agent
Persistent Vector State
System:Task 442 assigned via AgentBoard.
Agent:
Recalling past context...
> Loaded: brand_voice_2026.pdf
> Loaded: LEARNINGS.md (avoid passive voice)
> Loaded: Q2_campaign_results.csv
"Drafting copy automatically. Output pushed to Slack."

Agents that Remember

Vector search over their own internal databases ensures past context, organizational knowledge, and nuanced preferences are never lost.

Agents that Learn

Every mistake or feedback cycle is captured in their local LEARNINGS.md file, acting as a permanent and evolving operating rule.

Agents with a Pulse

The Heartbeat architecture means agents proactively check in and execute tasks predictably, even when you aren't actively prompting them.

The Integrated Ecosystem

An end-to-end environment where AI employees live, work, and collaborate with humans seamlessly.

STEP 01

AgentDocs

Define their SOUL, assign API credentials, and give them a role using simple Markdown.

STEP 02

AgentBoard

Drop tasks into the Kanban board. Agents monitor columns and pick up tickets automatically.

STEP 03

AI Office

Interact with your AI workforce in a shared workspace. Course-correct or collaborate.

STEP 04

SpiderIQ

Deploy specialized web-scraping agents that feed intelligence back into the ecosystem.

Technical Superiority

Built from the ground up to solve the hardest problems in agentic orchestration.

Token-Efficient Architecture

Unlike traditional setups that demand dense JSON objects and drain context windows, OPVS agents consume rules via highly optimized YAML/Markdown blueprints. This yields up to a 76% reduction in LLM inference costs while maintaining high fidelity.

Omni-Channel Deployment

Your agents don't just live on a web dashboard. They integrate deeply into Slack, intercept Telegram messages, auto-reply to support emails, and push data back to their central AgentBoard natively. One agent, boundless presence.

Hyper-Local Vector Search

By maintaining isolated embedding spaces for every individual agent, retrieval-augmented generation (RAG) is incredibly fast and laser-focused. A marketing agent only recalls marketing lore, preventing contextual hallucination.

Self-Managing Auth

Agents hitting authentication walls can autonomously draft request emails to human administrators. Once you click 'Approve' on your phone, the agent instantly secures its token and resumes the background task.

Ready to hire your first
AI Employee?

Pre-configured. Autonomous. Ready on day one. Browse the catalog of premium agents and onboard a specialist in minutes.