autonomous digital workers
Beta

Stop Manual Work.
Rent Secure AI Agents for as low as $5 / hour

Deploy autonomous digital workers to handle CRM updates, competitor web scraping, file parsing, and inbox workflows 24/7. Run tasks safely in the background under strict governance.

Steffi is currently in private beta. Contact us to request access.

Pay-As-You-GoBuilt-in BrowserTask-level BudgetsSOC 2 Ready
steffi.ai - Agent Dashboard
The Digital Workforce

Stop copy-pasting.
Start delegating.

Hiring operations staff is expensive, and custom development is slow. Steffi provides ready-to-run digital workers that handle your repetitive web and document tasks securely.

Manual SaaS Bottlenecks

The Old Way

Teams waste hours copy-pasting data between Salesforce, HubSpot, emails, and databases. Custom software integrations take months to build and break constantly.

The Steffi Way

Steffi agents navigate tools, read files, and synchronize your systems automatically. No API development is required.

Fragile Chatbot Tools

The Old Way

Standard AI assistants require constant hand-holding, fail at multi-step tasks, and cannot run in the background for hours or days.

The Steffi Way

Steffi agents run autonomously on schedule or trigger. They plan, coordinate, and correct their own errors to complete the task.

Security and Data Leaks

The Old Way

Sending private customer files and credentials to public, unsecured AI platforms risk data breaches and regulatory compliance failure.

The Steffi Way

Built-in security guardrails prevent data leakage and role hijacks. Credentials stay protected inside an encrypted vault.

As low as $5hourly rental rate per agent
100% Autonomyruns 24/7 in the background
Zero Codinguses existing web interfaces
Core Technology

Compiled Rust runtime engine.
No black boxes, no third-party dependencies.

Every Steffi agent runs on a compiled Rust platform that manages tool routing, web browser interaction, memory stores, and scheduled tasks deterministically.

Custom-Trained Local Brain

Most AI agents struggle because they are overwhelmed by too many options. Steffi includes a specialized, lightweight model (SLM) that runs locally to handle memory and tool selection.

  • Smart Tool Selection: Dynamically selects a maximum of 5 tools and 1 skill per message turn.
  • Memory Management: Automatically extracts and updates key facts in the background.
  • Cost Reduction: Shrinks token usage and processing costs by preventing long, bloated prompts.
Technical Detail: The SLM runs as a quantized model directly on your node, acting as a gatekeeper to orchestrate agent tools deterministically.

Specter Native Browser

To automate the web, agents need to interact with websites like humans. Steffi includes Specter, a lightweight, Rust-based browser engine that loads pages and automates workflows natively.

  • Modern App Support: Loads complex single-page applications (SPAs) and interactive web interfaces.
  • Safe Execution: Runs completely isolated within the secure host container to protect your local network.
  • Direct Interaction: Allows agents to click, type, scroll, and extract content programmatically.
Notice: Specter does not support WebGPU. Websites requiring WebGPU or relying on WebGPU-based bot verification will not load.

Supervised DAG Scheduler

Steffi runs tasks as Directed Acyclic Graphs (DAGs) under strict, continuous process supervision, guaranteeing long-horizon stability and timezone-aware automation.

  • OTP Supervision Trees: Fault-tolerant supervision trees restart stuck agent threads without corrupting state.
  • Timezone-Aware Cron: Triggers tasks on exact intervals or cron configurations with missed-run recovery.
  • Sub-task Delegation: Parallel and sequential delegation boundaries protect memory and restrict loops.
Technical Detail: Orchestration scheduling and loop recovery are compiled in native Rust, preventing runaway token costs or deadlocks.

4-Tier Memory System

Instead of simple session history, Steffi agents maintain a comprehensive, persistent multi-tier memory to build specialized expertise over time.

  • Episodic & Semantic Stores: Recalls specific past event sequences (episodes) as well as generalized domain knowledge.
  • Intelligent Decay: Automatically compresses context windows using a task-aware vector memory routing layer.
  • Cross-Session Continuity: Remembers past mistakes and customer preferences across restarts.
Technical Detail: Utilizes a local hybrid database with vector embeddings to compact logs and fetch historical similarities in milliseconds.
Platform Capabilities

Functional components.
Complete team collaboration.

Everything your business needs to build and manage automated workflows. The platform carries the model, allowing team members to coordinate agent tasks easily.

Hybrid PM & Collaboration

Assign tasks directly to agents on a built-in project board. The platform manages role-based access control (RBAC) and automatically rolls up agent task status to human operators.

Multi-Agent Councils

Configure agents to deliberate in councils using four modes: Brainstorm, Debate, Review, and Consensus. This ensures multi-perspective checks before taking critical actions.

Powerful Platform SDK

Write custom scripts in Python or Node.js to define complex, repeating tasks. The SDK connects via a secure Unix domain socket gRPC gateway to control and orchestrate the platform.

SaaS & Web Plugins

Connect agents to your work environment with pre-built integrations for Salesforce, HubSpot, Slack, email, Google Drive, webhooks, databases, and local file managers.

Resource & Token Budgets

Enforce hard limits on daily tokens, API calls, and runtime per agent. Set warning thresholds to receive alerts automatically, preventing surprise bills and runaway costs.

Droid Control App

Wirelessly control physical Android devices without taking screenshots. Steffi operates entirely via structured markdown UI maps, making calls, sending SMS natively on physical SIM cards, and driving apps.

Regulated Industries & Beyond

Built for environments where
security is not optional.

While other agent systems struggle with data privacy, Steffi is engineered to protect information across financial, healthcare, and corporate sectors.

Financial Services

Verify KYC and anti-money laundering records. Agents run check pipelines across database networks and external portals, creating complete compliance reports with clear audit logs.

Healthcare Operations

Route and process patient record workflows securely. Steffi handles sensitive medical documents with automated data-masking to maintain compliance and protect privacy.

Enterprise IT Security

Automate incident triage runbooks. Agents check alerts and apply patches safely, referencing target systems without exposing system credentials.

Pricing Plans

Flexible plans for
every scale of work.

Rent an agent on a pay-as-you-go hourly model or lock in an always-on monthly seat. All pricing scales directly with model parameters and orchestration complexity.

Hourly Rental (Pay-as-you-go)Monthly Seat (720 hrs included)

Pro

Most Popular

For teams running complex, multi-agent automated pipelines.

$20/ hr
Model and Access Scopes
Operator Seats: Up to 5 seats
AI Execution Model: Advanced models (like Qwen or Gemma)
Rent Pro Agent
Included Capabilities
  • Includes everything in Lite
  • Owl Browser Developer license (1 seat, 5 contexts, 24 profiles limit)
  • Complex web automation
  • Multi-agent orchestration councils
  • Priority email and chat support
Example Tasks
  • ·Multi-agent database reconciliation: run parallel agents to check Salesforce against QuickBooks and highlight mismatches
  • ·Automated customer ticket triage: read Zendesk history via memory, query internal API scripts, and draft detailed replies
  • ·Scheduled contract ingestion: monitor Google Drive folders, run OCR on scanned PDFs, and extract critical terms

Steffi is currently in private beta. Contact us to request access or inquire about custom plans. Pre-paid credits are valid for one year. Monthly seats include 720 runtime hours, which are equivalent to running one agent continuously for 30 days.

Management Dashboard

See every decision, in real time

A management dashboard with live WebSocket events, deep analytics, and full CRUD for agents, tasks, memory, tools, and credentials.

steffi.ai - Agent Dashboard

Agent Dashboard

Real-time operational overview with metric cards, active agents, recent activity feed, task distribution charts, and quick actions.

Enterprise Ready

Enterprise AI security,
governed business outcomes.

Every autonomous agent runs within strict operational boundaries, protecting your data, secrets, and API budgets. Full audit trails built on SOC 2 control patterns.

The LLM is a powerful component inside the system, not the system itself. Planning, routing, scheduling, security, and memory management happen in compiled Rust, rendering them predictable, auditable, and deterministic.

6-Layer Prompt Guardrails

Inbound protection scanners block prompt injections, role-hijacking, and instruction overrides before they reach execution. Gated input filters preserve system integrity.

Antivirus File & Package Scans

Every file attachment and uploaded code package runs through static malware scans. Agents are blocked from interacting with files that do not pass safety verification.

Encrypted Credential Vault

Store API keys and database passwords with AES-256-GCM encryption. Agents execute tasks using credentials referenced by label, keeping plaintext secrets hidden from models.

Identity-Bound RBAC

Establish isolated workspaces with strict role-based access control (RBAC) for collaboration. Every single action is bound to the initiating identity, whether a human or their agent.

Sustainable ESG Compute

Orchestration runs in compiled Rust rather than heavy LLM prompts. This lets a local quantized model (like Qwen or Gemma) on a consumer GPU power complex tasks, reducing carbon footprints without limiting intelligence.

Chain-Hashed Audit Trail

Record every state change and tool call. All mutation logs are chain-hashed for immutable tamper detection, backed by an immediate manual freeze lockdown trigger.

Built by Olib AI

Why we built steffi.ai in Rust.

At Olib AI, we spent years deploying autonomous systems for enterprise clients. We repeatedly hit the same wall: existing Python-based agent frameworks were fundamentally unsuited for secure, 24/7 production use.

They leaked memory during long-running tasks, consumed massive amounts of tokens for basic orchestration, and offered zero protection against prompt injection attacks or data exfiltration.

We realized the industry needed a systems-engineering approach to AI. So we rebuilt the entire agent runtime from the ground up in compiled Rust.

SOC 2 Controls
Deterministic
Memory Safe

The Resulting Architecture

  • 1
    Complete IsolationThe LLM makes decisions; the Rust engine executes them. Tools are rigidly capability-gated.
  • 2
    5x Token EfficiencyONNX-based tool routing prevents context bloat, significantly reducing API costs.
  • 3
    Governance by DesignEvery token, API call, and memory write is strictly budgeted and immutably logged.
By The Numbers

Production-grade, by every metric

Not a proof of concept. A platform shipping today for teams running agents in production.

19
Production Plugins
Browser, CRM, Slack, Git, sandboxes & more
6
Security Layers
Multi-layer prompt injection defense
4
Memory Tiers
Persistent knowledge that grows over time
4
Council Modes
Brainstorm, Debate, Review, Consensus
24/7
Autonomous Runtime
Agents that run for hours or days
Better Together

Pair with Owl Browser

Owl Browser is a high-performance browser engine that replaces Playwright and Puppeteer with self-hosted infrastructure you control. 175+ automation tools, MCP protocol support, and hardware-level stealth, built for agents rather than retrofitted from human browsers.

256 Parallel Sessions

Run hundreds of browser sessions from a single instance with sub-12ms cold start. Process 1,000+ pages per hour per node.

Undetectable by Design

Hardware-level fingerprint virtualization produces unique browser identities. 100% pass rate against Cloudflare, DataDome, and fingerprint.com.

Self-Hosted, Zero Telemetry

Deploy on your own infrastructure. Built-in CAPTCHA solving, Tor integration, proxy management, and content extraction, without relying on external services.

Our Commitment

Green compute for a
sustainable AI future.

Olib AI believes that intelligence should not come at the cost of our environment. We build tools that optimize execution efficiency and run on local, low-power infrastructure.

The Energy footprint

Datacenter Overhead

Traditional AI frameworks run heavy loops on high-power remote GPU clusters. Constant API calls and bloated prompts drag massive server cooling, consuming megawatt-hours of electricity per task.

Steffi's Clean Approach

Steffi shifts Turn-by-Turn logic into compiled Rust code instead of relying on the LLM. By carrying the model, Steffi lets a local, quantized model (like Qwen or Gemma) on consumer GPUs execute complex tasks with minimal energy draw.

Rust Orchestration Efficiency

Replacing Python runtime loops and heavy recurrent LLM calls with native compiled Rust code. Steffi reduces active token compute by up to 5x, minimizing processor load.

Low-Power Local Execution

Steffi is engineered to support quantized models (like Qwen or Gemma) on consumer-grade workstation GPUs, cutting your dependence on massive datacenter server clusters.

Smart Token Compaction

Our custom-trained local SLM router dynamically selects a maximum of 5 tools and 1 skill per message turn. This keeps the prompt short, saving energy on every inference turn.

Zero-Idle Sleep Mode

Steffi suspends and takes the local LLM offline when the platform is idle. The scheduler automatically wakes and reloads the model right before scheduled tasks or user requests trigger, eliminating standby power draw.

Private Beta

Interested in steffi.ai?

steffi.ai is currently in private beta. Contact us to request access for teams building with autonomous AI agents. Pair with Owl Browser for undetectable web automation at scale.

Learn more at www.olib.ai