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Project 02

Rakira_

A purpose-built browser environment designed exclusively for AI agents. No GUI. No humans. Just raw, deterministic execution.

Latency:2.3s
Success Rate:~71%
rakira-daemon

# Initializing Rakira Daemon...

[OK] Loaded Chromium headless core

[OK] Bypassed webdriver detection

[OK] Attached residential proxy pool

# Awaiting agent instructions...

> agent.execute("extract_pricing", url="target.com")

Processing DOM tree...

//The Bottleneck

Every AI agent that browses the web today is hacking around a tool built for humans. Puppeteer, Playwright, Selenium — they're all wrappers around Chrome. A browser designed for humans, being puppeteered by machines.

  • [ERR] Brittle CSS selectors that break constantly
  • [ERR] Easily detected by anti-bot systems
  • [ERR] Session isolation is an afterthought

>The Rakira Protocol

Rakira asks: what if the browser was designed for agents from the ground up? Intent-based actions, native anti-detection, and enterprise-grade sandboxing.

  • [OK] Agent-first API, no DOM hacking
  • [OK] Intent-based actions, not selectors
  • [OK] Built-in anti-detection from day one

02System Architecture

01

Agent Interface Layer

A standardized API that any AI agent can call. Send a task, get a result. No browser knowledge required from the agent side — Rakira handles all DOM interaction, navigation, and rendering internally.

02

Rendering Engine

A modified Chromium-based engine optimized for speed over visual fidelity. Pages are parsed and rendered, but cosmetic painting is deprioritized. Structural DOM, network state, and interactive elements are the priority.

03

Action Executor

Translates high-level agent intents ('fill out this form', 'extract pricing data') into precise browser actions — clicks, keypresses, scrolls, waits. Handles retries, timeouts, and anti-bot detection automatically.

04

Security Sandbox

Every session runs in an isolated container. No persistent cookies, no cross-session data leakage, no access to the host filesystem. Enterprise-grade isolation for every task execution.

03Core Capabilities

Agent-First API

RESTful and WebSocket interfaces designed for machines, not humans. Structured JSON responses, predictable state management, and deterministic action execution.

Multi-Agent Coordination

Multiple agents can share a single browser session or coordinate across sessions. Built-in task queuing, handoff protocols, and shared context passing between agents.

Workflow Orchestration

Chain multi-step browser tasks into workflows. Login → navigate → extract → transform → submit. Each step is checkpointed and resumable on failure.

Anti-Detection Layer

Residential proxy rotation, realistic fingerprinting, human-like timing patterns, and CAPTCHA handling. Pages see a normal browser, not a bot.

Dual Rendering Modes

Headless mode for speed-critical tasks (API scraping, data extraction). Visual mode when the agent needs to understand page layout, screenshots, or visual context.

Session Recording

Every browser session is recorded — DOM snapshots, network logs, action traces. Full audit trail for debugging agent behavior and compliance.

#Integration Matrix

OpenClaw
[Supported]
Claude
[Supported]
Codex
[Supported]
OpenCode
[In Progress]
n8n
[Supported]
LangChain
[Planned]
AutoGPT
[Planned]
CrewAI
[Planned]

#Telemetry

Avg. Task Completion~71%Across 800+ test scenarios
Median Latency2.3sPer browser action step
Concurrent Sessions50+Per instance, tested
Anti-Detection Rate~89%Against top-10 anti-bot systems
Uptime (Internal)99.2%Over last 90 days of testing
Platforms Tested340+Websites in test suite
request-access.sh

Rakira is currently in private beta for select AI engineering teams.

> ./request_access --email="pixex.ad@gmail.com"