01
Agent-First API
RESTful and WebSocket interfaces designed for machines, not humans. Structured JSON responses, predictable state management, and deterministic action execution.
ResearchAI-Native Browser
Rakira
A browser built for AI, not humans.
Rakira is a purpose-built browser environment designed exclusively for AI agents. Traditional browsers were built for humans — visual rendering, mouse cursors, scrollbars. AI agents don't need any of that. They need structured DOM access, deterministic actions, and reliable execution. That's what Rakira provides.
01The Problem
AI uses human browsers.
That's the bottleneck.
Every AI agent that browses the web today is hacking around a tool built for someone else. Puppeteer, Playwright, Selenium — they're all wrappers around Chrome. A browser designed for humans, being puppeteered by machines.
The result? Brittle selectors that break on every deploy. Anti-bot systems that detect automation instantly. Session management that leaks state. Race conditions between page loads and actions. Every AI browser task is held together with duct tape.
Rakira asks: what if the browser was designed for agents from the ground up?
Current Approach
- × Human browsers puppeteered by scripts
- × Brittle CSS selectors that break constantly
- × Easily detected by anti-bot systems
- × No native multi-agent support
- × Session isolation is an afterthought
Rakira's Approach
- ✓ Agent-first API, no DOM hacking
- ✓ Intent-based actions, not selectors
- ✓ Built-in anti-detection from day one
- ✓ Native multi-agent coordination
- ✓ Sandboxed sessions by default
02Architecture
Four layers,
one engine.
- 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
Built for
machines.
02
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.
03
Workflow Orchestration
Chain multi-step browser tasks into workflows. Login → navigate → extract → transform → submit. Each step is checkpointed and resumable on failure.
04
Anti-Detection Layer
Residential proxy rotation, realistic fingerprinting, human-like timing patterns, and CAPTCHA handling. Pages see a normal browser, not a bot.
05
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.
06
Session Recording
Every browser session is recorded — DOM snapshots, network logs, action traces. Full audit trail for debugging agent behavior and compliance.
04Compatibility
Works with your
existing stack.
Rakira integrates with the AI tools you already use. Native SDKs, REST APIs, and plugin adapters — pick the integration that fits your workflow.
OpenClaw
Supported
Native SDK integration
Claude
Supported
MCP tool server
Codex
Supported
Function calling adapter
OpenCode
In Progress
CLI bridge in beta
n8n
Supported
Custom node package
LangChain
Planned
Tool wrapper Q4 2026
AutoGPT
Planned
Plugin interface Q4 2026
CrewAI
Planned
Agent tool Q1 2027
05Early Metrics
Where we
stand today.
Avg. Task Completion
~71%
Across 800+ test scenarios
Median Latency
2.3s
Per browser action step
Concurrent Sessions
50+
Per instance, tested
Anti-Detection Rate
~89%
Against top-10 anti-bot systems
Uptime (Internal)
99.2%
Over last 90 days of testing
Platforms Tested
340+
Websites in test suite
06Roadmap
What's
next.
Phase 1
Core Browser Engine
Complete
- →Chromium-based headless engine
- →Basic DOM interaction API
- →Session isolation
Phase 2
Agent Integration
In Progress
- →OpenClaw & Claude support
- →n8n custom node
- →Multi-agent sessions
Phase 3
Scale & Reliability
Upcoming
- →Distributed session pools
- →Auto-scaling infrastructure
- →Global proxy network
Phase 4
Intelligence Layer
Research
- →Visual page understanding
- →Self-healing selectors
- →Autonomous task planning
Build with Rakira
Get early access.
Rakira is in active development. We're onboarding teams building AI agents that need reliable browser automation. If that's you, let's connect.