Skyvern automates browser workflows using LLMs and computer vision. It’s open source (AGPL-3.0 license) and has demonstrated strong performance on the WebVoyager benchmark. Unlike traditional RPA scripts that break when websites change, Skyvern adapts in real-time using visual understanding.
Important guidance for AI agent tasks
Your step-by-step instructions for the AI agent to perform work go into the Tallyfy task description. Start with short, bite-size and easy tasks that are just mundane and tedious. Do not try and ask an AI agent to do huge, complex decision-driven jobs that are goal-driven - they are prone to indeterministic behavior, hallucination, and it can get very expensive quickly.
Integration possibilities with Tallyfy
Skyvern can be integrated with Tallyfy through webhooks or middleware platforms (Zapier, Make, n8n) to automate browser-based tasks. The integration follows this pattern: Tallyfy triggers the automation request, Skyvern executes the browser workflow, and returns structured data back to Tallyfy.
CAPTCHA solving and 2FA authentication (QR codes, email, SMS)
Enterprise proxy networks for geo-targeting
Livestream browser viewport for debugging
File downloads and uploads
Credit card form filling
Pricing:
Cloud: Pay-per-step pricing model (check current rates at skyvern.com)
Free tier available with starter credit
Self-hosted: Free (you pay for infrastructure and LLM API costs)
Multi-agent architecture
Skyvern’s multi-agent architecture splits work across specialized agents:
Planner Agent
Sets goals based on the overall objective
Maintains working memory of progress
Breaks complex tasks into sub-goals
Actor Agent
Executes specific actions for narrowly scoped goals
Reports completion status and issues
Handles browser interactions and element identification
Validator Agent
Checks if goals were achieved successfully
Provides feedback to Planner and Actor
Triggers retries when tasks fail
Specialized sub-agents:
Interactable Element Agent - Identifies buttons, forms, links in HTML
Navigation Agent - Plans action sequences to reach goals
Data Extraction Agent - Structures webpage data into JSON or CSV
Password Agent - Handles login forms with password manager integration
2FA Agent - Manages authentication prompts during login
Auto-complete Agent - Handles complex form fields like address lookups
Getting started
Choose deployment:
Skyvern Cloud - Visit app.skyvern.com for managed service with free starter credit
Self-hosted - Clone from github.com/Skyvern-AI/skyvern (requires Python 3.11+ or Docker)
Self-hosting setup (if chosen):
Local install: Run pip install skyvern, then skyvern init to configure
Docker: Clone repository, configure docker-compose.yml with LLM API keys, run docker compose up -d
Access UI at http://localhost:8080
Configure LLM provider:
Add API keys for your chosen provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Ollama, OpenRouter, Gemini, Novita AI)
Define your first task:
Specify url (starting URL)
Write prompt in natural language describing the goal
Optional: Add data_schema for structured extraction (JSON/CSV format)
Optional: Define error_codes for when to stop
Execute and monitor:
Run tasks via UI or API
Use livestream feature to watch the browser in real-time
Real-world use cases
According to Skyvern’s documentation, production deployments handle these scenarios:
Invoice management:
Automated login to multiple vendor portals
Download monthly statements and invoices
Rename, organize, and store files automatically
Job applications:
Apply to job postings across multiple platforms
Fill application forms with candidate information
Upload resumes and cover letters
Government compliance:
Submit forms to state and federal portals
Handle multi-step flows with 2FA
Upload documents and confirm receipt
E-commerce operations:
Purchase items from hundreds of different websites
Extract competitor pricing data
Post listings across multiple platforms
IT operations:
Employee onboarding and offboarding workflows
System access provisioning
Credential management across tools
Why Skyvern stands out
Resilient to website changes:
Traditional RPA scripts break when websites redesign. Skyvern uses visual understanding to adapt automatically - no XPath selectors to maintain.
Open source flexibility:
Self-host and customize without vendor lock-in. AGPL-3.0 license provides full source access.
Handles web complexity:
CAPTCHA solving, 2FA authentication, proxy networks for geo-targeting, and credit card processing work out of the box.
Proven performance:
Strong accuracy on WebVoyager benchmark across thousands of real-world tasks.
Scalable infrastructure:
API-driven design supports running thousands of parallel automation tasks through cloud or self-hosted deployments.
Important considerations
Prompt quality matters:
Vague instructions lead to failed tasks. Clear, specific prompts are essential for reliable automation.
Self-hosting requirements:
Running browser automation with LLMs requires significant CPU and RAM. Budget for infrastructure costs beyond the free software.
AGPL-3.0 license implications:
If you modify Skyvern and offer it as a public service, you must share your source code changes.
Website defenses exist:
Even with Skyvern’s anti-bot measures, aggressive automation can trigger rate limits. The cloud version includes proxy networks to help.
Task complexity limits:
Break down complex multi-step workflows carefully. Test incrementally to identify failure points early.
The computer AI agent market features enterprise-ready solutions like OpenAI Operator and Claude Computer Use alongside open-source options like Skyvern and Manus AI with each offering different strengths for automating web-based tasks that lack API access.
Computer AI Agents are software programs that can see interpret and interact with any screen interface using visual perception and natural language instructions to automate browser-based tasks while Tallyfy provides workflow orchestration structure and transparency around these AI-powered automation capabilities.
Twin.so builds AI browser automation agents for enterprise customers through direct partnerships with their Invoice Operator already serving over 500000 European SMBs through Qonto and potential Tallyfy integration would require custom development to connect browser-based document retrieval and web portal tasks with workflow orchestration.
OpenAI provides agent capabilities through tools like the Responses API and Agents SDK that integrate with Tallyfy to automate web interactions and document processing tasks by triggering webhooks and capturing structured outputs while routing failures to human review through conditional logic.