Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Laguna XS.2 represents Poolside’s innovative open-weight coding model, distinguished as the lightest and quickest member of the Laguna series. This model features a total of 33 billion parameters in a Mixture of Experts setup, with 3 billion parameters activated, and has been meticulously trained in-house using 30 trillion tokens. As the latest generation model accessible to the public, it embodies a second-generation architecture and marks Poolside’s inaugural open-weight offering, drawing from insights gained during the training of Laguna M.1 with synthetic data and reinforcement learning techniques. Specifically designed to enhance agentic coding workflows, Laguna XS.2 excels in coding, acting, and rapidly iterating, particularly within Poolside’s coding agent environment. This model is particularly advantageous for developers and teams seeking a lightweight, efficient coding solution rather than a more cumbersome frontier system. Released under the permissive Apache 2.0 license, it empowers the community to assess, fine-tune, quantize, and build upon its weights, fostering a collaborative development atmosphere. In essence, Laguna XS.2 not only provides a robust platform for agentic coding but also encourages innovation and experimentation among its users.
Description
Frontier AI labs use Patronus AI to train models and agents on realistic, multi-step work. The company designs reinforcement learning environments modeled on everyday digital tasks, from writing and shipping code to operating websites, resolving customer support requests, and completing financial workflows. Every environment combines replicas of real software with task definitions and reward signals, and it introduces the friction agents meet in practice, including slow responses, changing interfaces, and interruptions. Alongside these environments, Patronus AI researches Digital World Models: AI models that learn how software environments respond to an agent’s actions, making it possible to create new training environments automatically and keep them challenging as model capabilities grow. Labs apply this work across post-training, benchmarking, and evaluation.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Agent Client Protocol (ACP)
Yes
Claude Code
Yes
Cline
Yes
Hermes Agent
Yes
Hugging Face
Yes
IntelliJ IDEA
Yes
Kilo Code
Yes
Nous Portal
Yes
Ollama
Yes
OpenAI Codex
Yes
Integrations
Agent Client Protocol (ACP)
No
Claude Code
No
Cline
No
Hermes Agent
No
Hugging Face
No
IntelliJ IDEA
No
Kilo Code
No
Nous Portal
No
Ollama
No
OpenAI Codex
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Custom pricing based on project scope. Contact Patronus AI to discuss.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Poolside
Founded
2023
Country
United States
Website
www.poolside.ai/models
Vendor Details
Company Name
Patronus AI
Founded
2023
Country
United States
Website
www.patronus.ai/
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
Yes
Multi-Language
No
Natural Language Processing
Yes
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No