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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

Open Coding Agents represent a suite of fully open, high-performance AI coding models along with a training methodology introduced by the Allen Institute for AI, designed to simplify the process of creating, customizing, and training coding agents across various repositories in an accessible, cost-effective, and transparent manner; this platform encompasses models, code, training recipes, and tools that can be activated with minimal configuration, allowing users to adapt agents to their specific codebases and engineering practices for a variety of tasks including code generation, code review, debugging, maintenance, and code explanation. By departing from conventional closed and costly systems, these agents provide an open pipeline that extends from models to training data, facilitating fine-tuning on internal code, which helps agents learn about organization-specific APIs, patterns, and workflows; the inaugural release, SERA (Soft-verified Efficient Repository Agents), sets a new standard in coding benchmarks while maintaining a significantly lower compute cost than typical solutions, showcasing the potential for innovation in the field of AI-driven coding. As the landscape of coding becomes increasingly complex, the introduction of such models promises to democratize access to advanced coding assistance, paving the way for a more efficient development process.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Agent Client Protocol (ACP) Yes 
Cline Yes 
Hermes Agent Yes 
Hugging Face Yes 
IntelliJ IDEA Yes 
Kilo Code Yes 
NVIDIA DRIVE No 
Nous Portal Yes 
Ollama Yes 
OpenAI Codex Yes 
OpenClaw Yes 
OpenCode Yes 
OpenRouter Yes 
Poolside Yes 
Roo Code Yes 
Visual Studio Yes 
Visual Studio Code Yes 
Zed Yes 

Integrations

Claude Code Yes 
Agent Client Protocol (ACP) No 
Cline No 
Hermes Agent No 
Hugging Face No 
IntelliJ IDEA No 
Kilo Code No 
NVIDIA DRIVE Yes 
Nous Portal No 
Ollama No 
OpenAI Codex No 
OpenClaw No 
OpenCode No 
OpenRouter No 
Poolside No 
Roo Code No 
Visual Studio No 
Visual Studio Code No 
Zed No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 No 
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) Yes 
In Person No 

Vendor Details

Company Name

Poolside

Founded

2023

Country

United States

Website

www.poolside.ai/models

Vendor Details

Company Name

Ai2

Founded

2014

Country

United States

Website

allenai.org/blog/open-coding-agents

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