Laguna XS.2

Laguna XS.2

Poolside
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About

Laguna XS.2 is Poolside’s open-weight agentic coding model, built as the lightest and fastest model in the Laguna family. It is a 33B total-parameter Mixture of Experts model with 3B activated parameters, trained completely in-house on 30T tokens. As Poolside’s newest generation model open to the community, Laguna XS.2 is a second-generation architecture and the company’s first open-weight model, built on the lessons learned from training Laguna M.1 across synthetic data and reinforcement learning. The model is designed for agentic coding workflows, where it can code, act, iterate quickly, and perform best inside Poolside’s coding agent. Laguna XS.2 is positioned as a strong model for rapid agentic iteration, especially for developers and teams that need a compact, efficient coding model rather than a heavier frontier system. It is released under an Apache 2.0 license, allowing the community to evaluate, fine-tune, quantize, serve, and build on the weights.

About

ReinforceNow is an end-to-end platform for continual learning with AI agents, built to help teams deploy, train, and repeat. It lets developers build AI agents and continuously train them on production traffic, or let Claude Code help set it up automatically. It handles reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, so teams can focus on agent logic, data collection, and rewards. ReinforceNow supports fast LLM fine-tuning with LoRA, high-throughput training, and wide model support for open source models like Qwen, DeepSeek, and GPT-OSS. It provides advanced telemetry to evaluate, monitor, and iterate on AI agent LLM applications, with traces, rewards, experiment metrics, and training observability. Teams can train on long-horizon tasks with 32k to 1 million context size, build vertical agents for multi-turn and long-running tasks, and use rich tooling for reinforcement learning workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, coding-agent builders, and teams who need a fast model for agentic coding, rapid iteration, fine-tuning, quantization, and API-based development workflows

Audience

AI product teams building production agents that need continuous reinforcement learning, experiment tracking, model fine-tuning, and scalable deployment workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Poolside
Founded: 2023
United States
www.poolside.ai/models

Company Information

ReinforceNow
United States
www.reinforcenow.ai/

Alternatives

Alternatives

Devstral Small 2

Devstral Small 2

Mistral AI
TF-Agents

TF-Agents

Tensorflow
Laguna M.1

Laguna M.1

Poolside
Poolside

Poolside

Poolside.ai
GLM-5

GLM-5

Zhipu AI

Categories

Categories

Integrations

Claude Code
Agent Client Protocol (ACP)
Amazon Web Services (AWS)
Cline
DeepSeek
Hermes Agent
Hugging Face
Kilo Code
Nous Portal
OpenAI Codex
OpenCode
OpenRouter
Poolside
Qwen
Roo Code
Runpod
Visual Studio
Visual Studio Code
Zed
gpt-oss-120b

Integrations

Claude Code
Agent Client Protocol (ACP)
Amazon Web Services (AWS)
Cline
DeepSeek
Hermes Agent
Hugging Face
Kilo Code
Nous Portal
OpenAI Codex
OpenCode
OpenRouter
Poolside
Qwen
Roo Code
Runpod
Visual Studio
Visual Studio Code
Zed
gpt-oss-120b
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