Laguna M.1

Laguna M.1

Poolside
+
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About

Laguna M.1 is Poolside’s most capable model for agentic coding, built and trained in-house for software development workflows. It is a 225B total-parameter Mixture of Experts model with 23B activated parameters, trained completely in-house on 30T tokens using 6,144 interconnected NVIDIA H200 GPUs. Poolside trained Laguna M.1 from scratch with its own data work, training codebase, and async on-policy reinforcement learning in its agent harness, all with agentic coding in mind. The model is designed to perform at its best inside Poolside’s coding agent, where it can reason through software tasks, interact with tools, edit code, run tests, and support longer autonomous development sessions. Laguna M.1 is built for developers and teams working on complex coding tasks that require stronger reasoning, architectural understanding, terminal use, and multi-step execution than lightweight models can provide.

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

Software teams, AI coding-agent builders, and enterprise developers who need a coding model for code generation, debugging, architecture reasoning, and software engineering

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

Claude Opus 4.8

Claude Opus 4.8

Anthropic

Alternatives

TF-Agents

TF-Agents

Tensorflow
Laguna XS.2

Laguna XS.2

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
Google Cloud Platform
Kilo Code
Nous Portal
OpenAI Codex
OpenClaw
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
Google Cloud Platform
Kilo Code
Nous Portal
OpenAI Codex
OpenClaw
OpenCode
OpenRouter
Poolside
Qwen
Roo Code
Runpod
Visual Studio
Visual Studio Code
Zed
gpt-oss-120b
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