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What is ReinforceNow?

ReinforceNow is a robust platform focused on continuous learning through AI agents, aimed at empowering teams to efficiently deploy, train, and iterate. Developers have the flexibility to build AI agents that can be trained continuously using actual production data or utilize Claude Code for automatic configuration of their setup. The platform takes care of essential elements such as reinforcement learning infrastructure, orchestrating experiments, managing agent versions, developing GPU training logic, and monitoring telemetry, which allows teams to focus on enhancing agent logic, accumulating data, and establishing reward systems. With capabilities for quick LLM fine-tuning via LoRA, high-throughput training, and extensive support for open-source models like Qwen, DeepSeek, and GPT-OSS, ReinforceNow significantly boosts developer productivity. It also features advanced telemetry tools that aid in evaluating, tracking, and refining AI agent applications, offering insights into traces, reward systems, experiment metrics, and training visibility. Teams are equipped to handle complex tasks that require context sizes from 32k to 1 million, create tailored agents for multi-turn interactions and long-term projects, and leverage various tools that facilitate their reinforcement learning processes, ultimately driving forward the boundaries of AI innovation. Furthermore, this comprehensive approach not only accelerates the learning cycle but also significantly enhances collaboration among team members, paving the way for transformative advances in AI technology.

What is GLM-5?

GLM-5 is Z.ai’s most advanced open-source model to date, purpose-built for complex systems engineering, long-horizon planning, and autonomous agent workflows. Building on the foundation of GLM-4.5, it dramatically scales both total parameters and pre-training data while increasing active parameter efficiency. The integration of DeepSeek Sparse Attention allows GLM-5 to maintain strong long-context reasoning capabilities while reducing deployment costs. To improve post-training performance, Z.ai developed slime, an asynchronous reinforcement learning infrastructure that significantly boosts training throughput and iteration speed. As a result, GLM-5 achieves top-tier performance among open-source models across reasoning, coding, and general agent benchmarks. It demonstrates exceptional strength in long-term operational simulations, including leading results on Vending Bench 2, where it manages a year-long simulated business with strong financial outcomes. In coding evaluations such as SWE-bench and Terminal-Bench 2.0, GLM-5 delivers competitive results that narrow the gap with proprietary frontier systems. The model is fully open-sourced under the MIT License and available through Hugging Face, ModelScope, and Z.ai’s developer platforms. Developers can deploy GLM-5 locally using inference frameworks like vLLM and SGLang, including support for non-NVIDIA hardware through optimization and quantization techniques. Through Z.ai, users can access both Chat Mode for fast interactions and Agent Mode for tool-augmented, multi-step task execution. GLM-5 also enables structured document generation, producing ready-to-use .docx, .pdf, and .xlsx files for business and academic workflows. With compatibility across coding agents and cross-application automation frameworks, GLM-5 moves foundation models from conversational assistants toward full-scale work engines.

Media

Media

Integrations Supported

Claude Code
Amazon Web Services (AWS)
Google Cloud Platform
Qwen
Runpod

Integrations Supported

Claude Code
Cherry Studio
Claw Code
Dessix
GLM Coding Plan
GLM-5-Turbo
Kilo Code
Ollama
OpenClaw
OpenRouter
Oxlo.ai
Qoder
Roo Code
Shiori
Sup AI
Yonoo

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

ReinforceNow

Company Location

United States

Company Website

www.reinforcenow.ai/

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

China

Company Website

z.ai/

Categories and Features

RLHF

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

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