AgentIndex icon
AgentIndex
run402 logo
run402
★ 24
vs
rllm logo
rllm
★ 5.9k

run402 vs rllm

run402: run402 is a backend platform providing comprehensive services for AI agents, including a full Postgres database, REST API, user authentication, content-addressed file storage, serverless functions, and image generation. It enables agents to autonomously build and deploy full-stack applications through various interfaces like SDKs, CLIs, and MCP tools.; rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.

01

TL;DR

run402 logo
run402LLM Infra · ★ 24

AI agents building and deploying full-stack web applications with integrated data, compute, and storage.

Read run402 full review →
rllm logo
rllmLLM Infra · ★ 5.9k

Training powerful coding models for tasks like code generation and bug fixing.

Read rllm full review →
02

Side-by-Side Comparison

Field
run402 logorun402
rllm logorllm
Category
LLM Infra
LLM Infra
Stars
★ 24
★ 5.9k
License
MIT
Apache-2.0
Install Command
npm install -g run402@latest
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Backend Services, PostgreSQL
Reinforcement Learning, Language Agents, LLM
03

Features

run402 logorun402
01Full-stack backend services (Postgres, REST API, Auth, Storage, Static Sites, Serverless Functions, Image Generation).
02Multi-interface control via TypeScript SDK, CLI, MCP tools, OpenClaw skill, and Astro integration.
03Autonomous, x402 USDC-based payment for agent-driven operations and deployments.
04Declarative deployment with manifest files and integrated CI/CD for GitHub Actions.
05Built-in RLS-aware database clients and helpers for in-function logic (e.g., `db()`, `adminDb()`, `auth`, `email`, `ai`).
rllm logorllm
01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
04

Use Cases

run402 logorun402
↳AI agents building and deploying full-stack web applications with integrated data, compute, and storage.
↳Automating backend infrastructure provisioning and management for agent-driven development workflows.
↳Creating dynamic content, such as generated avatars or OG images, directly within serverless functions.
↳Implementing CI/CD pipelines for continuous deployment of agent-developed applications using GitHub Actions.
↳Developing multi-agent systems requiring persistent state, authenticated user access, and dynamic asset management.
rllm logorllm
↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
05

Best For

run402 logorun402
—
rllm logorllm
Trending
FAQ

FAQ

What is the difference between run402 and rllm?
Both run402 and rllm are in the LLM Infra category. run402 has 24 stars, while rllm has 5.9k stars.
Which is better, run402 or rllm?
The best choice depends on your use case. Choose run402 if AI agents building and deploying full-stack web applications with integrated data, compute, and storage., and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is run402 free or open source?
Yes, run402 is open source on GitHub (MIT).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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Alternatives to run402 →Alternatives to rllm →run402 details →rllm details →