rllm
★ 5.9k
vs
AgentRunKit
★ 35
rllm vs AgentRunKit
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.; AgentRunKit: AgentRunKit is a lightweight Swift 6 framework for building LLM-powered agents with type-safe tool calling. It features zero dependencies, full Sendable support, async/await concurrency, and compatibility with both cloud and on-device models via MCP.
01
TL;DR
rllmLLM Infra · ★ 5.9k
Training powerful coding models for tasks like code generation and bug fixing.
AgentRunKitLLM Infra · ★ 35
Build AI-powered chatbots with tool integration
02
Side-by-Side Comparison
Field
rllmAgentRunKitCategory
LLM Infra
LLM Infra
Stars
★ 5.9k
★ 35
License
Apache-2.0
MIT
Install Command
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
swift package add https://github.com/Tom-Ryder/AgentRunKit.git
Updated
1w ago
3w ago
Open Source
Yes
Yes
Tags
Reinforcement Learning, Language Agents, LLM
agent-framework, ai-agents, anthropic
03
Features
rllm01Open-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.
AgentRunKit01Agent loop with configurable iteration limits and token budgets
02Streaming with AsyncThrowingStream and @Observable SwiftUI wrapper
03Type-safe tools with compile-time JSON schema validation
04Sub-agent composition with depth control and streaming propagation
05Multimodal input: images, audio, video, PDF
04
Use Cases
rllm↳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.
AgentRunKit↳Build AI-powered chatbots with tool integration
↳Automate complex workflows using LLM agents
↳Create intelligent assistants for on-device or cloud inference
05
Best For
rllmTrending
AgentRunKit—
FAQ
FAQ
What is the difference between rllm and AgentRunKit?
Both rllm and AgentRunKit are in the LLM Infra category. rllm has 5.9k stars, while AgentRunKit has 35 stars.
Which is better, rllm or AgentRunKit?
The best choice depends on your use case. Choose rllm if Training powerful coding models for tasks like code generation and bug fixing., and AgentRunKit if Build AI-powered chatbots with tool integration.
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
Is AgentRunKit free or open source?
Yes, AgentRunKit is open source on GitHub (MIT).
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