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xLAM vs AgentRunKit
xLAM logo
xLAM
★ 621
vs
AgentRunKit logo
AgentRunKit
★ 24

xLAM vs AgentRunKit

xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.; 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

xLAM logoChoose xLAM if…

Function calling in LLMs

AgentRunKit logoChoose AgentRunKit if…

Build AI-powered chatbots with tool integration

02

Side-by-Side Comparison

Field
xLAM logoxLAM
AgentRunKit logoAgentRunKit
Category
LLM Infra
LLM Infra
Stars
★ 621
★ 24
License
APACHE
MIT
Updated
9mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Large Action Models, Function Calling, Agent Training
agent-framework, ai-agents, anthropic
03

Features

xLAM logoxLAM
01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
AgentRunKit logoAgentRunKit
01Agent 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

xLAM logoxLAM
↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
AgentRunKit logoAgentRunKit
↳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

xLAM logoxLAM
Trending
AgentRunKit logoAgentRunKit
TrendingLLM Infra
FAQ

FAQ

What is the difference between xLAM and AgentRunKit?
Both xLAM and AgentRunKit are in the LLM Infra category. xLAM has 621 stars, while AgentRunKit has 24 stars.
Which is better, xLAM or AgentRunKit?
The best choice depends on your use case. Choose xLAM if Function calling in LLMs, and AgentRunKit if Build AI-powered chatbots with tool integration.
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (APACHE).
Is AgentRunKit free or open source?
Yes, AgentRunKit is open source on GitHub (MIT).
→

Related

Alternatives to xLAM →Alternatives to AgentRunKit →xLAM details →AgentRunKit details →
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