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llmtrim vs xLAM
llmtrim logo
llmtrim
★ 171
vs
xLAM logo
xLAM
★ 634

llmtrim vs xLAM

llmtrim: llmtrim is a local proxy that intelligently compresses LLM API requests by removing wasted tokens, significantly reducing billing costs without impacting the quality of the LLM's responses. It offers versatile deployment options, including a proxy, CLI, MCP server, or library for various programming languages.; 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.

01

TL;DR

llmtrim logoChoose llmtrim if…

Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).

xLAM logoChoose xLAM if…

Function calling in LLMs

02

Side-by-Side Comparison

Field
llmtrim logollmtrim
xLAM logoxLAM
Category
LLM Infra
LLM Infra
Stars
★ 171
★ 634
License
AGPL-3.0
APACHE
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Proxy, Token Compression, Cost Optimization
Large Action Models, Function Calling, Agent Training
03

Features

llmtrim logollmtrim
01Transparent LLM API Request Compression via Local Proxy
02Intelligent Content Optimization for Various Data Types (logs, code, context, JSON)
03Guaranteed Answer Quality and Cost Savings with Automatic Reversion of Ineffective Compression
04Flexible Integration Options: CLI, Library (Python, Ruby, Swift, Kotlin), and MCP Server
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
04

Use Cases

llmtrim logollmtrim
↳Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).
↳Optimizing token usage in custom LLM applications and SDKs.
↳Compressing large context windows (e.g., pasted docs, conversation history) for RAG systems.
↳Shrinking verbose tool outputs like build logs, diffs, or large JSON arrays sent to LLMs.
xLAM logoxLAM
↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
05

Best For

llmtrim logollmtrim
Hidden GemEssential
xLAM logoxLAM
Trending
FAQ

FAQ

What is the difference between llmtrim and xLAM?
Both llmtrim and xLAM are in the LLM Infra category. llmtrim has 171 stars, while xLAM has 634 stars.
Which is better, llmtrim or xLAM?
The best choice depends on your use case. Choose llmtrim if Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider)., and xLAM if Function calling in LLMs.
Is llmtrim free or open source?
Yes, llmtrim is open source on GitHub (AGPL-3.0).
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (APACHE).
→

Related

Alternatives to llmtrim →Alternatives to xLAM →llmtrim details →xLAM details →
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