Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).
⚡ Executive Summary & Quick Facts
Authoritative Sourcellmtrim is llmtrim is an open-source project written in Rust: Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.
| Repository | fkiene/llmtrim ↗ |
|---|---|
| Primary Category | agentic coding |
| Language & Stack | Rust |
| Software License | MPL-2.0 |
| Community Traction | ★ 253 stars · ⑂ 23 forks · #13,008 globally |
| Maintenance | ● Active (Last commit: Oct 20, 2026) · 13 open issues |
| Replaces SaaS | Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) → |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,265
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
llmtrim gained 10 stars in the last 30 days, about 1 a day, and now has 253. It is about 1 year old and has averaged roughly 253 stars a year. It ranks #1,265 among Rust repositories and #13,008 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#13072
BEST RANK
Oct 21, 2026
FIRST APPEARANCE
Active
STATUS TODAY
llmtrim has maintained a continuous presence across global trending indexes, peaking at #13072. Below is the 30-day activity profile:
💡 Overview
llmtrim is an open-source project written in Rust: Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-coding, ai, anthropic. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Rust for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ cargo install llmtrim⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
llmtrim coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with llmtrim.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install llmtrim using your package manager: `cargo install llmtrim`
Initialize your project workspace or configuration file for llmtrim.
Import llmtrim into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llmtrim --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
fkiene/llmtrim is currently ranked #13,008 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,992 | marcus/td | Go | ★ 254 | Compare ↗ |
| #12,992 | maksimzayats/diwire | Python | ★ 254 | Compare ↗ |
| #12,992 | cordwainersmith/Claudoscope | Swift | ★ 254 | Compare ↗ |
| #12,992 | teidesu/inugram | Kotlin | ★ 254 | Compare ↗ |
| #12,992 | rcieri/glab-tui | Rust | ★ 254 | Compare ↗ |
| #13,008 | fkiene/llmtrim This Project | Rust | ★ 253 | |
| #13,008 | pyknite/catwm | C | ★ 253 | Compare ↗ |
| #13,008 | mako-framework/framework | PHP | ★ 253 | Compare ↗ |
| #13,008 | cloudfoundry/credhub | Java | ★ 253 | Compare ↗ |
| #13,008 | landgreen/n-gon | JavaScript | ★ 253 | Compare ↗ |
| #13,008 | apache/maven-wrapper | Java | ★ 253 | Compare ↗ |
Frequently Asked Questions
What does llmtrim do? +
Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).
What language is llmtrim written in? +
The primary language is Rust. Topics include: agentic-coding, ai, anthropic, claude-code, cost-reduction.
Is llmtrim actively maintained? +
Yes, the last recorded push was on Oct 20, 2026 with 13 open issues being tracked.
How many stars does llmtrim have? +
llmtrim has 253 stars and 23 forks on GitHub.
How does llmtrim rank among GitHub repositories? +
With 253 stars, fkiene/llmtrim is ranked #13,008 globally across all repositories tracked on GitHubRepo and #1,265 among Rust projects.
What license is llmtrim distributed under? +
The repository reports a MPL-2.0 license. Always verify the repository LICENSE file for legal terms.
