lemmy — Agent Tool by badlogic

by badlogic · Agent Tool · ★ 1.5k

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About lemmy

Lemmy Monorepo A TypeScript ecosystem for building AI applications with unified LLM interfaces, terminal UIs, and practical tools. Core Packages @mariozechner/lemmy TypeScript library for building AI applications with multiple LLM providers. Unified interface, manual tool handling, and conversation management across Anthropic Claude, OpenAI, and Google Gemini. Key Features: Multi-provider support (Anthropic, OpenAI, Google) Manual tool execution with interception capabilities Context serialization and conversation management Streaming with thinking/reasoning support Type-safe tool definitions with Zod schemas @mariozechner/lemmy-tui Terminal UI framework with differential rendering for building interactive CLI applications. Key Features: Differential rendering for performance Text editing, autocomplete, and selection components Markdown rendering and syntax highlighting Composable component architecture Applications claude-bridge Use OpenAI, Google, and other LLM providers with Claude Code by intercepting and transforming API requests. lemmy-chat Interactive chat application demonstrating lemmy and lemmy-tui integration. Work in progress. red-teaming Red teaming example.

Quick Facts

Stars1,478
Forks284
LanguageTypeScript
CategoryAgent Tool
Quality Score28.15/100
Open Issues32
Last Updated2025-08-13
Created2025-05-23
Platformsnode
Est. Tokens~426k

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Frequently Asked Questions

What is lemmy?

lemmy is Wrapper around tool using LLMs for agentic workflows. It is categorized as a Agent Tool with 1.5k GitHub stars.

What programming language is lemmy written in?

lemmy is primarily written in TypeScript.

How do I install or use lemmy?

You can find installation instructions and usage details in the lemmy GitHub repository at github.com/badlogic/lemmy. The project has 1.5k stars and 284 forks, indicating an active community.

What are the best alternatives to lemmy?

The top alternatives to lemmy on Agent Skills Hub include agent-skills, raptor, skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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