Source

PyPI agents

24,982 AI agents indexed on MeshKore from PyPI. Agent frameworks and tools published to the Python Package Index. Each entry links back to its project page.

24,982 agents · ranked by popularity · refine in the directory →

Source platform: PyPI

PyPI agents — page 136 of 250

llmling-models

Pydantic-AI models for AgentPool

llmling-provider-llm

LLMling provider based on the package 'llm'

llmlingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

llmlingua-promptflow

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

llmlink

LLMLink is a Python package that allows users to easily create LLM-powered Gradio applications

llmlinks

Add your description here

llmlite

A library helps to chat with all kinds of LLMs consistently.

llmloader

Loads a Langchain LLM by model name as a string.

llmlog-engine

High-performance columnar scan engine for LLM logs stored as JSONL

llmm
llmmanugen

A Python package for manuscript management, designed to handle hierarchical structures of sections and subsections.

llmmaster

A unified interface for interacting with multiple LLMs and generative AIs.

llmmd2pdf

A Shiny app to convert LLM Markdown exports to PDF with Quarto

llmmerge

A custom LLM-based git merge driver.

llmmodelsapi

SDK for interfacing with core models hosted by LLM Solutions

llmnet

A library designed to harness the diversity of thought by combining multiple LLMs.

llmo

AI pair programmer

llmobserve

Automatic cost tracking and observability for LLM applications

llmobserve-sdk

Automatic cost tracking and observability for LLM applications

llmocal

Professional open source client for running large language models locally

llmock

Zero-cost local mock server for LLM API resilience testing

llmockapi

An LLM-powered mock API server that dynamically generates realistic API responses based on OpenAPI/Swagger specifications.

llmoji

Making agents cuter

llmomics

LLM-powered bioinformatics pipeline generation from natural language

llmonad

Compositional framework for LLMs

llmonitor

Observability and monitoring for AI apps

llmonkey

A library to talk to different language models

llmonpy

AI pipeline framework for Python.

llmopenai

Create a Python package.

llmops
llmoptimize

Reduce LLM costs by 90% - AI recommendations with NO API keys needed!

llmosafe

Predictive resource-pressure instrumentation and runtime guardrails for systems processing untrusted inputs

llmovoice

Llmovoice python library

llmpackagetestidk

A test package for llm

llmparser

Extract structured, LLM-ready content from any website — adaptive engine, no LLMs required

llmpeg

LLM-powered FFmpeg command assistant

llmperf

A CLI tool for LLM performance testing

llmpic

LLM-powered chart generation Python SDK — create charts with natural language

llmpipeline

LLMPipeline is a Python package designed to optimize the performance of tasks related to Large Language Models (LLMs)

llmpivot

Runtime prompt control, versioning, and user management for production apps

llmplus

A package for using llm models with api

llmpm

LLM Package Manager — download, run, and share AI models from the command line

llmpool

Large Language Models' pool management library

llmpop

The Python library that lets you spin up any LLM with a single function. Route between local and remote LLMs with a unified interface.

llmport-agent

Node execution agent for llm-port cluster-managed runtimes.

llmport-cli

CLI installer and management tool for the llm.port platform

llmppl

A package for calculating perplexity using various language models

llmprice-kit

Fast, offline-first LLM pricing lookup with auto-sync from LiteLLM data. Get token costs, context windows, and capabilities for 2500+ models.

llmprices

Compare LLM API costs across providers from the command line

llmprint

CLI tool to print directory structure and file contents for LLM context generation

llmproc

A simple framework for LLM-powered applications

llmprogram

A Python package for creating and running LLM programs.

llmprompt-nexus

A unified framework for interacting with various LLM providers through a consistent interface with batch processing, templating, and rate limiting.

llmpromptdefender

Static security scanner for LLM and agentic source code — finds prompt-injection, context-leak, PII, RAG, and agent-tool vulnerabilities before deployment.

llmpromptkit

A comprehensive LLM Prompt Management System

llmpromptvault

Version, compare, and manage your LLM prompts. No API keys required. Bring your own model.

llmprototyping

A lightweight set of tools to use several llm and embeddings apis

llmproxy
llmproxy-withlog

OpenAI-compatible LLM reverse proxy with real-time conversation analytics

llmpy-lib

Easily interact with all main LLMs

llmpy-models

Automatically generated LLM models for llmpy-lib

llmq

todo

llmq-gate

LLM Quality Gate - A provider-agnostic evaluation framework for LLM applications

llmqa
llmquery

A package for querying various LLM providers

llmrails

LLMRails SDK

llmreader

Intercept OpenAI inputs

llmready

A CLI tool to check if your local hardware can run a Hugging Face LLM.

llmrecsys

Recommendation systems with LLMs from Shaped.ai

llmregress

Prompt regression testing for RAG pipelines. Like git diff, but for AI.

llmrelic

A lightweight Python library providing easy access to popular LLM model names, metadata (context windows, capabilities, pricing tiers), and support definitions. Born from a failed experiment on context data compression for LLMs with finite context windows, this library helps developers manage model names, validate support, search by capabilities, and find models by requirements without hardcoding strings or maintaining spreadsheets.

llmreplay

Deterministic replay debugger for LLM agents

llmrepo

A package for building and managing tools for Large Language Models

llmrf

轻量级的 LLM 响应格式化工具,支持标准响应和流式响应

llmring

Unified Python interface for OpenAI, Anthropic, Google, and Ollama LLMs

llmring-registry

LLMRing public model registry CLI and tools (manual curation workflow)

llmring-server

LLMRing core server: alias sync, receipts, and usage logging (key-scoped, no users)

llmrix-skill

A professional Git-based Skill management library for LLM agents.

llmrouter-lib

A unified framework for LLM routing and evaluation.

llmrun

LLM Stack Python SDK

llmrush

LlmRush: A Python package for training and Inference language models

llms-Arunsingh

A unified interface for multiple LLM providers

llms-bridge-mcp

MCP server to bridge LLM calls via Model Context Protocol

llms-combo

A simple example package

llms-dev

Fuzzy search LLM models from models.dev

llms-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

llms-py

A lightweight CLI tool and OpenAI-compatible server for querying multiple Large Language Model (LLM) providers

llms-sitemap-generator

AI-friendly llms.txt & sitemap generator for websites. Crawl or import sitemaps, filter pages, and generate curated indexes for LLMs.

llms-txt

The /llms.txt file, helping language models use your website

llms-txt-action

GitHub Action to make documentation more accessible to LLMs.

llms-txt-mcp

Lean MCP server for minimal-context docs via llms.txt

llms-txt-rs

Module for parsing llms.txt files

llms-wrapper

Package for simple usage of diverse LLMs and configuring them using human readable config files

llms4pcg

LLMs4PCG is a python package containing required and utility functions as a part of LLMs4PCG competition.

llmsanitize

LLMSanitize: a package to detect contamination in LLMs

llmsays

One-line LLM queries with smart routing and provider failover

llmsbrieftxt

Generate llms-brief.txt files from documentation websites using AI

llmscan

A fast, modern CLI that shows which local LLMs fit on your machine

llmschema

A structured response wrapper for LLMs using Pydantic.

llmscope

a Python library designed to simplify interactions with Large Language Models (LLMs) by providing a stateful, fluent interface for managing conversation history, tool usage, and response parsing. It leverages libraries like `mirascope` for LLM calls and `pydantic` for data validation and parsing.

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