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Python agents

65,607 Python AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.

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Python agents — page 491 of 657

llamazure.rid

Azure Resource IDs you can use

llamazure.tf

Generate some azurerm resources without the headache

llamazure.tools

A bundle of helpful tools for dealing with Azure

llamazure.tresource

Group Azure resources into their hierarchy

lllm-core

Protocol and service layer for reusable agentic tactics.

llm

CLI utility and Python library for interacting with Large Language Models from organizations like OpenAI, Anthropic and Gemini plus local models installed on your own machine.

llm-1min

LLM access to models served by 1minAI

llm-1minai

LLM plugin providing access to 75+ AI models through 1min.ai API v2 (chat-with-ai endpoint) with SSE streaming, attachments, AI memory, brand voice, web search, and persistent options

llm-accounting

A package for tracking LLM usage and costs

llm-actor

LLM actor: pool, circuit breaker, retries, metrics

llm-acuration

An LLM package made by Acuration

llm-adapter-gen-ai-proj

Generic abstraction layer for GenAI services

llm-adapters

Adapters as API gateways to Different LLM Models

llm-adaptive-router

An adaptive router for LLM model selection

llm-ads

FastAPI middleware for LLM ad serving integration

llm-agent

Multi-Agent Language Game Environments for Large Language Models

llm-agent-bench

Benchmark autonomous AI agents on task completion, tool use, goal adherence, and safety. Works with any agent — just provide a callable.

llm-agent-graph

A short description of your library

llm-agent-plugin

plugin for simonw's llm to add a langchain agent

llm-agent-protector

Polymorphic Prompt Assembler to protect LLM agents from prompt injection and prompt leak

llm-agent-scaffolder

A scaffolding tool to quickly generate a boilerplate for a custom LLM Agent Framework.

llm-agent-toolkit

LLM Agent Toolkit provides minimal, modular interfaces for core components in LLM-based applications.

llm-agentguard

Detect silent failures in LLM agents

llm-agents

llm_agents

llm-agents-from-scratch

Build an LLM agent, equipped with MCP, from scratch.

llm-agentspec

Deterministic, pytest-style contracts for LLM agent tool calls: order, budgets, forbidden tools, approval gates

llm-agenttree

Tree-structured multi-agent runtime with a FastAPI core, LangChain agents, and event-driven executors.

llm-aggregator

A model aggregator service for multiple LLM backends.

llm-agregator

A package for generating diagrams using various models

llm-alias-options

LLM plugin to save prompt options alongside an alias

llm-alignment

A small example package

llm-all-models-async

Make all LLM sync models available as async

llm-analysis

Latency and Memory Analysis of Transformer Models for Training and Inference

llm-analysis-assistant

An LLM analysis assistant to help you understand and implement PMF

llm-annotator

An easy-to-extend LLM annotator for robust, resumable data annotation.

llm-anon

CLI tool to anonymize code using local LLM before sending to Claude Code

llm-anthropic

LLM access to models by Anthropic, including the Claude series

llm-antibodies

Antibodies for LLM hallucinations

llm-anygate

A flexible gateway for connecting and managing multiple LLM providers

llm-anyscale-endpoints

LLM plugin for models hosted by Anyscale Endpoints

llm-api-access

Unified interface to query popular LLM providers via PyO3

llm-api-adapter

Lightweight multi-provider LLM API adapter for Python — OpenAI, Anthropic, Google, Mistral, xAI, Qwen, Kimi, DeepSeek, and Z.ai.

llm-api-benchmark-mcp-server

Runs a throughput benchmark for LLM APIs, measuring generation throughput, prompt throughput, and Time To First Token (TTFT) under various concurrency levels.

llm-api-bridge

A unified interface for querying multiple LLM providers via REST APIs

llm-api-client

A client for interacting with LLM completion APIs and tracking usage.

llm-api-engine

Unified LLM API provider and engine library

llm-api-multiple

The official Python library for the llm_api API

llm-api-open

Unofficial open APIs for popular LLMs with self-hosted redirect capability

llm-api-python

A python lib to call LLM API models.

llm-api-router

A unified API routing library for Large Language Models

llm-api-scope

read and cache structured documents from remote for LLM agents

llm-api-server

LLM plugin to expose a FastAPI server with compatible APIs for popular LLM clients

llm-apigateway

Debug your AI programs with ease through a web-based interface. Modify inputs and outputs, and leverage the power of custom Python filters.

llm-apm

LLM Application Performance Monitoring - Real-time monitoring for LLM-powered applications

llm-app

LLM-App is a library for creating responsive AI applications leveraging OpenAI/Hugging Face APIs to provide responses to user queries based on live data sources. Build your own LLM application in 30 lines of code, no vector database required.

llm-apple

LLM plugin for Apple Foundation Models (Apple Intelligence)

llm-arbiter

A/B testing for LLMs. Statistical proof, not vibes.

llm-arxiv

LLM plugin for loading arXiv papers

llm-as-dom

AI browser pilot — test your app 60x cheaper. MCP server binary wrapper.

llm-as-dom-mcp

AI browser pilot — test your app 60x cheaper. MCP server binary wrapper.

llm-as-function

Embed your LLM into a python function

llm-assert

DEPRECATED: llm-assert has been renamed to callspec. Install with: pip install callspec

llm-assistant

Collection of simple LLM applications

llm-assistant-framework

A flexible framework for building AI assistants using various LLMs

llm-astar

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.

llm-async

Multi-LLM Provider Library

llm-attestation

LLM Attestation → This package is now `aiir`. Install: pip install aiir

llm-attributor

A Python package to run LLMAttributor in your computational notebooks.

llm-authz-audit

Static security analyzer for LLM applications — eslint for LLM security

llm-auto-context

CLI tool for creating code snapshots with configurable settings

llm-auto-eda

An intelligent automated exploratory data analysis tool powered by Large Language Models, providing in-depth insights and visualizations for your datasets

llm-autobatch

Automatic micro-batching for HTTP LLM calls and local PyTorch inference, backed by a Rust core.

llm-autodocs

llm-autodocs 🧞: Automatically generate docstrings for your codebase using LLMs.

llm-autoeval

A placeholder package for llm_autoeval

llm-autotune

39% faster TTFT, 67% less KV cache, zero config — autotune optimises local LLMs on Ollama, LM Studio, and MLX

llm-axe

A toolkit for quickly implementing llm powered functionalities.

llm-azure

Azure AI Foundry plugin for LLM - access Anthropic, Llama, Mistral and more via Azure

llm-azure-ai

Add your description here

llm-azure-ai-foundry

LLM plugin to access model deployments on Azure AI Foundry and Foundry Local

llm-azure-api-embed

Create embeddings using the Azure API

llm-azure-openai

LLM plugin to access Azure OpenAI models

llm-azure-tts

Text-to-speech using the Azure OpenAI TTS API

llm-base

LLM Base

llm-bash-helper
llm-batch

Batch CLI tool for running batch inference with local LLMs

llm-batch-annotate

Batch-oriented LLM annotation workflows for tabular datasets with OpenAI Batch support.

llm-batch-processor

A package to process CSV text data in batches using OpenAI API

llm-batch-py

Cron-friendly batch LLM processing for Polars.

llm-bedrock

Run prompts against models hosted on AWS Bedrock

llm-bedrock-amazon

LLM plugin for Amazon Titan on AWS Bedrock

llm-bedrock-anthropic

LLM plugin for Anthropic's Claude on AWS Bedrock

llm-bedrock-converse

LLM plugin for AWS Bedrock Converse API with tool calling and embeddings support

llm-bedrock-meta

LLM plugin for Meta Llama2 on AWS Bedrock

llm-bedrock-mistral

LLM plugin for Mistral on AWS Bedrock

llm-bedrock-nova

LLM plugin for Amazon's Nova on AWS Bedrock

llm-bedrock-titan-image

An LLM plugin for supporting Amazon Titan image generators on Amazon Bedrock.

llm-behave

Behavioral testing for LLM applications. pytest plugin with semantic assertions, multi-turn conversation testing, and drift detection. No LLM judge needed.

llm-behavior-diff

Behavioral regression testing tool for LLM model upgrades. Compare model versions and detect behavioral changes.

llm-behavior-eval

Evaluate large-language models for undesirable behaviors such as bias.

llm-bench

LLM Benchmarking tool for OLLAMA

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