PyPI agents

BYOM AI Agents - A terminal-based AI coding agent that works with any LLM provider (OpenAI, Anthropic, Google, etc.)

基于TradingAgents，结合ByQuant平台框架提供，支持CTP柜台接口股票期货期权策略编写、AI辅助编程、回测分析及模拟交易等

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

A small example package

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

This is a reserved placeholder package to mitigate dependency confusion risks.

ByzerLLM: Byzer LLM

A multi-provider Python code execution and dependency management agent

cLLM is an Open-source library that use llama-cpp-python and llama.cpp and provide a Low and High level API and allow developer to be more pythonic.

Openmp C pragma Modifier in Source Code

Python Agent for CA APM

A tool that allows you to use the OpenAI API with vLLM generate function

A version of the OpenAI package that allows the caching of responses

Auto-optimize LLM prompt caching. Save 60-90% on Claude, GPT & Gemini API costs.

cachly.dev adapters for LangChain, AutoGen & CrewAI – persistent memory, semantic long-term memory, and semantic cache for AI agents

Stub package

Reusable memory runtime for AI agents

MCP executor for Claude Code or Codex that offloads repetitive coding work to cheaper local or flat-rate models.

Cairo coverage module

calado LangChain callback handler — captures chain, LLM, tool, and retriever events and ships them to calado for analysis.

Control Google Calendar using OpenAI Agents

Framework for evaluating text and voice AI agents

由于国内网络限制无法使用 fake_useragent 库而制作的替代品

A lightweight, modular execution engine and routing framework for LLM agents.

RAG plugin for callai-agentic_core

Asynchronous, concurrent requests to the LLM REST APIs.

Keep callm and process thousands of requests without (rate) limits.

Python AMQP RPC module

一个简单的低负载联网网关，提供HTTP请求路由和处理功能

CallMe — AI agent that controls your computer via Telegram

A simple package that just says 'You called me!'

CallMeBot Python Client

A simple callmebot wrapper.

A comprehensive framework for automatic bias mitigation in AI systems

Persistent memory for LLM coding agents — local-first, model-agnostic, SQLite-backed

A light-weight package that allows you to monitor function calls with ease.

This is a project template.

Calnex Paragon Libraries. Content is copyright of calnexThis is just a pip version of the same

Communicative Agents for Mind Exploration - Implementation of CAMEL paper

An integration package connecting Database and Camel

Local-first honeypot token IDS for LLM and RAG applications.

Lightweight pre-RAG routing layer for LLM applications

data represent, processing

Cantus — A polyphonic framework for composing LLM agent harnesses (教學用)

A canvas langchain integration

Multi-agent coordination library — mission planning, crew delegation, tactical strategy scoring, and debrief reporting

Capability-based authority tokens for AI agent tool calls. Python bindings.

The CaptureFlow Tracer is a Python package crafted for in-depth tracing of function calls within Python applications. Its primary function is to capture and relay execution data to the CaptureFlow server-side system for decision making.

Caracal agent integration utilities — mandate-aware agent scaffolding and helpers

An efficient python library for building AI applications using the Retrieval-Augmented Generation (RAG) pipeline.

Functionalities for playing cards