Source
PyPI agents
24,677 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.
24,677 agents · ranked by popularity · refine in the directory →
Source platform: PyPI →
PyPI agents — page 75 of 247
Up-to-date simple useragent faker with real world database
Up to date simple useragent faker with real world database
fake_useragent.
Up to date simple useragent faker with real world database
Fake User-Agent Generator with Gray Randomization
Simple package with fake user agents for your requests.
Randomly generate a valid useragent for faking a browser.
A mock LLM server for testing. Drop-in replacement for OpenAI and Anthropic APIs.
Deterministic semantic assertions for LLM tests. Freeze a judge's verdict once; replay it forever.
Inspect and manage fakellm-assert frozen judgment snapshots from the terminal.
Record real OpenAI/Anthropic API traffic and emit fakellm.yaml rules automatically.
A Fake OpenAI API based on pandora
⚠️ Sunset — Falcon ya no se mantiene. Migrá a Dulus: pip install dulus (https://github.com/KevRojo/Dulus)
falcon-llm
Enterprise cybersecurity threat intelligence agent with system tray integration
FalkorDB graph database integration for Haystack — enables GraphRAG with OpenCypher
Self-Hosted AI Companion Platform
gemini cli agent plugin for familiar
Fire one prompt at multiple LLMs in parallel, compare responses side by side.
AutoGPT plugin for Federal Acquisition Regulations (FAR) search
CrewAI tool for Federal Acquisition Regulations (FAR) search - multi-agent compliance
Faraday agent dispatcher to communicate an agent to faraday
The faraday agents run code remotely to ensure your domains. This info is triggered and published
LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
Haystack node to convert audio files into Documents.
Haystack node to convert text entities (documents, answers, etc...) into audio files.
AI Agent Observability SDK for Python
Convenience launcher that pulls in fast-agent-mcp and exposes the ACP CLI entrypoint.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
High-performance acceleration for CrewAI - 2-5x faster memory, tools, and task execution with zero code changes
Production HTTP server for LangChain/LangGraph agents — OpenAI-compatible API, streaming, session memory and agent discovery
High-performance Rust implementation of LangGraph components
High-performance Rust acceleration for LiteLLM
Generate llms.txt markdown from FastAPI OpenAPI schema for AI agents
Build AI agent fast.
The deployment layer for agentic applications. Build agents with anything. Ship them with FastAgentic.
A fast way to build AI agents for multiple platform
Build, debug, evaluate, and operate AI agents. The only SDK with fork-and-rerun Agent Replay.
Common utilities and tools for LangGraph agents by Fastal
Add an AI Agent to your FastAPI application. The agent knows how to interact with your endpoints within a chat interface.
AI Agent interface library for FastAPI with multi-platform support
A FastAPI extension for integrating common AI agent frameworks.
A powerful, extensible, and async-ready cloud object storage backend for FastAPI.
Laravel-inspired filesystem storage manager for FastAPI
Deprecated alias — the package has been renamed to guard-agent. Installing fastapi-guard-agent will transitively install guard-agent.
FastAPI for Large Language Models
A composable FastAPI LLM gateway with unified multi-provider support
FastAPI router factory for OpenAI-compatible Chat Completions, Responses, and Files endpoints
Fastapi FileSystem
FastAPI Storage Helper
FastAPI Storages
Fastband Agent Control - Universal platform for AI agent coordination, multi-agent orchestration, and autonomous development workflows
fastchatgpt: A tool to interact with large language model(LLM)
Generate high-quality LLM training datasets from documents with distillation and augmentation.
FastDeploy for Large Language Model
Haystack 2.x component to embed strings and Documents using fastembed embedding model
LangGraph testing plugin for fasteval -- wrap any compiled StateGraph with a minimal harness for chat, session, mocking, and node-level testing
Fastfold CLI — An autonomous agent for drug discovery research
FastAPI-style Gemini Protocol Framework
boost inference speed of GPT models in transformers by onnxruntime
Seamlessly integrate with top LLM APIs for speedy, robust, and scalable querying. Ideal for developers needing quick, reliable AI-powered responses.
fastllama
Fast and easy wrapper around LLMs.
High-performance parallel LLM API request tool with caching and multiple provider support
Fastmcp Agents Project
Pydantic AI Agent Bridge
CLI for running FastMCP and calling tools on it
An agent for maintaining documentation
An agent for interacting with Elasticsearch
An agent for interacting with the filesystem
Agents for GitHub
Agents for Simple Code
Agents with no dependencies on other libraries
MCP Library for FastMCP Agents
Bridge for AI Agents to leverage FastMCP
Pydantic AI Agent Bridge
Seamless integration between FastMCP and LangChain - convert MCP tools to LangChain StructuredTools
An MCP which adds terminal capabilities to an agent.
A fast PDF to Markdown converter optimized for LLM processing
An Efficient Retrieval Augmentation and Generation Framework for Intel Hardware.
CLI tool to manage the lifecycle of a RAG
A modular voice agent with swappable STT/TTS/LLM backends
FastRustRAG: Blazing-fast document deduplication using MinHash and LSH - 50-100x faster than Python
User-agent parsing library with Go backend
fat_llama is a Python package for upscaling audio files to FLAC or WAV formats using advanced audio processing techniques. It utilizes CUDA-accelerated calculations to enhance audio quality by upsampling and adding missing frequencies through FFT (Fast Fourier Transform), resulting in richer and more detailed audio.
fat_llama_fftw is a Python package for upscaling audio files to FLAC or WAV formats using advanced audio processing techniques. It utilizes cpu-accelerated calculations to enhance audio quality by upsampling and adding missing frequencies through FFT (Fast Fourier Transform), resulting in richer and more detailed audio.
Federated Learning for Large Language Models
AI agent for FC board farm automation
Local configuration utilities and helper APIs for flyingcircus.io system configuration.
FCC (Find → Create → Critique) Agent Team Framework
Fire Dynamics Simulator Python
A lightweight AI Agent framework for vertical domain applications
A lightweight personal AI agent operating system
An intelligent agent for suggesting features for machine learning datasets
Automated Feature Engineering Toolkit Based on Large Language Models
Simplified fine-tuning of retrieval-augmented generation (RAG) systems.
FedLLM: A Federated Learning Library for Large Language Models.