{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/21"},{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/5"}],"enrichment":{"capability":"AI-Parrot is an async-first Python framework for building, extending, and orchestrating AI agents and chatbots with unified LLM provider support, tool management, agent-to-agent communication, and Model Context Protocol (MCP) serving.","skillfed_tags":["async-first","multi-agent","llm-framework"],"use_cases":["Build a chatbot with tool-calling capabilities that queries weather APIs, databases, or custom services in response to user queries.","Orchestrate multi-agent workflows where agents communicate with each other to solve complex tasks (e.g., research agent + summarizer agent).","Deploy an autonomous agent as a systemd service using the CLI, with configuration-driven LLM provider selection and credential management.","Serve agents via the Model Context Protocol (MCP) to integrate with external tools and clients that speak the MCP protocol.","Rapidly prototype AI applications by switching between LLM providers (OpenAI, Claude, Gemini, etc.) without rewriting agent logic.","Build RAG (Retrieval-Augmented Generation) pipelines using the document loaders package for PDF, YouTube, audio, and web content."],"what_it_does":"AI-Parrot is an async-first framework for building AI agents and chatbots in Python. It abstracts over multiple LLM providers (OpenAI, Anthropic, Google, Groq, X.AI, HuggingFace, vLLM, OpenRouter, and Ollama), exposing a unified client interface for completions, vision, embeddings, and image generation. The core package provides base abstractions (`AbstractTool`, `AbstractToolkit`, `@tool` decorator) and lightweight built-in tools; heavier implementations and specialized pipelines are split into separate packages (ai-parrot-tools, ai-parrot-loaders, ai-parrot-pipelines) so you install only what you need.\n\nThe framework is built on navigator-api and emphasizes async-first design with support for agent-to-agent (A2A) communication, memory management, tool orchestration, and serving agents via the Model Context Protocol (MCP). It includes a CLI (`parrot`) for interactive setup, configuration, MCP server startup, and autonomous agent deployment as systemd services. Whether you need a simple chatbot, multi-agent workflows, or a production-ready AI service, the framework exposes the primitives to build it efficiently.","worth_installing":"Yes, with conditions. AI-Parrot is actively maintained, has no known vulnerabilities, and offers a well-structured async framework for agent and chatbot development with broad LLM provider support. The modular monorepo design lets you install only what you need. However, the 44 runtime dependencies create medium install friction; verify that the dependency footprint is acceptable for your deployment environment. Best suited for developers building production AI agents or multi-agent orchestration systems who can tolerate the dependency load and require async-first design."},"id":"ai-parrot","links":{"html":"https://skillfed.io/packages/ai-parrot","md":"https://skillfed.io/packages/ai-parrot.md","pypi":"https://pypi.org/project/ai-parrot/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":"MIT","license_treatment":"permissive","name":"ai-parrot","python_support":"supports_current","summary":"Framework for building AI agents for Navigator"},"popularity":{"monthly_downloads":86802,"position":13836,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.25.35"}