{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"PraisonAI is a framework for building and deploying multi-agent AI systems that can autonomously research, plan, and execute tasks. It abstracts away boilerplate by letting you define agents with instructions and goals, then orchestrate them across multiple LLM providers.","skillfed_tags":["multi-agent-framework","llm-orchestration","autonomous-agents"],"use_cases":["Build a research agent that autonomously gathers information from multiple sources and generates insights formatted as reports or markdown tables.","Deploy a 24/7 customer support bot on Telegram, Slack, or Discord with memory and knowledge-backed responses.","Automate multi-step business workflows where agents hand off tasks, verify results, and self-correct without human intervention.","Generate code, debug, and refactor existing codebases by defining agents that understand your requirements and codebase structure.","Extract, transform, and analyze data from APIs, databases, and web sources using autonomous data pipeline agents."],"what_it_does":"PraisonAI is a Python framework for building autonomous multi-agent systems powered by large language models. It abstracts the complexity of agent orchestration, planning, and execution, letting you define agents with natural-language instructions and goals, then deploy them to solve tasks like research, code generation, content creation, and workflow automation. The framework supports over 24 LLM providers (OpenAI, Anthropic, Gemini, Ollama, and others) and includes features like agent handoffs, memory, web search, code execution sandboxes, and self-reflection.\n\nYou install it via pip, set an LLM API key, and write agents in a handful of lines. The core SDK (praisonaiagents) is pure Python; the main praisonai package adds CLI tools and optional integrations for dashboards, visual builders, and chat interfaces. It's designed for developers who want to ship autonomous agents quickly without writing boilerplate, and it's actively maintained with a large community (8857 GitHub stars).","worth_installing":"Yes. PraisonAI is worth installing if you want to build multi-agent AI systems without writing orchestration boilerplate. It's actively maintained, has low install friction, carries a permissive MIT license, has no known vulnerabilities, and supports modern Python versions. The 20 runtime dependencies are typical for a framework and mostly well-established packages (litellm, pydantic, typer). The main trade-off is dependency weight\u2014if you need a minimal agent library, consider praisonaiagents alone. Otherwise, this is a solid choice for rapid agent development."},"id":"praisonai","links":{"html":"https://skillfed.io/packages/praisonai","md":"https://skillfed.io/packages/praisonai.md","pypi":"https://pypi.org/project/praisonai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"PraisonAI","python_support":"supports_current","summary":"PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."},"popularity":{"monthly_downloads":98006,"position":13116,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.6.162"}