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30
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Agentic Readiness Score
ai-tools aillms-txt

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Agentic Ready 30/100

            

llms.txt Content

{\rtf1\ansi\ansicpg1252\cocoartf2822 \cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;} {\colortbl;\red255\green255\blue255;} {\*\expandedcolortbl;;} \margl1440\margr1440\vieww38200\viewh19980\viewkind0 \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0 \f0\fs48 \cf0 # Botpress\ > The modern platform for building and managing AI agents.\ \ Botpress is a full-stack platform for creating, deploying, and managing AI agents powered by large language models (LLMs). It combines a visual builder, real-time orchestration, and safety systems so teams can automate conversations, workflows, and integrations without losing control or visibility. \ Botpress is used by developers, startups, and enterprises to turn AI capabilities into production-ready agents that communicate, take actions, and make decisions.\ \ ## Overview\ - [Homepage](https://botpress.com): High-level introduction to the Botpress platform, outlining how AI agents can be built, deployed, and scaled.\ - [AI Agent Studio](https://www.botpress.com/features/ai-agent-studio): Visual builder for workflows, prompts, and agent logic.\ - [Autonomous](https://www.botpress.com/features/autonomous): Agent decisioning and tool-use for multi-step tasks and outcomes.\ - [Knowledge Bases](https://www.botpress.com/features/knowledge-bases): Retrieval-augmented generation using embeddings and managed sources.\ - [Human Handoff](https://www.botpress.com/features/human-handoff): Escalate to human agents with full conversation context and controls.\ - [Tables](https://www.botpress.com/features/tables): Built-in structured storage for agent state and operational data.\ - [Pricing](https://botpress.com/pricing): Overview of the available plans, including free and paid tiers, designed for different levels of scale and usage.\ - [Blog](https://botpress.com/blog): In-depth writing on AI agents, LLM orchestration, retrieval-augmented generatio