Entries
80
AI lexicon entries currently assigned to this category.
AI Topic Category
Agentic AI and Autonomy Terms and Concepts
This page maps the Agentic AI and Autonomy portion of the Lexicon Labs AI encyclopedia. It brings together the main concepts in this category, the tracks that organize them, and the related books and guides that make the topic easier to study.
At A Glance
Tracks
2
Taxonomy tracks that sit inside this category.
Top Entry Types
concept, application
The most common entry types appearing in this topic cluster.
Overview
Agentic AI and Autonomy is one of the active taxonomy categories in the Lexicon Labs AI encyclopedia. The current dataset includes 80 entries in this area, which makes it large enough to function as a real discovery surface rather than a placeholder page.
Use the sample entries as a fast orientation layer, then move into the AI encyclopedia preview or the related paperbacks and bundles if you want a longer learning path.
Related Tracks and Breakdowns
Agent Frameworks and Orchestration
Track in Agentic AI and Autonomy.
Protocols, Memory and Tool Use
Track in Agentic AI and Autonomy.
Sample Entries
OpenClaw
OpenClaw is an open-source framework designed to empower AI agents with enhanced autonomy and tool interaction capabilities. It enables agents to perceive environments, plan actions, and execute complex tasks by leveraging various tools and data.
ClawDBot
ClawDBot is an advanced agentic AI framework designed for building, deploying, and orchestrating autonomous AI agents. It enables complex multi-agent workflows, facilitating sophisticated task decomposition and collaborative problem-solving across diverse data sources and operational environments.
CrewAI Flows
CrewAI Flows define the structured sequence and collaborative interactions between multiple AI agents within the CrewAI framework. They enable complex task execution by orchestrating specialized agents to work together towards a common goal.
LangGraph Studio
LangGraph Studio is a visual platform for designing, testing, and deploying stateful AI agent workflows. It enables users to orchestrate multi-actor applications powered by large language models using the LangGraph framework.
AutoGen Studio
AutoGen Studio is a user interface that simplifies the creation, customization, and experimentation of multi-agent AI systems built with the AutoGen framework. It provides a visual environment for designing agent workflows and testing their interactions.
Semantic Kernel Planner
The Semantic Kernel Planner is a component within Microsoft's Semantic Kernel framework that intelligently orchestrates a sequence of AI functions and native code to achieve complex goals, acting as an autonomous agent to break down.
OpenAI Responses API
The OpenAI Responses API is a programmatic interface allowing developers to send prompts to OpenAI's language models and receive generated text, code, or other outputs. It's fundamental for building AI-powered applications.
Assistants API v2
The Assistants API v2 is an OpenAI framework for building sophisticated AI assistants. It provides tools for managing conversational threads, integrating custom functions, and utilizing code interpreters for complex, agentic tasks.
AgentOps
AgentOps is an application for managing the lifecycle of AI agents, providing tools for monitoring, evaluation, and orchestration to ensure reliable and efficient agent performance in complex systems.
AgentEval
AgentEval is an application framework designed to systematically evaluate the performance, reliability, and robustness of AI agents. It assesses how well agents complete tasks and interact in complex, dynamic environments.
TaskWeaver
TaskWeaver is an open-source framework designed to empower large language models (LLMs) to act as autonomous agents. It orchestrates various tools and plugins, enabling LLMs to efficiently accomplish complex tasks by planning and executing steps.
Dify Workflow
Dify Workflow is a visual tool within the Dify platform for designing and orchestrating complex, multi-step AI applications. It chains together LLM calls, tools, and conditional logic to build autonomous agents and sophisticated AI processes.
Related Guides
AI Hub
AI Learning Resources for Students, Parents, and Curious Readers
This hub connects the main AI learning surfaces on Lexicon Labs into one path: the encyclopedia preview, student-friendly books, themed bundles, and the tools that help readers turn concepts into working understanding.
Open GuidePaperback Hub
AI Books for Kids, Pre-Teens, and Teens
This page groups together Lexicon Labs paperback titles that help younger readers understand artificial intelligence, computation, and the people behind modern computing.
Open GuideUseful Tools
Lecture Lingo
Turn messy notes into study-ready flashcards and CSV exports for spaced repetition apps.
Open ToolInsta-Diagram
Transform notes into visual diagrams and export them for sharing or studying.
Open ToolCitation Machine
Create citations for papers fast with APA/MLA formatting and copy-ready output.
Open ToolReadability X-Ray
Analyze clarity in essays, emails, and articles with readability scores and instant issue flags.
Open ToolRelated Paperbacks
AI for Smart Kids
A clear and engaging guide to artificial intelligence for younger readers who are curious about how smart systems work.
View Paperback
AI for Smart Pre-Teens and Teens
A student-friendly intro to AI concepts, real-world use cases, and practical skills for the next generation.
View Paperback
Alan Turing
A biography of Alan Turing, the trailblazing mathematician and codebreaker whose ideas shaped modern computing and artificial intelligence.
View PaperbackRelated Bundles
Artificial Intelligence Bundle
Books that explain artificial intelligence clearly for young and curious readers.
View Bundle
Coding Fundamentals Bundle
A practical introduction to coding concepts for young learners and beginners.
View Bundle