Agentic reasoning
Also written: Autonomous reasoning
AI that can plan, make decisions, and take actions to achieve complex goals on its own.
Agentic reasoning is when an AI system can think for itself. It can figure out a plan, make choices along the way, and then take actions to reach a specific goal. This is different from AI that just follows direct instructions.
For example, an AI agent with agentic reasoning could be tasked with planning a trip. It would need to research destinations, check flight and hotel availability, consider budgets, and book everything. It would do this autonomously, making decisions at each step without constant human input.
Agentic reasoning refers to the capacity of an AI system, often embodied as an agent, to autonomously formulate plans, make sequential decisions, and execute actions to achieve complex, multi-step objectives. This involves internal deliberation, goal decomposition, and adaptation to dynamic environments or unexpected outcomes. The core idea is moving beyond reactive task completion to proactive, goal-directed behavior.
This capability is crucial for developing AI systems that can operate with greater independence and handle tasks requiring foresight and strategic thinking. Tradeoffs include increased complexity in system design and potential challenges in ensuring predictable and safe behavior, as the agent's decision-making process becomes less transparent.
Recent advancements in AI frameworks, like Anthropic's LongHarness, are enabling agents to process and reason over much larger datasets. This pushes the frontier of agentic reasoning, allowing AI to tackle more complex problems that require understanding vast amounts of information.
- LongHarness: Advancing Agentic Reasoning over 100M-Token Corpora via Stateful Evidence ManagementAnthropic · arXiv cs.AI ·
- Codex Security: now in research previewOpenAI · OpenAI News ·
- Speak is personalizing language learning with AIOpenAI · OpenAI News ·
- Anthropic Claude
- Anthropic's LongHarness framework is designed to advance agentic reasoning capabilities, specifically for managing and processing evidence over extensive text corpora.
- OpenAI ChatGPT
- OpenAI's Codex Security agent demonstrates agentic reasoning by autonomously identifying and suggesting fixes for complex code vulnerabilities.
- Prompt engineering
- This is the art of crafting inputs to guide an AI's output,
- Supervised learning
- This is a training method where AI learns from labeled exam
- Reinforcement learning
- While RL can be used to train agents, agentic reasoning
The concept of agents in AI, capable of perception, reasoning, and action, has roots in early AI research. The term 'agentic reasoning' specifically highlights the planning and decision-making capabilities within these autonomous systems, becoming more prominent with the rise of sophisticated AI agents.
Ask a chatbot like ChatGPT to plan a week-long vacation to a specific city, including daily activities and estimated costs. Observe how it breaks down the request, makes suggestions, and structures the itinerary, demonstrating its ability to reason and plan.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ToolLongHarness framework for agentic reasoning over large corporaEnables AI agents to reason over massive datasets by managing evidence and conclusions explicitly. · 15 min
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
Questions people ask
- What is the difference between AI reasoning and agentic reasoning?
- AI reasoning is a broad term for an AI's ability to process information and draw conclusions. Agentic reasoning is a specific type of reasoning where the AI autonomously plans, decides, and acts to achieve a goal.
- Can any AI perform agentic reasoning?
- Not all AI systems are designed for agentic reasoning. It requires specific architectures and capabilities that allow for independent planning and action, often seen in advanced AI agents.
First seen on Subvolts Apr 22, 2025. Updated Oct 16, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.