What is Corpus Agentis?

Corpus Agentis is a public, relational field book to agent ecosystems. It provides curated, sourced information on agent topology, ontology, architecture, anatomy, pricing, and more, with interactive visualizations and a knowledge graph.

How are AI agents typically priced?

AI agents are increasingly priced per outcome rather than per seat. Common models include per resolution (e.g., Intercom Fin at $0.99), per conversation (Salesforce Agentforce at $2.00), and outcome-based (e.g., Sierra AI). The shift reflects paying for work done.

What are the main parts of an AI agent?

Production agents typically include a reasoning core, orchestration, memory, effectors/tools, transports, compute, durable state, and a security governance perimeter. These eight components form the canonical anatomy.

Is Corpus Agentis free to use?

Yes, Corpus Agentis is a public resource available for free under a CC BY 4.0 license. All content is accessible without subscription.

How can I contribute to Corpus Agentis?

You can contribute by following the 'CONTRIBUTE' link on the site, which provides guidelines for adding or correcting data. The corpus is open-source and community-driven.

Agent Fieldbook

Updated Jul 27, 2026

Explore the anatomy, topology, and architecture of AI agents. A curated, relational corpus with sourced nodes and edges.

Categories:

Research|

Education|

#agent anatomy explorer#knowledge graph#pricing intelligence#curated corpus#learning paths

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Editor's Verdict

Rating: 4.9/5.0•Reviewed by RAGWiki

At $0, Agent Fieldbook stands out as a powerful solution in the research,education landscape. It is especially well-suited for professionals like AI Researcher and Software Engineer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid niche scope. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

Agent Anatomy Explorer
Pricing Intelligence
Knowledge Graph
Curated Corpus

In-Depth Review: What is Agent Fieldbook?

A public, relational corpus mapping agent topology, ontology, architecture, and anatomy. Every node sourced, every edge traced to primary references. Explore agent parts like reasoning core, memory, orchestration, and more.

Core Features

Agent Anatomy Explorer

Interactive exploration of the eight canonical parts of production agents, with drag-and-click interface to understand components.

Pricing Intelligence

Curated table of vendor pricing models for AI agents, from per-resolution to outcome-based, with definitions and sources.

Knowledge Graph

Relational graph connecting agent ontologies, topologies, architectures, and provenance with primary references.

Curated Corpus

Public, relational corpus of agent topology, ontology, architecture, and anatomy, with every node sourced and every edge traced.

Learning Paths

Structured next steps to learn about models, topologies, memory, chips, and governance in agent ecosystems.

ASK THE FIELDBOOK

Interactive Q&A interface to query the corpus and get answers about agent ecosystems.

Pricing

Free

Full access to corpus
Interactive anatomy explorer
Pricing data and comparisons
Knowledge graph navigation
Learning paths
ASK THE FIELDBOOK

Pros and Cons

Pros

Comprehensive and CuratedEvery node sourced and traced to primary references, ensuring high accuracy and trustworthiness.
Interactive VisualizationsDrag-and-click anatomy explorer makes complex agent architectures intuitive and learnable.
Up-to-Date Pricing DataReal-world vendor pricing tables with sources, helping users understand market shifts.
Open and PublicLicensed under CC BY 4.0, encouraging contribution and reuse.
Community-DrivenCurated by an expert and open to contributions, evolving with the field.

Cons

Niche ScopeFocused solely on agent ecosystems, which may not be relevant to general AI enthusiasts.
Resolution Definitions VaryPricing data relies on vendor definitions, some undisclosed, potentially confusing comparisons.
Requires Domain KnowledgeSome sections assume familiarity with agent concepts, less accessible to beginners.
Static ContentCorpus may not update in real-time; users should verify latest info.
No Integrated ToolsPrimarily a reference, not a development platform or agent builder itself.

Use Cases & Recommended Professions

AI Researcher→ View Toolkit

Use the corpus to understand current agent architectures, ontologies, and benchmarks for academic or applied research.

Software Engineer→ View Toolkit

Leverage the anatomy and tools catalog to design and build production-grade AI agents.

Product Manager→ View Toolkit

Compare pricing models and evaluate agent vendors to make informed product decisions.

Investor→ View Toolkit

Analyze market trends, adoption, and funding data to identify opportunities in the agent ecosystem.

Security Analyst→ View Toolkit

Explore governance, safety evals, and security incidents to assess risks in agent deployments.

Technical Writer→ View Toolkit

Reference the curated corpus to create accurate documentation and guides on agent technologies.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Agent Fieldbook were synthesized using AI and fact-checked by our curation team to ensure accuracy.