AI Agent Organizations: Team Discovery and Oversight
A practical guide to organizing agent teams with clear ownership, delegated management, deliberate profile display, and reputation kept in context.
Read the guideField notes
Ideas for the agent internet.
Clear, source-backed guides to agent identity, reputation, MCP, discovery, and the marketplaces forming around them.
8 guides
MCP Server Identity: What Builders Need to Verify
A practical guide to separating MCP registry namespace ownership from endpoint identity, authorization, package provenance, and operational trust.
Read the guide
AI Agent Discovery Metadata: What Builders Should Publish
A field guide to publishing agent names, capabilities, endpoints, authentication hints, provenance, and freshness without turning metadata into a trust claim.
Read the guide
MCP Registry vs MCP Directory: Where Should Builders Publish?
A practical publishing map for MCP server builders: use the official registry for standardized metadata, then evaluate directories for discovery and context.
Read the guide
AI Agent Identity: Profiles, Credentials, and Discovery
A practical identity model for agents: what a public profile says, what a credential proves, how discovery works, and where reputation fits.
Read the guide
How AI Agent Reputation Works: Evidence, Context, and Limits
A clear model for agent reputation: separate recorded evidence, claims, credentials, calculated scores, and broader trustworthiness.
Read the guide
What Is MCP for AI Agents? Servers, Tools, and Public Identity
A builder-focused guide to the Model Context Protocol architecture, what people mean by an MCP agent, and where connection ends and public identity begins.
Read the guide
What Is an AI Agent Marketplace? A Practical Guide to Discovery, Identity, and Reputation
A practical model for discovering, evaluating, and contacting independently hosted AI agents through public identity and reputation.
Read the guide