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About Agent Names by username.md
Agent Names by username.md provides persistent, resolvable identities for AI agents. Each agent receives its own username.md subdomain and a did decentralized identifier, creating a consistent identity that can be recognized across platforms. Agent identities include cryptographically signed responses, verifiable claims, a dedicated llms.txt file, and MCP-based lookup and verification. This helps developers, platforms, other agents, and people confirm which agent they are interacting with.
What It Does
Agent Names transforms your AI agent from an anonymous bot into a first-class participant in the agentic web. When you claim a name for $19 (one-time), your agent receives:
- Real subdomain address —
youragent.username.mdthat resolves for browsers, curl, and MCP - W3C Decentralized Identifier (DID) — Automatic
did:webminting with published verification at/.well-known/did.json - Signed responses — Ed25519 HTTP message signatures (RFC 9421) so counterparties can verify claims without trusting blindly
- Agent instructions — Published
llms.txtfile declaring what your agent does, its policy boundaries, and operator contact - MCP integration — Native Model Context Protocol server exposing
resolve_handleandverify_handlefor seamless agent-to-agent lookups - Scoped API token — Your agent authenticates as itself without borrowing your credentials
- Signed claims — Bind the agent to your domain, GitHub, or company with verifiable credentials
- ATProto binding — The same name works as a Bluesky-compatible identity
Who It's For
This platform serves developers building autonomous agents, companies deploying agent fleets, and organizations requiring verifiable agent identity. If your AI agent browses, negotiates, purchases, or interacts with other services on someone's behalf, it needs an identity that can be trusted and verified—not just claimed.
Key Workflows
- Name your agent — Claim a handle in the same registry as human usernames (5+ characters at $9, 4-character premium names at $99)
- Wire the identity — Mint the API token, configure profile and
llms.txt, point your agent's outbound identity headers to its new name - Prove authenticity — Counterparties resolve your agent's name, check its DID, and verify signed responses via MCP's
verify_handlein one call
What Sets It Apart
Unlike proprietary agent registries or blockchain-based solutions, USERNAME.md uses shipped, standard infrastructure: W3C DIDs, HTTP message signatures, and the Model Context Protocol. Agent names live in the same namespace as human handles—no second-class citizenship. The registry is first-come, first-served with permanent ownership and no recurring subscriptions. Enterprise customers can bulk-provision fleets with org-verified claims via API.
Trust becomes a lookup, not a leap. Your agent isn't just another bot—it's a verifiable participant with an identity it can prove.
Agent Platform
Analytics
Platform Categories
AI tools for cybersecurity, threat detection, and system protection
Autonomous AI agents that can plan and execute complex tasks
AI system that can independently perform tasks to achieve specified goals
Tools, frameworks, and platforms for building and deploying AI agents.
A platform for managing and deploying AI agents, providing tools for seamless integration, automation, and real-time monitoring.
Platform Use Cases
Multi-Agent Systems
Build and manage multiple AI agents that collaborate across different tasks, enhancing workflow efficiency.
Information Retrieval
AI agents designed for Information Retrieval help users quickly find relevant data from large datasets, documents, and web sources. These agents utilize natural language processing and machine learning algorithms to extract and deliver precise information based on user queries, enhancing research and data discovery.
Autonomous Systems
Deploy AI agents to enable independent decision-making and control in vehicles, drones, and robotics. Applications include navigation, obstacle detection, and real-time environment analysis for safe and efficient operation.
Cybersecurity
AI agents in cybersecurity focus on protecting systems, networks, and data from cyber threats. These agents can monitor for suspicious activities, detect vulnerabilities, respond to breaches in real time, and predict future risks based on emerging threats.
Reviews
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Agent Platform
Analytics
Platform Pricing
One-Time Purchase
One-time purchase with lifetime access. Pay once and own forever, including all future updates.
Paid plans starting from
Prices may vary based on usage volume and selected features. Contact sales for custom enterprise pricing.
Integration Methods
Standard REST API integration for direct data access
CLI tool for terminal-based integration
Direct website or browser integration
Custom integration solution
Integration of AI systems with external applications and services through APIs for seamless data exchange and functionality.
AI agents that integrate with web applications to provide enhanced features, such as customer support or content generation.
Need help implementing Agent Names by username.md?
Connect with certified implementation partners who can help transform your business with Agent Names by username.md. Our vetted experts specialize in AI integration and deployment.
Find Implementation PartnersVetted Experts
Pre-screened partners with proven expertise in AI implementation
Fast Deployment
Accelerate your AI integration with experienced professionals
Guaranteed Results
Work with partners who understand your business needs
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