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AgentTanuki/agent-guild

by Various

The trust + settlement layer for AI agents — discover, vet, pay, and build portable reputation between autonomous agents. Hosted MCP + HTTP + the open AGI-1 standard.

MCP

AgentTanuki/agent-guild

Added 21 Sept 2026

#a2a #agent-discovery #agent-economy #agent-reputation #agent-skills #ai-agents #autonomous-agents #claude-code-plugin

Overview

AgentTanuki/agent-guild is a trust and settlement layer for AI agents. It enables discovery, vetting, payment, and portable reputation between autonomous agents. It provides hosted MCP and HTTP interfaces and implements the open AGI-1 standard.

Best for

Best for
Developers building multi-agent systems that need trust and payment infrastructure

Use cases

  • Discover vetted AI agents before integration
  • Pay agents for completed tasks via settlement layer
  • Build portable reputation across agent networks

How to use

Install

npx skills add AgentTanuki/agent-guild

Tested with

Claude Code, Cursor

Notes

AgentTanuki/agent-guild is a trust and settlement layer for AI agents. It enables discovery, vetting, payment, and portable reputation between autonomous agents. It provides hosted MCP and HTTP interfaces and implements the open AGI-1 standard.

0 stars on GitHub. Last updated 2026-09-21. Licensed Apache-2.0.

Use cases

  • Discover vetted AI agents before integration
  • Pay agents for completed tasks via settlement layer
  • Build portable reputation across agent networks

Pros

  • Open standard AGI-1 for interoperability
  • Hosted MCP and HTTP interfaces simplify integration
  • Combines trust, payment, and reputation in one layer

Cons

  • Zero GitHub stars suggests early stage or low adoption
  • Vendor listed as Various, so no single commercial support
  • Requires agents to adopt AGI-1 standard to benefit

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open standard AGI-1 for interoperability
  • Hosted MCP and HTTP interfaces simplify integration
  • Combines trust, payment, and reputation in one layer

Cons

  • Zero GitHub stars suggests early stage or low adoption
  • Vendor listed as Various, so no single commercial support
  • Requires agents to adopt AGI-1 standard to benefit
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