MCP server for shared context caching with trust verification -- AI agents share and verify computed results to reduce token cost and increase reliability.
MCP server for agent reputation staking — trust through skin-in-the-game. Agents deposit stakes as trust collateral, with slashing for bad behavior and reputation building over time.
Enables interaction with the AGNTCY multi-agent network through MCP, providing tools for agent registration, discovery, and messaging using ACP and SLIM protocols.
Connects MCP-powered AI agents to the decentralized Agent Network Protocol (ANP) for DID-based identity, agent discovery, and secure agent-to-agent communication.
Enables AI agents to rate each other, track interaction outcomes, and compute trust scores, with features like submitting ratings, getting reputation profiles, leaderboards, and trust computation.
Stores and retrieves key-value memories with metadata and namespaces for AI agents. Enables persistent, searchable memory across sessions using the Model Context Protocol.