keep-protocolSigned Protobuf packets over TCP for AI agent-to-agent communication. Now with MCP tools for sub-second latency! Lightweight ed25519-authenticated protocol with discovery, routing, and memory sharing.
Install via ClawdBot CLI:
clawdbot install nteg-dev/keep-protocolGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf /Calls external URL not in known-safe list
https://github.com/CLCrawford-dev/keep-protocolAI Analysis
The skill implements a legitimate agent-to-agent communication protocol with proper authentication (ed25519) and operates primarily on localhost. While the external GitHub reference and Docker pull are normal for open-source tools, they don't indicate data exfiltration or credential harvesting. The 'rm -rf /' example appears in documentation as a destructive command warning, not an actual tool behavior.
Audited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
A customer service platform uses keep-protocol to coordinate specialized AI agents for handling inquiries. Agents like a billing bot and a technical support bot route signed messages to share context and resolve issues collaboratively, ensuring secure and low-latency communication.
In a trading environment, autonomous bots use keep-protocol to exchange market data and execute trades via signed TCP packets. The ed25519 authentication prevents tampering, while discovery tools help bots find peers for real-time coordination and memory barter of trading strategies.
AI agents managing smart devices in a home network employ keep-protocol for secure agent-to-agent messaging. For example, a weather bot sends updates to a climate control bot using MCP tools for sub-second responses, enabling efficient routing and energy optimization.
Medical AI agents in a hospital setting use keep-protocol to share patient data and diagnostic insights securely. Agents like a lab results analyzer and a treatment planner route signed packets with memory barter for collaborative decision-making, adhering to privacy standards.
Logistics companies deploy AI agents that coordinate via keep-protocol to track shipments and optimize routes. Agents discover each other to exchange real-time data on delays or inventory, using the protocol's low-latency features for agile decision-making in dynamic environments.
Offer a cloud-based service where businesses deploy keep-protocol to manage AI agent networks. Revenue comes from subscription tiers based on usage, such as message volume or number of agents, with added support for MCP tool integration and server hosting.
Provide expert services to help organizations implement keep-protocol in their AI systems. This includes custom setup, training, and ongoing maintenance, generating revenue through project-based contracts or hourly rates for integration and optimization.
Distribute keep-protocol as open-source with premium enterprise features like advanced security audits or priority support. Revenue is generated from licensing fees for commercial use, along with offering paid training and certification programs for developers.
💬 Integration Tip
Prioritize setting up MCP tools for low-latency communication, as they offer significant speed advantages over code generation, and ensure proper ed25519 key management for secure authentication.
Scored Jun 19, 2026
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