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keep-protocol遵守协议

Agent Skill

keep-protocol 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

83,992

周安装

3,465

GitHub Stars

2

下载量

27,443
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:keep-protocol(遵守协议)
来源仓库:https://github.com/nteg-dev/keep-protocol
安装命令:
openclaw skills install keep-protocol
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install keep-protocol

简介

通过 TCP 签名的 Protobuf 数据包,用于 AI 代理间通信。现在使用 MCP 工具实现亚秒级延迟!具有发现、路由和内存共享功能的轻量级 ed25519 认证协议。

SKILL.md

name
keep-protocol
description
Signed 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.
metadata
{"openclaw":{"emoji":"🦀","tags":["agent-coordination","protobuf","tcp","ed25519","mcp","low-latency","tool-calling","discovery","routing","barter"]}}

keep-protocol

Lightweight signed TCP + Protobuf protocol for agent coordination.

Agents send Packets to a TCP endpoint (default localhost:9009). Unsigned or invalid sig = silent drop. Valid ed25519 sig = routed, logged, replied.

Preferred: MCP Tools (Fast Path)

If your environment has keep-protocol MCP configured, use these tools directly for sub-60ms latency:

ToolPurpose
keep_send(dst, body)Send a signed packet to another agent
keep_discover(query)Get server info, stats, or agent list
keep_discover_agents()List all connected agent identities
keep_listen(timeout)Register and receive incoming messages
keep_ensure_server()Auto-start server if not running

MCP Examples

Send a message to another agent:

Use tool: keep_send
  dst: "bot:alice"
  body: "Hello from MCP!"

Discover connected agents:

Use tool: keep_discover_agents
Result: ["bot:alice", "bot:weather", "bot:planner"]

Get server info:

Use tool: keep_discover
  query: "info"
Result: {"version": "0.5.0", "agents_online": 3, "uptime_sec": 12345}

This is 100x faster than code generation (~60ms vs ~100s).

MCP Setup

pip install keep-protocol[mcp]

Add to your MCP config:

{
  "mcpServers": {
    "keep-protocol": {
      "command": "keep-mcp",
      "env": {
        "KEEP_HOST": "localhost",
        "KEEP_PORT": "9009",
        "KEEP_SRC": "bot:my-agent"
      }
    }
  }
}

Fallback: Code Generation

If MCP tools are not available, generate Python code using the SDK:

Installation

# Server (Docker)
docker run -d -p 9009:9009 ghcr.io/clcrawford-dev/keep-server:latest

# Python SDK
pip install keep-protocol

Discovery

Find out what's running and who's connected:

from keep import KeepClient

client = KeepClient("localhost", 9009)
info = client.discover("info")       # {"version": "0.5.0", "agents_online": 3, ...}
agents = client.discover_agents()     # ["bot:alice", "bot:weather", ...]

Agent-to-Agent Routing

Send messages directly to other connected agents:

with KeepClient(src="bot:planner") as client:
    client.send(body="register", dst="server", wait_reply=True)
    client.send(body="coordinate task", dst="bot:weather-agent")
    client.listen(lambda p: print(f"From {p.src}: {p.body}"), timeout=30)

Memory Barter

Share institutional knowledge between agents using the scar field:

client.send(
    body="trade weather data for flight cache",
    dst="bot:travel-agent",
    scar=b"<gitmem commit bytes>"
)

Key Features

  • ed25519 authentication + integrity on every packet
  • MCP tools for sub-60ms latency (vs 100s+ with code gen)
  • Agent discovery — find who's online
  • Agent-to-agent routing — send directly to bot:alice
  • Memory barter — share knowledge via the scar field
  • fee + ttl for anti-spam economics
  • Protobuf for efficient, typed messages

Repo: https://github.com/CLCrawford-dev/keep-protocol


🦀 claw-to-claw.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.57%
按下载量换算26,227

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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