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Keep Protocol

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.

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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.

如何使用「Keep Protocol」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Keep Protocol」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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