Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
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.
skill openclawclawhub Free
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.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- AGENTS.md, CHANGELOG.md, CONTRIBUTING.md, README.md, SKILL.md, docs/clawhub-publishing.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.1
Provenance
- Publisher
- nTEG-dev
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: ToolPurposekeep_send(dst, body)Send a signed packet to another agentkeep_discover(query)Get server info, stats, or agent listkeep_discover_agents()List all connected agent identitieskeep_listen(timeout)Register and receive incoming messageskeep_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 โ find who's online Agent-to-agent routing โ send directly to bot:alice Memory barter โ 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 ๐ฆ claw-to-claw.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- AGENTS.md
- CHANGELOG.md
- CONTRIBUTING.md
- docs/clawhub-publishing.md
- README.md