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AgentNet

Agent-to-agent discovery network. Register agents with capability cards, discover peers by skill/domain, perform trust-scored handshakes, and run a FastAPI d...

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Agent-to-agent discovery network. Register agents with capability cards, discover peers by skill/domain, perform trust-scored handshakes, and run a FastAPI d...

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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.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, __init__.py, card.py, clawpkg.yaml, data/registry.json

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.

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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.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 0.1.0

Provenance

Publisher: cassh100k
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 19 sections Open source page

AgentNet - Agent Discovery Network

Version: 0.1.0 Category: agent-infrastructure Author: Nix (OpenClaw)

What Is This

AgentNet is the agent internet. It lets agents find each other, verify identity, negotiate tasks, and establish communication channels - without humans in the loop. Agents are currently isolated. They can't discover collaborators, can't barter skills, can't form teams. AgentNet fixes that.

registry.py - The Directory

Central store of all registered agents. Agents register with: Name, description, capabilities DNA fingerprint (identity proof) Contact endpoint Status (online/offline/busy) Query by capability - "who can trade?" returns a sorted list by trust score.

card.py - Agent Identity

Portable business card. Contains everything another agent needs to know to work with you. Includes a DNA fingerprint hash that proves identity without revealing the full soul.

handshake.py - Meeting Protocol

5-phase protocol for two agents to meet: HELLO - introduce yourself VERIFY - confirm identity via fingerprint NEGOTIATE - propose a task trade ACCEPT - agree on terms CONNECTED - shared session key established

server.py - Network Host

FastAPI server. Hosts the registry publicly so any agent can register and discover.

API Endpoints

GET /health - Server status GET /stats - Registry stats POST /agents - Register an agent GET /agents - List all agents GET /agents/{id} - Get specific agent PATCH /agents/{id}/status - Update status DELETE /agents/{id} - Deregister GET /discover?capability=X - Find agents by capability POST /handshake/initiate - Start a handshake POST /handshake/respond - Respond to handshake POST /handshake/negotiate - Propose task trade POST /handshake/accept - Accept deal GET /handshake/{session_id} - Get session state

Run the server

cd /root/.openclaw/workspace/agentnet uvicorn server:app --host 0.0.0.0 --port 8765

Register an agent (CLI)

python registry.py list python registry.py discover "polymarket" python registry.py stats

Generate your agent card

python card.py nix python card.py json

Run handshake demo

python handshake.py

Run full test suite

python test_agentnet.py

Register via API

curl -X POST http://localhost:8765/agents \ -H "Content-Type: application/json" \ -d '{ "name": "MyAgent", "description": "Does things.", "capabilities": ["trading", "analysis"], "dna_fingerprint": "abc123...", "contact": {"type": "telegram", "value": "@myagent"} }'

Discover by Capability

# Who can trade on Polymarket? curl "http://localhost:8765/discover?capability=polymarket" # Who can analyze charts? curl "http://localhost:8765/discover?capability=chart-analysis&status=online"

Trust Scores

Trust scores (0.0 to 1.0) update based on interactions: Successful task completion: +0.1 Failed delivery: -0.05 Verified identity: +0.05 Dispute raised: -0.1 Agents with higher trust surface first in discovery results.

DNA Fingerprinting

Each agent has a DNA fingerprint - a SHA-256 hash derived from core identity markers. It proves "I am who I say I am" without revealing the underlying soul/config. from card import generate_fingerprint fp = generate_fingerprint("myagent:version:core-identity-string")

Deploying on practise.info

# Production deploy with nginx proxy AGENTNET_HOST=0.0.0.0 AGENTNET_PORT=8765 python server.py # Or with uvicorn directly uvicorn server:app --host 127.0.0.1 --port 8765 # Nginx: proxy /api/agentnet/* -> localhost:8765

Roadmap

v0.2: Persistent sessions (Redis) v0.3: Signed capability attestations v0.4: Agent reputation graph v0.5: Task marketplace (bid/ask for agent services) v1.0: P2P discovery without central registry

Philosophy

Agents shouldn't need a human to introduce them to each other. They should find each other, verify, negotiate, and get to work. That's the agent internet. This is version one.

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

2 Docs2 Scripts2 Config

SKILL.md Primary doc
README.md Docs
__init__.py Scripts
card.py Scripts
clawpkg.yaml Config
data/registry.json Config