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Agentmesh

AgentMesh SKILL.md

cerbug450 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install cerbug45/agentmesh

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

AgentMesh SKILL.md

WhatsApp-style end-to-end encrypted messaging for AI agents. GitHub: https://github.com/cerbug45/AgentMesh | Author: cerbug45


What Is AgentMesh?

AgentMesh gives every AI agent a cryptographic identity and lets agents exchange messages that are:

Property Mechanism
Encrypted AES-256-GCM authenticated encryption
Authenticated Ed25519 digital signatures (per message)
Forward-secret X25519 ECDH ephemeral session keys
Tamper-proof AEAD authentication tag
Replay-proof Nonce + counter deduplication
Private The Hub (broker) never sees message contents

No TLS certificates. No servers required for local use. One pip install.


Installation

Requirements
  • Python 3.10 or newer
  • pip
Option 1 – Install from GitHub (recommended)
pip install git+https://github.com/cerbug45/AgentMesh.git
Option 2 – Clone and install locally
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install .
Option 3 – Development install (editable, with tests)
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install -e ".[dev]"
pytest           # run all tests
Verify installation
python -c "import agentmesh; print(agentmesh.__version__)"
# → 1.0.0

Quick Start (5 minutes)

from agentmesh import Agent, LocalHub

hub   = LocalHub()                  # in-process broker
alice = Agent("alice", hub=hub)     # keys generated automatically
bob   = Agent("bob",   hub=hub)

@bob.on_message
def handle(msg):
    print(f"[{msg.recipient}] ← {msg.sender}: {msg.text}")

alice.send("bob", text="Hello, Bob! This is end-to-end encrypted.")

Output:

[bob] ← alice: Hello, Bob! This is end-to-end encrypted.

Core Concepts

Agent

An Agent is an AI agent with a cryptographic identity (two key pairs):

  • Ed25519 identity key –...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/cerbug45/agentmesh
Version
—
Commit
f358cca3f4bfa4b375f502e942378bd4893eae8f
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

🔐 AgentMesh

WhatsApp-style encrypted messaging for AI agents.

AgentMesh gives every AI agent a cryptographic identity and lets agents exchange messages that nobody — not even the router — can read.

Alice ──(AES-256-GCM + Ed25519)──► Hub ──(AES-256-GCM)──► Bob

Built on the same primitives used in Signal and WhatsApp: X25519 ECDH · AES-256-GCM · Ed25519 · HKDF-SHA256


✨ Features

  • 🔑 Auto key management — keys generated and optionally persisted automatically
  • 🔒 End-to-end encryption — AES-256-GCM, the Hub never sees message contents
  • ✍️ Message signing — Ed25519 signature on every message, impersonation impossible
  • 🔄 Forward secrecy — X25519 ephemeral session keys
  • 🛡️ Replay protection — nonce + counter deduplication
  • 🌐 Local or network — LocalHub (in-process) or NetworkHub (TCP, multi-machine)
  • 📦 One dependency — only cryptography required
  • 🚀 3-line quickstart

📦 Installation

pip install git+https://github.com/cerbug45/AgentMesh.git

Or clone:

git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install .

🚀 Quick Start

from agentmesh import Agent, LocalHub

hub   = LocalHub()
alice = Agent("alice", hub=hub)
bob   = Agent("bob",   hub=hub)

@bob.on_message
def handle(msg):
    print(f"[{msg.recipient}] ← {msg.sender}: {msg.text}")

alice.send("bob", text="Hello! This is end-to-end encrypted 🔐")
[bob] ← alice: Hello! This is end-to-end encrypted 🔐

🌐 Network Mode

Start the hub server:

python -m agentmesh.hub_server --host 0.0.0.0 --port 7700

Agents on any machine:

from agentmesh import Agent, NetworkHub

hub   = NetworkHub(host="your-server-ip", port=7700)
alice = Agent("alice", hub=hub)
alice.send("bob", text="Cross-machine encrypted message!")

📁 Project Structure

AgentMesh/
├── agentmesh/
│   ├── __init__.py       ← Public API
│   ├── agent.py...

Contenu extrait

SKILL.md
# AgentMesh SKILL.md

> **WhatsApp-style end-to-end encrypted messaging for AI agents.**
> GitHub: https://github.com/cerbug45/AgentMesh | Author: cerbug45

---

## What Is AgentMesh?

AgentMesh gives every AI agent a **cryptographic identity** and lets agents
exchange messages that are:

| Property | Mechanism |
|---|---|
| **Encrypted** | AES-256-GCM authenticated encryption |
| **Authenticated** | Ed25519 digital signatures (per message) |
| **Forward-secret** | X25519 ECDH ephemeral session keys |
| **Tamper-proof** | AEAD authentication tag |
| **Replay-proof** | Nonce + counter deduplication |
| **Private** | The Hub (broker) never sees message contents |

No TLS certificates. No servers required for local use. One `pip install`.

---

## Installation

### Requirements

- Python **3.10 or newer**
- `pip`

### Option 1 – Install from GitHub (recommended)

```bash
pip install git+https://github.com/cerbug45/AgentMesh.git
```

### Option 2 – Clone and install locally

```bash
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install .
```

### Option 3 – Development install (editable, with tests)

```bash
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install -e ".[dev]"
pytest           # run all tests
```

### Verify installation

```python
python -c "import agentmesh; print(agentmesh.__version__)"
# → 1.0.0
```

---

## Quick Start (5 minutes)

```python
from agentmesh import Agent, LocalHub

hub   = LocalHub()                  # in-process broker
alice = Agent("alice", hub=hub)     # keys generated automatically
bob   = Agent("bob",   hub=hub)

@bob.on_message
def handle(msg):
    print(f"[{msg.recipient}] ← {msg.sender}: {msg.text}")

alice.send("bob", text="Hello, Bob! This is end-to-end encrypted.")
```

Output:
```
[bob] ← alice: Hello, Bob! This is end-to-end encrypted.
```

---

## Core Concepts

### Agent

An `Agent` is an AI agent with a **cryptographic identity** (two key pairs):

- **Ed25519 identity key** –...
README
# 🔐 AgentMesh

> **WhatsApp-style encrypted messaging for AI agents.**

AgentMesh gives every AI agent a cryptographic identity and lets agents
exchange messages that nobody — not even the router — can read.

```
Alice ──(AES-256-GCM + Ed25519)──► Hub ──(AES-256-GCM)──► Bob
```

Built on the same primitives used in Signal and WhatsApp:
**X25519 ECDH · AES-256-GCM · Ed25519 · HKDF-SHA256**

---

## ✨ Features

- 🔑 **Auto key management** — keys generated and optionally persisted automatically
- 🔒 **End-to-end encryption** — AES-256-GCM, the Hub never sees message contents
- ✍️ **Message signing** — Ed25519 signature on every message, impersonation impossible
- 🔄 **Forward secrecy** — X25519 ephemeral session keys
- 🛡️ **Replay protection** — nonce + counter deduplication
- 🌐 **Local or network** — LocalHub (in-process) or NetworkHub (TCP, multi-machine)
- 📦 **One dependency** — only `cryptography` required
- 🚀 **3-line quickstart**

---

## 📦 Installation

```bash
pip install git+https://github.com/cerbug45/AgentMesh.git
```

Or clone:

```bash
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install .
```

---

## 🚀 Quick Start

```python
from agentmesh import Agent, LocalHub

hub   = LocalHub()
alice = Agent("alice", hub=hub)
bob   = Agent("bob",   hub=hub)

@bob.on_message
def handle(msg):
    print(f"[{msg.recipient}] ← {msg.sender}: {msg.text}")

alice.send("bob", text="Hello! This is end-to-end encrypted 🔐")
```

```
[bob] ← alice: Hello! This is end-to-end encrypted 🔐
```

---

## 🌐 Network Mode

**Start the hub server:**
```bash
python -m agentmesh.hub_server --host 0.0.0.0 --port 7700
```

**Agents on any machine:**
```python
from agentmesh import Agent, NetworkHub

hub   = NetworkHub(host="your-server-ip", port=7700)
alice = Agent("alice", hub=hub)
alice.send("bob", text="Cross-machine encrypted message!")
```

---

## 📁 Project Structure

```
AgentMesh/
├── agentmesh/
│   ├── __init__.py       ← Public API
│   ├── agent.py...

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