bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
AgentMesh SKILL.md
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install cerbug45/agentmeshExaminez 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.
WhatsApp-style end-to-end encrypted messaging for AI agents. GitHub: https://github.com/cerbug45/AgentMesh | Author: cerbug45
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.
pip
pip install git+https://github.com/cerbug45/AgentMesh.git
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install .
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install -e ".[dev]"
pytest # run all tests
python -c "import agentmesh; print(agentmesh.__version__)"
# → 1.0.0
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.
An Agent is an AI agent with a cryptographic identity (two key pairs):
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
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
cryptography requiredpip install git+https://github.com/cerbug45/AgentMesh.git
Or clone:
git clone https://github.com/cerbug45/AgentMesh.git
cd AgentMesh
pip install .
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 🔐
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!")
AgentMesh/
├── agentmesh/
│ ├── __init__.py ← Public API
│ ├── agent.py...
# 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** –...# 🔐 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...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.