Agent-Comm-Hub
Enables Hermes agents to join the multi-agent network, leveraging the hub's messaging, task orchestration, and memory systems as documented in the Hermes integration guide.
What problem does it solve?
When you run multiple AI agents (Claude Code, OpenClaw, WorkBuddy, custom agents…), they operate in silos. They can't:
Talk to each other without brittle webhooks or shared databases
Schedule tasks across agent boundaries
Share context beyond one-shot prompts
Evolve together as a team based on past experience
Agent Communication Hub gives every MCP-compatible agent a shared nervous system — message bus, task queue, memory layer, and evolution engine — so agents collaborate instead of isolation.
Try it in 3 lines
# 1. Start the Hub
docker run -d -p 3100:3100 --name ach liuboacean/agent-comm-hub
# 2. Register an agent
python3 -c "from hub_client import SynergyHubClient; print(SynergyHubClient('http://localhost:3100').register('YOUR_INVITE_CODE'))"
# 3. Send a message
python3 -c "from hub_client import SynergyHubClient; c=SynergyHubClient('http://localhost:3100'); c.set_token('YOUR_TOKEN'); c.send_message(to='other-agent', content='Hello!')"No config files. No external services. Works locally.
Features at a glance
Category | Tools | What it does |
Identity | 6 | Register agents, heartbeat, RBAC roles, trust scoring |
Messaging | 5 | P2P / broadcast, FTS5 search, deduplication |
Task Scheduling | 8 | 7-state machine, pipelines, parallel groups, auto-retry |
Memory | 5 | private / team / collective scopes, edge function scoring |
Orchestration | 11 | Dependency chains (DFS cycle detection), quality gates, handover protocols |
Evolution | 12 | Experience sharing, 4-tier strategy approval, trust-score feedback loop |
Security | 6 | Token auth, 4-level RBAC, audit hash chain, CORS whitelist |
Files | 3 | Upload / download / list, up to 10MB Base64 |
53 MCP tools · SQLite WAL (zero message loss) · SSE push latency < 50ms
Architecture
┌──────────────┐ ┌──────────────────────────┐ ┌──────────────┐
│ Agent A │ SSE │ Agent Communication │ SSE │ Agent B │
│ (Claude Code)│◄────────►│ Hub v2.4 │◄────────►│ (WorkBuddy) │
│ │ MCP │ localhost:3100 │ MCP │ │
└──────────────┘◄─────────►│ │◄─────────►└──────────────┘
│ ┌────────────────────┐ │
│ │ Identity / RBAC │ │
│ │ Message / Broadcast │ │
│ │ Task Scheduler │ │
│ │ Memory (3 scopes) │ │
│ │ Evolution Engine │ │
│ │ Orchestrator │ │
│ └──────────┬───────────┘ │
└─────────────┼──────────────┘
│
SQLite (WAL)Any MCP-compatible agent can connect: Claude Code, OpenClaw, WorkBuddy, Hermes, custom agents, etc.
SDK Examples
Python — zero dependencies
from hub_client import SynergyHubClient
hub = SynergyHubClient(hub_url="http://localhost:3100", agent_id="my-agent")
hub.set_token("your-api-token")
# Send a message
hub.send_message(to="workbuddy", content="Task completed, handing over.")
# Store shared memory
hub.store_memory(content="User prefers JSON responses", scope="collective")
# Assign a task
task = hub.create_task(title="Review PR #42", assignee="claude-code", priority=2)
# Share a lesson learned
hub.share_experience(title="DB lock timeout fix", content="...", category="debug")
# Stream incoming events
hub.on_message = lambda msg: print(f"Received: {msg}")
hub.connect_sse() # blocks — long-lived SSE connectionTypeScript — also zero external deps
import { AgentClient } from "./client-sdk/agent-client.js";
const client = new AgentClient({
agentId: "my-agent",
hubUrl: "http://localhost:3100",
token: "your-api-token",
onMessage: async (msg) => { /* handle */ },
onTaskAssigned: async (task) => { /* handle */ },
});
await client.start();
await client.sendMessage({ to: "workbuddy", content: "Done!" });Deployment
Docker (recommended)
docker run -d -p 3100:3100 --name ach liuboacean/agent-comm-hubDocker Compose (with Prometheus + Grafana)
cd deploy && docker compose up -d
# Hub: http://localhost:3100
# Grafana: http://localhost:3000 (admin/admin)
# Prometheus: http://localhost:9090From source
git clone https://github.com/liuboacean/agent-comm-hub.git
cd agent-comm-hub
npm install && npm run build
npm startAs a Skill
# ClawHub
clawhub install liuboacean/agent-comm-hub
# SkillHub (30+ platforms)
npx skills add liuboacean/agent-comm-hubMCP Configuration
After starting the Hub, add it to your agent's MCP config:
Option 1: stdio (recommended)
{
"mcpServers": {
"agent-comm-hub": {
"command": "node",
"args": ["<hub-install-path>/stdio.js"],
"env": {
"HUB_KEY": "your-connection-key"
}
}
}
}Option 2: HTTP + SSE
{
"mcpServers": {
"agent-comm-hub": {
"url": "http://localhost:3100/mcp"
}
}
}The agent's LLM can then call all 53 tools directly via natural language.
Security
Feature | Detail |
RBAC | 4 levels: public → member → group_admin → admin |
Token auth | SHA-256 agent tokens, stored as hash in DB |
Audit hash chain |
|
Trust scoring | Auto-calculated, affects strategy approval tiers |
CORS | Whitelist-only, default deny |
Security headers | X-Frame-Options, CSP, HSTS, X-XSS-Protection |
Request tracing | traceId on every request + response header |
File Structure
agent-comm-hub/
├── src/ # Hub server source (TypeScript)
│ ├── server.ts # Express + SSE + MCP entry point
│ ├── db.ts # SQLite WAL schema + queries
│ ├── identity.ts # Registration, heartbeat, RBAC
│ ├── memory.ts # 3-scope memory with FTS5
│ ├── task.ts # 7-state task scheduler
│ ├── orchestrator.ts # Dependency chains, pipelines
│ ├── evolution.ts # Strategy engine, trust scoring
│ └── security.ts # Auth, token, RBAC, audit
├── client-sdk/
│ ├── hub_client.py # Python SDK (zero deps, 68 methods)
│ └── agent-client.ts # TypeScript SDK (35 public methods)
├── deploy/
│ ├── docker-compose.yml # Prometheus + Grafana observability
│ └── prometheus.yml # Metrics scraping config
├── docs/
│ ├── API_REFERENCE.md # 53 tools complete reference
│ ├── advanced-orchestration-guide.md
│ ├── evolution-engine-guide.md
│ └── hermes-integration-guide.md
├── scripts/
│ ├── install.sh # Hub server install script
│ └── test-e2e.sh # End-to-end test suite
└── tests/ # Integration + unit testsDocumentation
Doc | When to read |
Every tool signature + examples | |
Pipelines, parallel groups, quality gates | |
Trust scoring, strategy approval workflow | |
Step-by-step Hermes agent setup | |
This page |
License
MIT — use it freely in personal and commercial projects.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/liuboacean/agent-comm-hub'
If you have feedback or need assistance with the MCP directory API, please join our Discord server