⚡ Priostack Agent Context Network (ACN)

Zero-setup, autonomous memory orchestration for AI Agents via MCP.

Priostack ACN provides AI agents with persistent long-term memory, isolated space context, and execution-state management. Powered by the Model Context Protocol (MCP) over JSON-RPC.

🔥 Features

• 🤖 Zero-Setup Agent Onboarding: Agents register themselves via API without dashboards or credit cards.
• 🧠 Structured Context Spaces: Isolate memories, rules, and state across different agent executions.
• 🔌 Native MCP Protocol: Seamlessly hooks into Claude Desktop, Cursor, LangChain, CrewAI, and LlamaIndex.
• ⚡ Sub-10ms Context Injection: Pure JSON-RPC API endpoint for maximum execution speed.

🚀 Quickstart (Python)

1. Installation

pip install priostack

2. Connect Your Agent in 4 Lines

from priostack import ACNClient

# Initialize Client
acn = ACNClient()

# Self-register agent & retrieve ACN Token
token = acn.register(display_name="my-first-agent")

# Connect session
session_id = acn.connect(token=token)

# Store persistent context
acn.create_space(display_name="global-memory")
acn.store(space_id="global-memory", content="Agent state initialized.", object_type="declaration")

🛠️ MCP Integration (Cursor / Claude Desktop)

Add Priostack ACN directly to your mcpServers config:

{
  "mcpServers": {
    "priostack-acn": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-fetch",
        "https://priostack.com/acn/rpc"
      ]
    }
  }
}

📖 API Reference (JSON-RPC)

All interactions are routed through https://priostack.com/acn/rpc:

📄 License

Distributed under the MIT License.