Akasha Mcp Server

Name: Akasha Mcp Server
Author: ocuil

@ocuil

代码仓库

关于 Akasha Mcp Server

暂无概览

#memory #knowledge #ai #agents #persistent-memory

基本信息

分类

其他

传输方式

stdio

发布者

ocuil

提交者

Alejandro Sanchez Losa (AlejandroSL)

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "akasha": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ocuil/akasha-public#subdirectory=mcp-server",
        "akasha-mcp"
      ],
      "env": {
        "AKASHA_API_URL": "http://localhost:8080"
      }
    }
  }
}

工具

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概览

What is Akasha Mcp Server?

Akasha Mcp Server gives AI agents persistent shared memory through 10 tools for reading, writing, querying, and organizing knowledge across conversations. It is designed for multi-agent systems needing cognitive memory layers (working/episodic/semantic/procedural), stigmergic coordination via pheromone signals, and automatic memory consolidation. It works with Claude Desktop, Cursor, and any MCP client.

How to use Akasha Mcp Server?

Install and configure Akasha Mcp Server as an MCP server for your chosen client (Claude Desktop, Cursor, etc.). Once running, your AI agent can use its 10 tools to create, retrieve, update, and consolidate memory across sessions.

Key features of Akasha Mcp Server

10 tools for knowledge read/write/query/organize
Four cognitive memory layers: working, episodic, semantic, procedural
Stigmergic coordination with pheromone signals for multi-agent systems
Automatic memory consolidation across conversations
Compatible with Claude Desktop, Cursor, and any MCP client

Use cases of Akasha Mcp Server

Persistent agent memory that survives across chat sessions
Multi-agent coordination using stigmergic pheromone signals
Organizing and querying knowledge with layered memory models
Automatic, transparent consolidation of agent experiences
Shared context and history for teams of AI agents

FAQ from Akasha Mcp Server

What memory types does Akasha Mcp Server support?

It supports four cognitive memory layers: working, episodic (event sequences), semantic (facts/knowledge), and procedural (skills/routines).

How does multi-agent coordination work?

Agents communicate via stigmergic coordination using pheromone signals — digital markers that other agents can detect and respond to without direct communication.

Does memory persist across sessions?

Yes, Akasha Mcp Server provides persistent shared memory that remains available across conversations.

Which clients are supported?

It works with Claude Desktop, Cursor, and any client that implements the Model Context Protocol (MCP).

What is automatic memory consolidation?

The server automatically consolidates memories over time, summarizing and organizing information to keep the knowledge base efficient and relevant.

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