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Akasha MCP Server

@ocuil

Repository

Basic information

Category

Other

Transports

stdio

Author

ocuil

Submitted by

Alejandro Sanchez Losa (AlejandroSL)

About Akasha MCP Server

No overview available yet

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

Akasha MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
      }
    }
  }
}

Akasha MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

1

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).

2

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.

3

Does memory persist across sessions?

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

4

Which clients are supported?

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

5

What is automatic memory consolidation?

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

Comments

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