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).
@ocuil
基本信息
暂无概览
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"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
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.
It supports four cognitive memory layers: working, episodic (event sequences), semantic (facts/knowledge), and procedural (skills/routines).
Agents communicate via stigmergic coordination using pheromone signals — digital markers that other agents can detect and respond to without direct communication.
Yes, Akasha Mcp Server provides persistent shared memory that remains available across conversations.
It works with Claude Desktop, Cursor, and any client that implements the Model Context Protocol (MCP).
The server automatically consolidates memories over time, summarizing and organizing information to keep the knowledge base efficient and relevant.
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