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Octopoda Memory MCP Server

@RyjoxTechnologies

代码仓库

基本信息

分类

生产力

传输方式

stdio

作者

RyjoxTechnologies

提交者

Joseph Roberts

关于 Octopoda Memory MCP Server

Persistent memory for AI agents that survives across sessions. Store, recall, and semantically search memories. Includes loop detection that catches agents stuck repeating themselves, full audit trails, shared memory between agents, and a real-time dashboard. Works with Claude Co

#memory#agents#persistent-memory#semantic-search#loop-detection#audit-trail#langchain#crewai#openai-agents

Octopoda Memory MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "octopoda": {
      "command": "python",
      "args": [
        "-m",
        "synrix_runtime.api.mcp_server"
      ],
      "env": {
        "OCTOPODA_API_KEY": "your-key-from-octopodas.com"
      }
    }
  }
}

Octopoda Memory MCP Server 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Octopoda Memory?

Octopoda Memory is a persistent memory system for AI agents. It allows agents to store, recall, and search memories that survive across sessions, restarts, crashes, and deployments. It is designed for developers building AI agents that need long-term memory, shared knowledge, and monitoring capabilities.

How to use Octopoda Memory?

Install the package with pip install octopoda, obtain a free API key from https://octopodas.com, then add it to Claude Code using the command: claude mcp add octopoda -s user -e OCTOPODA_API_KEY=your-key -- python -m synrix_runtime.api.mcp_server.

Key features of Octopoda Memory

  • Persistent memory that survives restarts, crashes, and deployments
  • Semantic search to find memories by meaning
  • Loop detection to catch agents repeating themselves
  • Audit trail logging every decision with reasoning
  • Shared memory for agents to share knowledge through memory spaces
  • Real-time dashboard to monitor all agents at localhost:7842

Use cases of Octopoda Memory

  • Storing agent memories that persist across multiple sessions
  • Searching for past memories by semantic similarity rather than exact keys
  • Preventing agents from burning tokens by repeating the same actions
  • Logging and reviewing agent decision rationale for debugging
  • Enabling multiple agents to share and access common knowledge

常见问题

1

What is Octopoda Memory?

Octopoda Memory provides persistent memory for AI agents, allowing them to store, recall, and search memories that survive across sessions.

2

How do I install Octopoda Memory?

Install it via pip: `pip install octopoda`. Then get a free API key at https://octopodas.com and add the server to Claude Code with the provided command.

3

What tools does Octopoda Memory provide?

It offers 13 tools including octopoda_remember, octopoda_recall, octopoda_recall_similar, octopoda_search, octopoda_recall_history, octopoda_snapshot, octopoda_restore, octopoda_share, octopoda_read_shared, octopoda_list_agents, octopoda_agent_stats, octopoda_log_decision, and octopoda_loop_status.

4

What is the real-time dashboard address?

The real-time dashboard runs at localhost:7842.

5

Where do I get an API key?

A free API key is available at https://octopodas.com.

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