Octopoda Memory

by RyjoxTechnologies

327 downloads

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GitHub

About

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

Details

Author: RyjoxTechnologies
Downloads: 327
Categories: Productivity, AI

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Octopoda Memory

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

Octopoda Memory

Persistent memory for AI agents. Store, recall, and search memories that survive across sessions.

Features

- Persistent Memory — agent.remember() and agent.recall() that survives restarts, crashes, deployments - Semantic Search — find memories by meaning, not just exact keys - Loop Detection — catches agents stuck repeating themselves before they burn tokens - Audit Trail — every decision logged with reasoning - Shared Memory — agents share knowledge through memory spaces - Real-time Dashboard — monitor all agents at localhost:7842 Setup 1. Install: pip install octopoda 2. Get free API key at https://octopodas.com 3. Add to Claude Code: claude mcp add octopoda -s user -e OCTOPODA_API_KEY=your-key -- python -m synrix_runtime.api.mcp_server

13 Tools Available

- octopoda_remember — store a memory - octopoda_recall — get a memory by key - octopoda_recall_similar — semantic search - octopoda_search — prefix search - octopoda_recall_history — version history - octopoda_snapshot / octopoda_restore — checkpoint and rollback - octopoda_share / octopoda_read_shared — shared memory between agents - octopoda_list_agents — list all agents - octopoda_agent_stats — performance stats - octopoda_log_decision — audit trail - octopoda_loop_status — loop detection

Links

- GitHub: https://github.com/RyjoxTechnologies/Octopoda-OS - Website: https://octopodas.com - PyPI: https://pypi.org/project/octopoda/

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Octopoda Memory

Features

13 Tools Available

Links

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