Octopoda Memory

Created By

RyjoxTechnologies23 days ago

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 Code, Claude Desktop, and Cursor. Open source, free tier available.

# memory

# agents

Overview Content Tools Comments

Overview

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

Install: pip install octopoda
Get free API key at https://octopodas.com
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

Server Config

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

Recommend Servers

TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.

MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs

Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code

DeepChatYour AI Partner on Desktop

Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.

Howtocook Mcp基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

WindsurfThe new purpose-built IDE to harness magic

RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.