octopoda-os
byryjoxtechnologies· 1 MCP server
---
How to install octopoda-os?
ryjoxtechnologies/octopoda-os
$git clone https://github.com/ryjoxtechnologies/octopoda-osInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install octopoda-os by running `git clone https://github.com/ryjoxtechnologies/octopoda-os`, then use it for the current task and follow its documentation at https://github.com/ryjoxtechnologies/octopoda-os.
README.md
| 1 | <h1 align="center">🐙 Octopoda</h1> |
| 2 | |
| 3 | <p align="center"> |
| 4 | <strong>The open-source memory and observability layer for AI agents.</strong><br /> |
| 5 | Persistent memory, loop detection, audit trails, and a live dashboard — automatic on <code>pip install</code>. |
| 6 | </p> |
| 7 | |
| 8 | <p align="center"> |
| 9 | <a href="https://pypi.org/project/octopoda/"><img src="https://img.shields.io/pypi/v/octopoda?style=flat-square&label=pypi" alt="PyPI" /></a> |
| 10 | <a href="https://pypi.org/project/octopoda/"><img src="https://img.shields.io/pypi/dm/octopoda?style=flat-square&color=blue&label=downloads" alt="Downloads" /></a> |
| 11 | <a href="https://github.com/RyjoxTechnologies/Octopoda-OS/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/RyjoxTechnologies/Octopoda-OS/ci.yml?branch=main&style=flat-square&label=CI" alt="CI" /></a> |
| 12 | <a href="https://github.com/RyjoxTechnologies/Octopoda-OS/actions/workflows/smoke.yml"><img src="https://img.shields.io/github/actions/workflow/status/RyjoxTechnologies/Octopoda-OS/smoke.yml?branch=main&style=flat-square&label=smoke" alt="Smoke" /></a> |
| 13 | <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue?style=flat-square" alt="License" /></a> |
| 14 | <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.9+-blue?style=flat-square" alt="Python 3.9+" /></a> |
| 15 | <a href="https://github.com/RyjoxTechnologies/Octopoda-OS/stargazers"><img src="https://img.shields.io/github/stars/RyjoxTechnologies/Octopoda-OS?style=flat-square&color=gold" alt="Stars" /></a> |
| 16 | </p> |
| 17 | |
| 18 | <p align="center"> |
| 19 | <a href="https://octopodas.com"><b>Website</b></a> · |
| 20 | <a href="https://octopodas.com/docs"><b>Docs</b></a> · |
| 21 | <a href="https://octopodas.com/dashboard"><b>Dashboard</b></a> · |
| 22 | <a href="#quick-start"><b>Quick start</b></a> · |
| 23 | <a href="#mcp-server"><b>MCP server</b></a> |
| 24 | </p> |
| 25 | |
| 26 | <p align="center"> |
| 27 | <img src="docs/images/dashboard-overview.png" alt="Octopoda dashboard — live fleet overview showing agent health, operations volume, anomaly stream, and loops caught" width="880" /> |
| 28 | </p> |
| 29 | |
| 30 | <p align="center"><sub><i>Live fleet overview: agent health, operations volume, per-agent scores, the anomaly stream, and the loops caught before they burned tokens. The same dashboard runs locally and in the cloud.</i></sub></p> |
| 31 | |
| 32 | --- |
| 33 | |
| 34 | ## Contents |
| 35 | |
| 36 | - [What is Octopoda](#what-is-octopoda) |
| 37 | - [The problems it solves](#the-problems-it-solves) |
| 38 | - [Quick start](#quick-start) |
| 39 | - [Local vs cloud](#local-vs-cloud) |
| 40 | - [What you get out of the box](#what-you-get-out-of-the-box) |
| 41 | - [Agents](#agents) · [Memory](#memory) · [Shared memory](#shared-memory) · [Audit trail](#audit-trail) |
| 42 | - [Advanced features](#advanced-features) |
| 43 | - [Framework integrations](#framework-integrations) |
| 44 | - [MCP server](#mcp-server) |
| 45 | - [How it compares](#how-it-compares) |
| 46 | - [Cloud & pricing](#cloud--pricing) |
| 47 | - [Installation](#installation) · [Configuration](#configuration) |
| 48 | |
| 49 | --- |
| 50 | |
| 51 | ## What is Octopoda |
| 52 | |
| 53 | Octopoda is the layer between your AI agents and a production system that behaves. You write your agent however you like — plain Python, LangChain, CrewAI, AutoGen, the OpenAI Agents SDK, or MCP — and Octopoda sits underneath and handles four things agents consistently get wrong: |
| 54 | |
| 55 | - **Memory** that survives every restart, crash, and deploy. |
| 56 | - **Loop detection** that flags a stuck agent in seconds, with the exact calls that caused it. |
| 57 | - **An audit trail** of every decision, write, and recovery — optionally hash-chained and verifiable. |
| 58 | - **A live dashboard** so you can actually see what your agents are doing. |
| 59 | |
| 60 | It runs locally with one `pip install` and zero infrastructure. When you outgrow local, the same code syncs to the cloud with a single environment variable — no re-architecture, no migration. The whole thing is MIT-licensed. |
| 61 | |
| 62 | If you have ever shipped an agent and watched it forget the user between sessions, loop on a failing API call, or vanish into a black box you couldn't debug, this is the missing layer. |
| 63 | |
| 64 | --- |
| 65 | |
| 66 | ## The problems it solves |
| 67 | |
| 68 | **Agents forge |
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