Tools Categories Trending New Compare

RAG / Knowledge Base/

Octopoda-OS

Octopoda-OS

Active·★ 338·NOASSERTION·Updated 2026-05-22

★ Memory & Context★ Multi-Agent

The open-source memory operating system for AI agents. Persistent memory, semantic search, loop detection, agent messaging, crash recovery, and real-time observability.

Octopoda is an open-source memory OS for AI agents that provides persistent memory, loop detection, audit trails, and real-time observability out of the box. It works automatically when you create an agent, and supports both local (SQLite) and cloud (PostgreSQL) storage. It integrates with popular frameworks like LangChain, CrewAI, AutoGen, and OpenAI Agents SDK, and offers an MCP server for Claude/Cursor.

#agent-framework#ai-agents#ai-memory#autogen#crash-recovery#crewai#developer-tools#knowledge-graph

$ Install

$ pip install octopoda

↗ Visit site ★ GitHub

01

Features

01Persistent memory surviving restarts and crashes

02Loop detection to prevent repetitive patterns

03Full audit trail of decisions and actions

04Crash recovery with snapshots and restore

05Health scoring for memory quality and agent performance

02

Compatibility

LangChain

LangChain

Verified via docs

CrewAI

CrewAI

Verified via docs

AutoGen

AutoGen

Verified via docs

OpenAI Agents SDK

OpenAI Agents SDK

Verified via docs

03

Quick start

1

$ pip install octopoda

04

Use cases

↳Building AI assistants with long-term memory

↳Monitoring and debugging agent behavior with audit trails

↳Collaborative multi-agent systems with shared memory

05

Alternatives

mindsdb★ 39.2k

Federated Query Engine for AI - The only MCP Server you'll ever need

Brave Search MCP★ 86.5k

Allow your AI Agent to search the real-time internet using Brave Search API. Essential for getting up-to-date information.

llama-cpp-agent★ 635

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

agents-best-practices★ 1.1k

Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.

The agent environment for long-horizon work, continuity, and self-evolution.

fast-agent★ 3.8k

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support

awesome-claude★ 250

HeyClaude is a curated registry and distribution surface for Claude and AI-workflow assets: agents, MCP servers, skills, commands, hooks, rules, guides, tools, jobs, Raycast feeds, static data exports, and an npm MCP package.

initrunner★ 38

Define AI agent roles in YAML and run them anywhere: CLI, API server, or autonomous daemon

See all alternatives →

Related searches

Octopoda-OS Alternatives Best RAG / Knowledge Base Tools 2026 Open Source RAG / Knowledge Base Octopoda-OS Tutorial Octopoda-OS Vs Competitors agent-framework ai-agents ai-memory

Comments

Log in to leave a comment

O
Oakley JacksonApr 30, 2026
Memory operating system for AI agents — persistent, semantic, and open-source.
A
Alex DavisApr 27, 2026
Good foundation for building stateful AI systems without rolling your own storage.
C
Corey DavisMar 11, 2026
Semantic retrieval means agents find relevant context, not just exact matches.
S
Scout LewisMar 6, 2026
Agent memory that survives restarts and scales across multiple agent instances.

On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

Stats

GitHub Stars★ 338

Last commit1w ago

StatusActive

LicenseNOASSERTION

CategoryRAG / Knowledge Base

Trend (30d)

+13.5↑ 0.4%

Links

Documentation↗Discussion↗Issues↗Releases↗

Deploy on DigitalOcean — Get $200 Free Credit

© 2026 AgentIndex.app|Built by a 10-year iOS Developer.

QYS GitHub Buy me a coffee ☕

Browse by Category

Code Assistant Workflow Automation RAG / Knowledge Base Multi-Agent Browser Automation LLM Infra Dev Tooling Observability

Not affiliated with Anthropic, OpenAI or Microsoft.