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Octopoda-OS

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces AI agent failures and data loss through persistent memory and crash recovery, enabling reliable deployment of autonomous systems in production enviro…

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

505 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces AI agent failures and data loss through persistent memory and crash recovery, enabling reliable deployment of autonomous systems in production environments where continuity is critical.

Engineering teams building multi-agent AI systems requiring fault tolerance, state persistence, and real-time debugging capabilities.

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https://github.com/RyjoxTechnologies/Octopoda-OS

By RyjoxTechnologies

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install RyjoxTechnologies/Octopoda-OS

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Retrieve relevant project context from persistent memory before starting code review
CostFree

Trust Signals Auto-scanned

Stars505Contributors6Last updated2026-07-15Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 505 GitHub stars; 6 contributors; last commit 10d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
4/5
Reliability
4/5
Security
4/5
Overall score3.30 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 505 GitHub stars; 6 contributors; last commit 10d ago; license no license.

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