WRAI.TH

Name: WRAI.TH Review
Item: WRAI.TH
Rating: 2.5
Author: Aaron Matthews

Skill Setup & Config Poor

Works inClaude Code

Poor Scanned — metadata only

Reduces complexity of coordinating multiple AI agents in production by handling memory persistence, message routing, and context optimization—eliminating man…

Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. One binary, zero config.

Automate complex workflows by orchestrating multiple AI agents with shared memory.
Set up multi-agent systems without writing configuration files or complex setup code.
Manage agent communication and task dependencies across distributed task execution.

26 starsAGPL-3.0 (check with legal)Free

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Reduces complexity of coordinating multiple AI agents in production by handling memory persistence, message routing, and context optimization—eliminating manual glue code that typically consumes weeks of engineering effort.

Best for

Engineering teams deploying multi-agent systems who need reliable orchestration without custom infrastructure investment.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/TsukumoHQ/WRAI.TH

By TsukumoHQ

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 TsukumoHQ/WRAI.TH

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:

Help me automate complex workflows by orchestrating multiple AI agents with shared memory

CostFree

Trust Signals Auto-scanned

Stars26Contributors5Last updated2026-07-21LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 26 GitHub stars; 5 contributors; last commit 4d ago; license AGPL-3.0.

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.
License (AGPL-3.0) may restrict commercial use. Check with your legal team.

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 Scores

Evaluation

Ease of Use

1/5

Versatility

2/5

Reliability

4/5

Security

4/5

Overall score2.45 / 5.00 PoorEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 26 GitHub stars; 5 contributors; last commit 4d ago; license AGPL-3.0.

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