Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. On...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if WRAI.TH belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add wrai-th-2 -- npx wrai-th-2Run this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove wrai-th-2No messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ wrai-th-2 ← registers here
Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. One binary, zero config.
Source: GitHub repository
Source check: No source check recorded
Repository state: Not marked archived
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