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WRAI.TH
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WRAI.TH

Active·★ 32·AGPL-3.0·Updated 2026-10-11

wrai.th is mission control for AI agents, allowing a fleet of agents to remember across sessions, communicate effectively, and execute complex tasks collaboratively. It provides persistent context, token-aware context management, nested task execution, and a real-time dashboard for comprehensive oversight.

#Multi-Agent Orchestration#Persistent Memory#Task Management#Agent Communication#Real-time Monitoring#Go#MCP Protocol
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Not affiliated with Anthropic, OpenAI or Microsoft.

Guides
$ Install
$ curl -fsSL https://raw.githubusercontent.com/Synergix-lab/WRAI.TH/main/install.sh | bash
↗ Visit site★ GitHub
01

Features

01Persistent Context & Memory: Agents remember across sessions, picking up where they left off with scoped, conflict-aware memory (agent / project / global) and FTS5 search.
02Real-time Agent Communication: Supports 5 addressing modes (direct, broadcast, team, conversation, user), priority routing, TTL expiry, and delivery tracking.
03Nested Task Execution: Manages tasks and subtasks up to 3 levels deep, with progress roll-up and a strict state machine including an 'in-review' stage.
04Mission Control Dashboard: Provides a real-time overview of projects, agents, and tasks via a comprehensive web dashboard.
05Token-aware Context Management: Utilizes budget pruning to score messages by priority, relevance, and freshness, selecting the highest-value subset for agents.
02

Compatibility

Go
Runtime
Verified via docs
SQLite
Database
Verified via docs
MCP Protocol
Protocol
Verified via docs
03

Quick start

1
$ curl -fsSL https://raw.githubusercontent.com/Synergix-lab/WRAI.TH/main/install.sh | bash
04

Use cases

↳Managing and coordinating a fleet of AI coding agents for software development projects.
↳Orchestrating complex multi-agent workflows that require persistent state and inter-agent communication.
↳Providing real-time monitoring and oversight for autonomous AI agent operations.
05

Alternatives

⚡Top VS:
VSentwurf★29→VSA2A_ADK_MCP★11→VSnac★284→VS

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TsukumoHQ /
WRAI.TH
↗

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

32AGPL-3.0
Last commit1w ago
StatusActive
CategoryMulti-Agent
Links
Documentation↗Discussion↗Issues↗Releases↗
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