sanbuphy

sanbuphy / directive

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🏛️ Directive · OpenClaw Multi-Agent Orchestration System — 10 AI agents modeled after the U.S. Federal Executive Branch. Dual independent veto layers (White House Counsel + OMB), per-department Inspector General auditing, inter-agency task forces, and a real-time Situation Room dashboard. Separation of powers, by design.

12
2
89% credibility
Found Mar 07, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An AI collaboration system mimicking the U.S. executive branch, where specialized agents triage, plan, review, dispatch, execute, and arbitrate tasks, viewable on a real-time dashboard.

How It Works

1
🔍 Discover the AI Cabinet

You stumble upon this clever project that builds a team of AI helpers organized like the U.S. President's cabinet to tackle your tasks smoothly.

2
📦 Set it up easily

Run a simple one-click guide that prepares your personal AI government, connecting all the smart team members in moments.

3
🚀 Open the Situation Room

Launch your web dashboard and watch as your AI Chief of Staff, planners, reviewers, and experts light up, ready for action.

4
đź’¬ Issue your first order

Chat casually with the Chief of Staff, describing any task like building a website or analyzing data, just like texting a friend.

5
đź“Š Watch the magic unfold

In the live control board, see your order flow through planning, debate, assignment, and teamwork, with every step tracked in real time.

âś… Get perfect results

Receive your finished work, complete with reports and files, all reviewed and approved, saving you hours of effort.

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Star Growth

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AI-Generated Review

What is directive?

Directive is a Python-based multi-agent orchestration system built on OpenClaw, modeling 10 specialized AI agents after the U.S. Federal Executive Branch to handle complex tasks reliably. Users send directives via Slack, Telegram, or email; agents triage, plan, review, dispatch to departments like Treasury for data analysis or DoD for code engineering, with supreme court arbitration for conflicts. A real-time React dashboard provides Situation Room visibility into workflows, auditing, and agent health.

Why is it gaining traction?

It stands out with built-in separation of powers—senate filibuster reviews and judicial arbitration resolve agent disputes that plague simpler frameworks like CrewAI or AutoGen. The lean 10-agent setup, plus features like hot-swappable LLMs, per-agent skills, and Docker one-click deploy, deliver full observability without YAML hell. Developers hook on the constitutional reliability for auditing-heavy workflows, beating Edict's 12 agents in simplicity.

Who should use this?

AI engineers tackling multi-step devops pipelines, like automating GitHub Actions courses or infrastructure provisioning with compliance checks. Teams in regulated spaces needing agent auditing, such as security scans or document generation with DOJ-style reviews. Frontend or backend devs orchestrating agents for code review, testing, or data tasks beyond single-model limits.

Verdict

Worth starring and testing in dev for structured agent flows, but at 11 stars and 0.9% credibility score, it's incubation-stage—core works, docs solid, Docker smooth, yet await full tests before prod. Track for post-1.0 stability.

(198 words)

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