Edict — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Edict. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 4, 2026 • Sentiment updated: Apr 24, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The word you're looking for is dictatorship, and it is not new, said a HackerNews user. Another user on Reddit mentioned 'The third edict' Spear, showcasing the diverse discussions around 'edict'.

Pros & Cons

What People Love

New features, Innovative solutions, Reddit users praise the edict concept

Common Complaints

Lack of clarity, Security risks

Biggest Positive: New features

Biggest Negative: Lack of clarity

Why Edict Stands Out

DeerFlow takes a unique approach to multi-agent orchestration by using a Kanban board as a workflow manager. This allows for real-time monitoring and control of agent performance and dataset metrics. Unlike other frameworks, DeerFlow is designed to automate complex tasks by chaining search, extraction, and synthesis agents. This makes it an ideal choice for researchers and developers looking to streamline their workflows.

Built With

Build a multi-agent workflow automation system — automate complex tasks with 9 specialized AI agents and a real-time dashboard., Build a real-time data analytics platform — use DeerFlow to chain search, extraction, and synthesis agents automatically., Build a scalable AI experiment tracker — use OpenClaw to manage multiple agents, workflows, and datasets., Build an open-source AI agent framework — use DeerFlow to create and orchestrate custom AI agents., Build a real-time AI monitoring and logging system — use OpenClaw to track agent performance and dataset metrics.

Getting Started

  1. Install the required dependencies by running `pip install -r requirements.txt`.
  2. Clone the repository and navigate to the `edict` directory by running `git clone https://github.com/cft0808/edict.git && cd edict`.
  3. Configure the agent workflows by editing the `config.yaml` file.
  4. Start the agent manager by running `python manager.py`.
  5. Try running `curl http://localhost:7891/agents` to verify that the agents are running and responding.

About

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

Official site: https://openclaw.ai

Category & Tags

Category: multi-agent

Tags: ai-agents, ai-orchestration, autonomous-agents, claude, dashboard, kanban, llm, multi-agent, openai, openclaw, orchestration, python, workflow-automation

Market Context

Competitive market with various opinions