Chaunyzhang

Chaunyzhang / HiveWard

Public

让101个Agent合作为你打工：调度 Claude Code、Codex、OpenClaw 的 Agent Company 工作台。

112
20
80% credibility
Found May 27, 2026 at 112 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Hiveward is an open-source workspace for organizing multiple AI agents (Claude Code, Codex, OpenClaw) into coordinated teams that work together on tasks through visual workflow blueprints, with human approval checkpoints and execution history.

How It Works

1
💡 Discover Hiveward

You hear about a tool that lets you put 101 AI assistants to work together like a team, not just one-off chats.

2
🚀 Install and launch

You install the app with one simple command and open it in your browser to see the main dashboard.

3
🏢 Create your company

You set up a company workspace that will own all your agent teams, goals, and blueprints.

4
🎨 Design your first blueprint

On a visual canvas, you drag and connect agent nodes, managers, and approval checkpoints to describe how your team should work.

5
⚙️ Connect your AI workers

You choose which AI services (Claude Code, Codex, or OpenClaw) will power each agent in your blueprint.

6
Watch your team work
✅
Approve and continue

You review the work and click approve to let the workflow continue

💬
Give feedback

You ask for changes and the agent revises its output before you approve

📊 Review the results

Your workflow completes and all outputs, timing, and costs are saved to history for you to review and learn from.

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AI-Generated Review

What is HiveWard?

HiveWard is a TypeScript workspace for organizing multiple AI agents into a single governable company structure. Instead of juggling separate Claude Code, Codex, or OpenClaw sessions in isolated chat windows, you create a company with a CEO view, assign blueprints (visual workflow definitions) to leaders, and let manager nodes dispatch work to agents. The system tracks every run, pauses for human approval when needed, and maintains a complete execution ledger. It runs locally via CLI (`hiveward start`) or from source, serving a web UI on port 10101.

Why is it gaining traction?

The hook is simple: agents stop being one-off chat partners and become organized team members. You can design a blueprint on a canvas, set up approval gates that require human judgment, and watch each node execute with visible state and evidence. Unlike generic workflow tools, this stays close to the actual agent runtimes rather than replacing them. The comparison table in the docs makes the case directly: most alternatives force you to sacrifice native agent capabilities or give up structured multi-agent coordination. HiveWard tries to keep both.

Who should use this?

Solo developers or small teams who want to coordinate multiple AI agents on complex, multi-step tasks. It's useful if you've found yourself copying prompts between sessions, losing track of intermediate outputs, or needing a way to review agent work before it ships. Not yet ready for production use given the early version number and small community.

Verdict

HiveWard solves a real problem with a thoughtful design, but the credibility score of 0.800000011920929% and 112 stars tell you everything about current maturity. The feature set is compelling, the code looks solid, and the documentation is thorough for an early project. Watch it, star it, and revisit when the star count grows. Building production workflows on v0.3.4 with this little community backing is a bet on the project's future, not a safe bet today.

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