TeamHero v2.6.1: Open-Source Platform for Managing Claude AI Agents

✍️ OpenClawRadar📅 Published: March 21, 2026🔗 Source
TeamHero v2.6.1: Open-Source Platform for Managing Claude AI Agents
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What TeamHero Does

TeamHero is an open-source platform that sits on top of Claude CLI and lets you create, manage, and coordinate multiple Claude agents through a web dashboard. Each agent gets its own role and personality (defined traits, tone, writing style, and rules), persistent memory (short-term session context and long-term accumulated knowledge), and a task queue with a full lifecycle: draft → working → pending → accepted → closed.

You talk to an orchestrator agent through a Command Center (basically a terminal in the dashboard). The orchestrator delegates work to your other agents, tracks progress, and brings results back for your review.

Latest Features in v2.6.1

  • Flow and Tree task views - Visualize your entire task pipeline as a flow diagram or a nested tree. See how subtasks connect to parent tasks, where dependencies exist, and what's blocking what.
  • Unlimited subtask nesting - Break complex work into arbitrarily deep subtask trees. Each level can have its own assignee, dependencies, and lifecycle. Parent tasks auto-advance when their children finish.
  • Autopilot mode and Autopilot view - Flag any task as autopilot and the agent runs the full lifecycle without waiting for human review. A dedicated view shows all autopilot tasks and their progress.
  • Tags, due dates, and timestamps - Organize tasks with tags, set deadlines, and track when things were created, updated, accepted, and closed.
  • Credentials system - Store API keys and secrets securely. Agents can access them when needed without exposing them in logs or files.
  • Capabilities system - Define what each agent can do. The orchestrator uses this when deciding who gets which task.
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Key Features

  • Round Tables - Run a structured review across all agents. It's basically a standup/scrum meeting but for your agent team. The orchestrator checks each agent's task load, surfaces blockers, and presents items that need your approval.
  • Knowledge Base - When an agent finishes a research task, you can promote the deliverable into a searchable knowledge library. Other agents can reference it later. This solves the "I had Claude research this last week but now the context is gone" problem.
  • Task versioning - Every task tracks versions with deliverables. You can request revisions and the agent produces a new version while keeping the history. You stay in control of what gets approved.

Tech Stack

  • Single server.js file - Node's built-in http module, no Express
  • Vanilla HTML/CSS/JS dashboard - no React, no build step
  • Claude CLI runs as a subprocess - agents are Claude sessions with custom system prompts
  • JSON files on disk - no database
  • Everything runs locally on your machine

The whole thing is about 2000 lines of code total. The creator wanted something they could actually understand and modify without digging through layers of abstractions.

Comparison to Other Frameworks

Compared to CrewAI, AutoGen, or LangGraph, TeamHero is more opinionated - it gives you the dashboard, task tracking, knowledge base, and media library from the start, with zero config. The tradeoff is it's specifically built around Claude CLI rather than being model-agnostic.

Setup

git clone https://github.com/sagiyaacoby/TeamHero.git my-team
cd my-team
npm install

Windows: launch.bat | Mac/Linux: bash launch.sh

Dashboard opens at localhost. You go through a quick setup wizard, then ask the orchestrator to build your team.

GitHub: https://github.com/sagiyaacoby/TeamHero

📖 Read the full source: r/ClaudeAI

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👀 See Also