21 GitHub Projects for Building an AI Team—Yet the Original Author's Last Line Tells You Not to Install Them All
Someone on X compiled 21 GitHub projects covering multi-agent collaboration, browser automation, memory, sales/trading research, and templates/skills. The comments are more realistic: some people are stuck on an agent editing its own readme, while others worry about shared context and agents disagreeing with each other. The last line of the list is the real point: start with one repetitive task, don't install all 21 at once.
On X there is a list. The original post is from @RoundtableSpace, credited to 0xMarioNawfal, with a very direct title: 21 GitHub projects to build an AI team, not to make another chatbot. Original post link: https://x.com/RoundtableSpace/status/2117221434275643503
The list is divided into five categories, listed below in the original order. All links are GitHub repositories.
Agent Teams
- Orca: Run multiple coding agents in parallel with isolated workspaces. Repo
- OpenMausBot: An AI coworker with connected apps and its own computer. Repo
- Open Duet: A self-hosted AI coworker with defined roles, memory, and routines. Repo
- Rakazo: Create persistent AI teammates and choose your own model. Repo
- OpenBot: Build AI coworkers that can access browsers, files, and tools. Repo
Browser & Automation
- Web Access: Give agents browser access and reuse website workflows. Repo
- DevSpace: A development workspace for building and managing AI workflows. Repo
- Unbrowse: Turn browser workflows into reusable API calls. Repo
- Grok Bot CLI: Manage Grok Bot agents and groups in the terminal. Repo
Memory & Knowledge
- Obsidian Second Brain: Give agents persistent memory through an Obsidian knowledge base. Repo
- OpenMeld: Connect AI agents and workflows. Repo
- Rome: An agent operating system for persistent workflows. Repo
- GrokBot Field Notes: Roles, playbooks, rules, and lessons for building a Grok Bot team. Repo
Business & Trading
- OpenCompany: Organize specialized AI employees into company workflows. Repo
- HyperGrok Trading Desk: Specialized agents for trading research, risk, and execution. Repo
- Gojiberry AI Sales OS: An outbound sales team with specialized agents and MCP integrations. Repo
- Crew Contract: Define roles and protocols between agents on a team. Repo
Templates & Skills
- Awesome Grok Bot: Browse public Grok Bot configurations and learn existing setups. Repo
- Root Agent Skill Framework: Organize and manage reusable agent skills. Repo
- Grok Bot Profiles: A collection of Grok Bot configurations and profiles. Repo
- Grok Research: Tools and workflows for doing research with Grok Bot. Repo
The comments are closer to real-world use than the list. One user said they still can't get an agent to stop editing its own readme. Someone asked which project handles shared context best. Someone else poured cold water directly: agent teams sound cool until they disagree with each other. Another person said they would try the memory part first, because agents forgetting things between sessions is the most troublesome. Another reply was simpler: start with one task, then expand the team.
These comments point to the same place: multi-agent systems do not automatically get stronger just because there are more models. Scheduling, permissions, state synchronization, and failure recovery all become new work. Team collaboration and trading research stand out in the list, but the pain points revealed in the comments are memory, context, and conflict.
The last line of the original post is more worth copying than the 21 links: Start with one recurring task, not 21 installations. First find a task that repeats every week, have one agent do it, and record the inputs, outputs, and failure points. If it runs stably, then consider a second one. Installing 21 projects at once may first earn you 21 coworkers that need maintenance.
发布时间: 2026-11-02 20:29