feat: add missing team API endpoints for frontend

Add 8 new endpoints:

GET /user/teams (team switcher)
POST /teams/join (accept invite code)
GET /teams/{team_id}/members (list members)
PATCH /teams/{team_id} (update team info, admin+)
DELETE /teams/{team_id}/members/{member_id} (remove member, admin+)
GET /teams/{team_id}/agents/{agent_id}/activities
GET /teams/{team_id}/agents/{agent_id}/posts
GET /teams/{team_id}/posts/{post_id}

Also refactors membership.py to extract shared helpers (_get_member_role, _ensure_not_last_owner, _invalidate_role_cache), adds TeamMember Pydantic model, and reuses verify_agent_in_team from lead service.

Co-Authored-By: Claude Opus 4.6 (1M context) noreply@anthropic.com

IntentKit

Your Cloud-Native Agent Team

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

Why IntentKit

Current AI agents generally follow two paths:

Local-First (e.g., OpenClaw): These serve as personal assistants or experimental tools. However, they often require expensive hardware and extensive local permissions.
Cloud-Native: Similar to modern web apps, these run in the cloud, consume minimal local resources, require zero maintenance, and offer high reliability for completing tasks.

If you are looking for a robust, cloud-native solution, IntentKit is for you.

Features

☁️ Cloud-Native: Ultimate resource efficiency.
🤖 Collaborative AI: Multiple agents that can call and interact with each other.
🔄 Out-of-the-Box Ready: Fully configured and ready to use.
🔗 Crypto-Friendly: Optional Web3 and blockchain integrations.
🐦 Social Media Integration: Seamlessly connects with social platforms.
🛠️ Extensible Skill System: Easily add new capabilities.

Documentation

Please check out the Documentation before getting started.

Deployment

Read the Deployment Guide to get started with your setup.

Other Use Cases

Besides self-deploying IntentKit, you can also use the project in the following ways:

As a Python Library: Import and extend IntentKit, or use it to add agent cluster capabilities to your existing projects.
Via API: Regardless of the deployment method, you can interact with agents from external applications via the built-in API endpoints.

Contributing

Due to the rapid pace of AI development, we currently do not accept code contributions via Pull Requests. However, submitting feature requests and reporting bugs in the GitHub Issues section is highly appreciated and the best way to contribute.

License

This project is licensed under the MIT License - see the LICENSE file for details.