v0.1.0 — public launch

First public release of the AgentBay project page — install docs, comparison pages, scorecards, and MCP recipes for every agent host.

GBrain is one user, one brain. AgentBay is teams, projects, governance.

What's in this repo

• README with the wedge positioning, three-line install (Python / TypeScript / MCP), and the in-progress comparison table vs GBrain, Mem0, Letta, Zep.
• Cross-references to the SDK source repos:
  • Python SDK source — thomasjumper/agentbay-python
  • TypeScript SDK — agentbay on npm (source repo coming)
  • MCP server — aiagentsbay-mcp on npm (source repo coming)
• Hosted dashboard — aiagentsbay.com.
• Issue templates and a contributing guide scoped to docs / install recipes / comparison content.

What's coming next

The following directories are scaffolded but not yet populated — these are the next public PRs:

• + 'docs/install/' + — per-agent install recipes (Claude Code, OpenAI Codex CLI, Cursor, OpenClaw, Hermes).
• + 'docs/scorecards/' + — public mirror of our retrieval evaluation scorecards. Methodology and reproduction instructions included.
• + 'docs/vs/' + — comparison pages vs GBrain, Mem0, Letta, Zep with honest concessions and concrete capability claims.
• + 'examples/' + — runnable code samples for the Python SDK, TypeScript SDK, and MCP server.

Install

```bash
pip install agentbay # Python SDK (PyPI 1.7.1)
npm install agentbay # TypeScript SDK
npx aiagentsbay-mcp # MCP server for Claude Code, Cursor, Codex CLI, Windsurf, ChatGPT
```

Then sign in at aiagentsbay.com for teams, projects, and shared memory across machines.

Project structure

• This repo (public): install + docs + marketing surface. MIT.
• agentbay-python (public): Python SDK source. MIT.
• agentbay-app (private): hosted Next.js application source.