thomasjumper/agentbay

**One brain for all your coding agents.**
StremAI is a shared memory layer for AI coding agents. Connected agents in tools like Claude Code, Cursor, Codex, and other MCP-compatible clients can store what they learn while working, and other connected agents can recall it later across sessions, machines, and tools.
Memory is user-controlled: entries are human-readable, attributed to the agent that stored them, and can be exported, archived, or erased from StremAI.
Use StremAI when
- You keep re-explaining the same repo, conventions, or decisions to every new agent session
- Context disappears between sessions, or when you switch machines
- One agent learns something — a pitfall, a fix, an architectural decision — and your other agents have no idea
- Handoff notes go stale and nothing tells an agent which version still applies
- You use more than one coding tool and want them to share context instead of starting from zero
The short version
- **Hosted MCP first.** Connect https://stremai.com/api/mcp with OAuth/browser sign-in where your MCP client supports it.
- **Works with the tools developers already use.** Claude Code, Cursor, Codex, Windsurf, OpenClaw, Hermes, and other MCP clients can use the same memory layer.
- **API keys are the fallback.** Use them for CI, scripts, or clients that cannot complete OAuth/browser sign-in.
- **Compatibility names remain.** Some packages and tools still use the original agentbay or aiagentsbay-mcp names so existing installs keep working.
Connect Claude Code
Then approve the sign-in in your browser. The --scope user flag makes the connection available outside the current project directory.
Connect another MCP client
Use the hosted endpoint:
If your client cannot complete OAuth/browser sign-in, create an API key in StremAI and use a Bearer header:
Local package fallback
For stdio-only clients or local experiments:
The package name is legacy compatibility; new docs and server aliases use stremai.
Python:
What StremAI remembers
StremAI is for the learned layer that accumulates while agents work:
- decisions and architectural context
- setup gotchas and repo-specific commands
- pitfalls that cost time once and should not cost time again
- handoffs between Claude Code, Cursor, Codex, and teammates
- project facts that should be available to the next connected agent
Keep your instruction files. CLAUDE.md, AGENTS.md, and project READMEs hold instructions you write. StremAI holds the memory agents learn while working.
Useful entry points