Byterovermemory Mcp
Attach team- or session-oriented memory to OpenAI Codex (and other MCP clients) with governed receipts and usage logs from a hosted memory MCP.
Overview
ByteRover Team Memory is a MCP server for the Build phase that provides a paid remote OpenAI Codex-oriented memory layer with verdicts, receipts, and usage logs.
What is this MCP server?
- Paid remote MCP branded ByteRover Team Memory for OpenAI Codex memory patterns
- Hosted at byterovermemory.clauxel.com with streamable-http and Bearer auth
- Returns verdicts, receipts, usage logs, and structured memory operations (per product positioning)
- Registry tags: byterovermemory, openai-codex-memory-mcp, agent-tools
- Reference repo: byterover-team-memory-mcp on GitHub
- Server version 1.0.0
- Remote URL streamable-http transport only
- Registry title: ByteRover Team Memory
What problem does it solve?
Coding agents forget prior decisions between sessions, so solo builders re-explain architecture and repeat mistakes.
Who is it for?
Indie teams on Codex or multi-agent setups who want hosted memory MCP with audit-friendly logs rather than a DIY vector store.
Skip if: Builders who need only free local memory files or full knowledge-base search with no paid remote service.
What do I get? / Deliverables
After registration, your agent can persist and recall team memory through MCP with logged usage and receipt-style responses you can trace.
- Registered remote memory MCP endpoint for agent recall workflows
- Verdict and receipt-style responses plus usage logs from memory operations
- Documented connection pattern via server card URL for client setup
Recommended MCP Servers
Journey fit
Persistent agent memory is configured while you wire coding agents and tooling during Build, even if retrieved context helps later phases. ByteRover targets Codex-style memory MCP workflows—exactly agent-tooling setup for recall across tasks without bolting on a separate notes stack.
How it compares
Hosted Codex memory MCP with receipts, not an embedded repo-indexing skill or generic note app integration.
Common Questions / FAQ
Who is ByteRover Team Memory for?
It is for developers using MCP-enabled coding agents who want ByteRover-style team memory for Codex workflows with structured logging from a remote server.
When should I use ByteRover Team Memory?
Use it while setting up agent-tooling in Build when you need durable recall across tasks, handoffs, or multi-day feature work with OpenAI Codex or similar clients.
How do I add ByteRover Team Memory to my agent?
Add remote MCP https://byterovermemory.clauxel.com/mcp, configure the Authorization header with a Bearer token from the product website, and enable the server in Codex, Claude Code, or Cursor per your client’s remote MCP docs.