## Why The memories MCP `search` tool previously stopped once it hit `max_results`, so callers could tell there were more matches via `truncated` but had no way to fetch the rest of the result set. That made large searches awkward for clients that need to keep paging through a stable, deterministic view of the matches. ## What changed - add an optional `cursor` field to `SearchMemoriesRequest` / tool input and return `next_cursor` in `SearchMemoriesResponse` - update the MCP schemas and tool wiring so clients can request subsequent pages explicitly - change the local memories backend to collect and sort the full scoped match list, then slice the requested page and reject invalid cursors - add unit coverage for paginated search results and invalid cursor handling in `memories/mcp/src/local_tests.rs` ## Testing - Added targeted unit coverage in `memories/mcp/src/local_tests.rs` - GitHub Actions are running for the branch
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
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Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
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You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
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codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
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Docs
This repository is licensed under the Apache-2.0 License.
