jif-oai
5730615e75
## Why Large memories trees do not fit well into a single MCP `list` response. This change makes the memories MCP server page `list` results so callers can continue walking the tree without overfetching or relying on ambiguous truncation. ## What changed - add an optional `cursor` input to the memories MCP `list` API and return `next_cursor` alongside `truncated` in the response - paginate recursive local-memory traversal while preserving lexicographic path order across directories - reject malformed and out-of-range cursors as invalid MCP requests - update the server/schema wiring and add coverage for pagination, ordering, and cursor validation in `memories/mcp/src/local_tests.rs` ## Testing - `cargo test -p codex-memories-mcp`
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.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
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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codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
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- 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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Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
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You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.