jif-oai
fa127be25f
## Why Phase 2 still needs to choose the most relevant stage-1 memory outputs by usage and recency, but exposing that ranking as the rendered `raw_memories.md` order creates unnecessary large diff. Usage-count or timestamp changes can reshuffle otherwise unchanged memories, making the workspace diff noisy and giving the consolidation prompt a misleading recency signal from file position. This fix will reduce token consumption ## What Changed - Keep the existing top-N Phase 2 selection ranking by `usage_count`, `last_usage`, `source_updated_at`, and `thread_id`. - Return the selected rows in stable ascending `thread_id` order before syncing Phase 2 filesystem inputs. - Update the memory README, raw memories header, and consolidation prompt so they describe the stable order and tell the prompt to use metadata and workspace diffs instead of file order as the recency signal. - Adjust the memory runtime tests to use deterministic thread IDs and assert the stable return order separately from the ranked selection semantics. ## Test Coverage - Existing memory runtime tests in `codex-rs/state/src/runtime/memories.rs` now cover the stable returned ordering for Phase 2 inputs. --------- Co-authored-by: Codex <noreply@openai.com>
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
Then simply run codex to get started.
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
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
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.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
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.