Very cool! Excited to incorporate this into https://toolkami.com which is built upon RLM. Thanks for the great work!

Thanks for the kind words! Looks cool!

Am excited about RLM too! That's why I built https://toolkami.com so that people can try it easily for agentic workflows.

Working on https://toolkami.com that enables plug and play Recursive Language Model for increased context size and better recall.

Sandboxing is going to be of growing interests as more agents go “code mode”.

Will explore this for https://toolkami.com/, which allows plug and play advanced “code mode” for AI agents.

If I were to add, "winter" is the best time to find snow, and there is enough snow for everyone.

In some large western cities, snow has a second meaning.

Taking that meaning and the VC money required for the inflationary marketing, is probably closer to reality.

Not surprised OpenAI is not there, I struggled so much with telemetry in Codex that I had to build my own one Codex Plus (https://github.com/aperoc/codex-plus) -_-

Seems like it can be a standard the project can adopt.

These can also be observed through OTEL telemetries.

I use headless codex exec a lot, but struggles with its built-in telemetry support, which is insufficient for debugging and optimization.

Thus I made codex-plus (https://github.com/aperoc/codex-plus) for myself which provides a CLI entry point that mirrors the codex exec interface but is implemented on top of the TypeScript SDK (@openai/codex-sdk).

It exports the full session log to a remote OpenTelemetry collector after each run which can then be debugged and optimized through codex-plus-log-viewer.

This looks pretty cool, nice UI too. Gonna take it for a spin.

Using https://github.com/aperoc/toolkami which just spins up a worktree with pre-configured Docker containers.

Sad that a lot of these are for Claude Code and not Codex which I uses more, so I started https://github.com/aperoc/codex-plus which has telemetry built-in, now moving to build a Ralph loop on top of it.

UV script enabled me to distribute a MCP client or server in a single file[0].

[0]: https://blog.toolkami.com/mcp-server-in-a-file/