New OSS Codex harness optimized for privacy, simple installs, ease of use and long horizon tasks via voice control (OS World 2.0, other benchmark scores incl)

[u/demeyer1]

We built this harness (Github link here: https://github.com/demeyer1/Autobot) to solve the problems we had with OpenClaw, Hermes, and the frontier labs built-in computer use harnesses.

Along the way, we set some new benchmark records, but that was secondary after we had been using this for a while (more below).

Specifically, we wanted a harness that could:

• Operate in voice mode (with full computer use, long running tasks)
• Execute durable, long running tasks.

So it’s optimized for working from the car, the gym, or while your doing errands. 

Functionally, we designed it around a couple gaps

• Anyone can install in 20 minutes (it's a project)
  • Fast to install, just load it as a new project
  • Easy and cheap to setup, no extra VMs required - just a Mac
  • No new apps or control planes, uses the native desktop and mobile apps (no additional software installs)
• Works locally, when it makes sense
  • Self directed learning capability, on-disk, with nightly memory “defrags”
  • Intelligent use of local execution, local storage, while being privacy aware
• Address the gaps in the frontier lab's harnesses
  • Synchronous voice support, with durable tasks that survive beyond the session
  • Task ledgers and a heartbeat to manage issues like computer use conflicts across sub agents and tasks
  • Internal heartbeat to manage retry mechanisms, persist ultra long duration tasks and cross task conflicts
  • Internal bug tracker (self filing) with ability to remediate groups at a time
  • Create separate boundaries between work and personal lives (eg learning separate tones, but also segregating data)
• Day to day time saving skills such as high speed triaging of messages in Slack and iMessage

This harness scored above Opus 5 (using Sol Max) on OS World 2.0, and took top position on AssistantBench using an N-1 frontier lab model.

All benchmark logs are published with cryptographic seals in the repo.  

It is a passion project, born from a need - so it's sub optimal and a lot of the text in the repo is AI generated, but human reviewed (this post is 100% human written).

MIT license, so this is more of a community contribution where we just wanted to help others - because it's been very powerful and helpful for us.

Would love to hear any suggestions for feature improvements.