Very cool to see Pi build a durable agent harness too. I've been building in this space for quite some time myself [0][1] and it is a super interesting place of innovation. Less hype-y that on-your-machine coding agents, but all major players are building products in this space: LangChain Deep Agents, Vercel Eve, OpenAI Agents API, Anthropic Managed Agents, etc.

The main reasons are:

1) they are "durable", i.e. easier to make long-running in an unattended way, and easier to implement recovery, monitoring, etc

2) separating the harness from the compute brings safety and scaling benefits

3) easier to make multi-player.

[0] https://github.com/smartcomputer-ai/lightspeed

[1] https://github.com/smartcomputer-ai/agent-os/

Brilliant. I wish the the durable application state wasn't restricted to just the json documents though. There should be some sort of integrated way of implementing the outbox pattern so external stores can be synchronized with the conversation state.

Nice! I made my own version of this for Pi but I’m excited to see if I can just replace it lol

> The entire source code, without tests, is about 15,000 lines, which comes out to about 150,000 tokens with GPT and about 250,000 with Claude.

Woah, that big of a difference when it comes to token counting?