But like, what is it? Odd that this reached #1 on HN. The README is pretty bare outside of installation instructions and a link to "Cordis", which is "A Meta-Framework of Spatiotemporal Composability." and "under active development. The API is not yet stable and may change without notice.".
New coding harness that seems to have some novel concepts and one of the pretty cool things on their landing page for it here: https://deepseek.com/harness/en/ is the Every Run is Traceable view:
"Everything the model sees is recorded in an append-only session log: system prompts, reasoning, tool calls and results, subagent scheduling, and every context injection. In the Trajectory view, you can inspect these records by source. Resume, fork, search, and replay all operate on the same event stream."
Seems pretty helpful - have sort of wanted something similar (I use Pi).
They also released this research paper that backs their whole plugin composability system that seems pretty cool: https://github.com/cordiverse/paper
Which are unavailable with the leading American models. You can't look at the complete traces of OpenAI or Anthropic model agents, as they are encrypted (there's been discussion of a couple of different ways to expose those, but that violates terms of service, and well, you shouldn't have to find complicated ways unencrypt your own usage logs).
I'm glad they're doing this also and that more people are adopting it. Event sourcing [0] is the right way to represent informaiton like tool calls, user interactions, etc. --- it makes it easy to fork conversations and maintain a cohesive conversation stream and stable message history that does not break the cache.
Quoting it in full so you don't stealth-edit your comment:
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I'm glad they're doing this also and that more people are adopting it. Event sourcing [0] is the right way to represent informaiton like tool calls, user interactions, etc. --- it makes it easy to fork conversations and maintain a cohesive conversation stream and stable message history that does not break the cache.
</quote>
why dont you mention that its your site instead of prenteding like something you discovered?
A harness is any wrapper around llm calls that manipulates llm interactions to achieve the process for which it is designed. Claude code et al are just one type of harness, focusing on writing code. The kind of UI used to interact with the harness and underlying models does not matter.
I thought the harness was mainly a TAI (tangible AGENT interface). Its a harness for the agent, not a user interface. That is bolted on top of the harness.
Fantastic tq I feel stupid because I’ve seen that for a while now. Do you know more about the autocompaction process? I could use some help there too with ghcp. I don’t see my context going up while abusing smaller context models with long inputs nor do I see a compaction indicator after turns.
You don’t think it’s because titanic battles are interesting and here’s a company that (a) gives you the weights to a frontier model for free, (b) publishes great papers with LLM architecture innovations, (c) is insanely cheap?
