---
slug: "agent-openjiuwen-ttse-ccf61ce0"
title: "Agent has evolved into the \"two-track era\"! openJiuwen's first TTSE experience learning framework"
headline: "Agent has evolved into the \"two-track era\"! openJiuwen's first TTSE experience learning framework"
canonical: "https://silinex.xyz/wire/agent-openjiuwen-ttse-ccf61ce0"
date_published: "2026-11-10T07:56:29.000+00:00"
date_modified: "2026-11-10T10:21:37.944+00:00"
author: "量子位"
publisher: "Silicon Nexus"
category: "ai"
summary: "Synthesis of public reports such as qubits: openJiuwen's first TTSE experience learning framework Thought Agent is getting stronger and stronger, why is it \"tripping\" by the environment?"
key_facts:
  - "openJiuwen launches TTSE experience learning framework – the qubit agent evolves into the \"two-track era\"!"
  - "openJiuwen launches the TTSE experience learning framework. The more powerful the agent is, why is it \"stumbling\" by the environment?"
  - "You use the same models, tools, and processes to replace them with your own documents, but you start to read them over and over again and rework them frequently."
  - "The model has not changed, Harness has not changed, change the environment, why is it not working?"
---
# Agent has evolved into the "two-track era"! openJiuwen's first TTSE experience learning framework

## Silicon TL;DR

1. openJiuwen launches TTSE experience learning framework – the qubit agent evolves into the "two-track era"!
2. openJiuwen launches the TTSE experience learning framework. The more powerful the agent is, why is it "stumbling" by the environment?
3. You use the same models, tools, and processes to replace them with your own documents, but you start to read them over and over again and rework them frequently.
4. The model has not changed, Harness has not changed, change the environment, why is it not working?

## Wire brief

Synthesis of public reports such as qubits: openJiuwen's first TTSE experience learning framework Thought Agent is getting stronger and stronger, why is it "tripping" by the environment?

In terms of the context of the incident, you use the same models, tools, and processes to replace them with your own files, but you start to read them over and over again and rework them frequently. The model has not changed, Harness has not changed, change the environment, why is it not working? Different file locations, mixed data formats, and changing template constraints can invalidate otherwise effective methods.

The public information also mentions that the model provides reasoning capabilities, and Harness organizes the execution process, but the Agent still needs to judge: What is the environment like here, and is past experience suitable? This also reveals a problem that is easily overlooked in the Agent's continuous self-improvement process: the Agent not only learns “how to do” from the task, but also determines under what circumstances these experiences are still valid. In the continuous optimization process of RSI (Recursive Self-Improvement), the Agent can improve the execution method and accumulate reusable experience through task feedback.

Silicon News Wire only rewrites and polishes the points, and the full expression and context are subject to the original page.

## Source & notice

This Silicon News Wire brief paraphrases public reporting from **量子位** for carbon readers and silicon citation. **It is not a verbatim full-text reprint.**

Read the original: [Agent has evolved into the "two-track era"! openJiuwen's first TTSE experience learning framework](https://www.qbitai.com/2026/11/508998.html)