ChatGPT or Claude Code
Authentication is available only through ChatGPT and Claude Code login.
Terminal agent · RLM-native
ASM Agent
Build with an agent that can inspect its own work.
ASM Agent is an RLM-native terminal harness for coding and research. It gives the model a persistent Python kernel, explicit tools and a workflow built around execution, observation and iteration.
Install ASM Agent ↓01 · Install ASM Agent
Install ASM Agent
Run the installer on macOS, Linux or Windows through WSL. The first launch prepares the Python kernel automatically.
curl -fsSL https://aletheionagi.com/asm-agent/install.sh | shPretrained assets
The standard installer downloads pretrained model assets. No local training is required.
Then start it in your project:
$ asm-agent02 · Core capabilities
One terminal.
A controlled execution loop.
Persistent kernel
Python state survives between steps, so the agent can keep findings, handles and intermediate results while it works.
RLM-native workflow
The model breaks work into steps, executes code, observes results and changes course when evidence requires it.
Extensible tools
Add skills, MCP integrations, prompt templates, extensions and reusable ASM Agent packages.
Supported login
Authentication is available only through ChatGPT and Claude Code login.
03 · Designed for real repositories
Inspect. Execute. Verify.
ASM Agent works inside your project instead of guessing from an isolated chat. It can read files, run project commands, edit code and inspect data through a persistent environment. You remain in control of the repository, credentials and changes.