neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Run claude-code, codex and pi in a sandbox with one command, on macOS, Linux, cloud containers and docker.
No version has been released yet. Until 1.0.0, build agentrun from source with cargo build --release, as described in the Install section below.
A program that needs a coding agent calls agentrun with a runtime and a prompt. The command is the same on a macOS or Linux machine, in a cloud managed container and in a docker container. agentrun handles the rest:README 전문 보기 ↗Run claude-code, codex, pi and dsh in a sandbox with one command, on macOS, Linux, cloud containers and docker.
A program that needs a coding agent calls agentrun with a runtime and a prompt. The command is the same on a macOS or Linux machine, in a cloud managed container and in a docker container. agentrun handles the rest:
--network allows it.--timeout, 4 when it went over --max-turns or --max-tokens, and 130 or 143 when agentrun was interrupted.agentrun doctor runs the same checks on their own, and every failed check says what to fix.| Runtime | Command | Minimum version |
|---|---|---|
| claude-code | agentrun claude-code | 2.1.288 |
| codex | agentrun codex | 0.159.2 |
pi (npm package @earendil-works/pi-coding-agent) | agentrun pi | 1.0.1 |
dsh, DeepSeek Harness (npm package @deepseek-ai/dsh) | agentrun dsh | 0.2.1-rc.2 |
| Environment | Sandbox | What the caller adds |
|---|---|---|
| macOS | Seatbelt, part of the system | nothing |
| Linux | bubblewrap (bwrap); claude-code, pi and dsh also need socat | nothing |
| Cloud managed container, such as Claude Code on the web | bubblewrap, as on Linux; the container needs bwrap and socat and must allow user namespaces | nothing |
| docker container | none, because a default docker container cannot create user namespaces; the container is the isolation boundary | --sandbox off, or AGENTRUN_SANDBOX=off |
codex uses its own sandbox on both macOS and Linux. agentrun does not detect which environment it runs in: before every run it starts the sandbox once, and with the default --sandbox on it refuses to run when the sandbox cannot start.
agentrun is a single executable for macOS and Linux on x86_64 and arm64. Windows is not supported.
Download a release file. Replace linux-x86_64 with linux-arm64, macos-arm64 or macos-x86_64 to match your machine:
VERSION=1.0.1
FILE=agentrun-$VERSION-linux-x86_64
curl -LO https://github.com/yhnocoder/agentrun/releases/download/v$VERSION/$FILE
chmod +x $FILE
mkdir -p ~/.local/bin
mv $FILE ~/.local/bin/agentrun
If ~/.local/bin is not in your PATH (it is not by default on macOS), add export PATH="$HOME/.local/bin:$PATH" to your shell's startup file.
On macOS, a file downloaded with a browser carries the quarantine attribute and the system refuses to run it. Remove the attribute after moving the file:
xattr -d com.apple.quarantine ~/.local/bin/agentrun
Install with cargo-binstall. It downloads the release file for your machine into ~/.cargo/bin without compiling:
cargo binstall agentrun
Build from crates.io with the Rust toolchain:
cargo install agentrun --locked
Build from source:
git clone https://github.com/yhnocoder/agentrun
cd agentrun
cargo build --release
cp target/release/agentrun ~/.local/bin/
On Linux, install the sandbox tools:
# Debian, Ubuntu
sudo apt-get install -y bubblewrap socat
# Fedora
sudo dnf install -y bubblewrap socat
Ubuntu 23.10 and later do not allow ordinary programs to create user namespaces by default, so bwrap fails to start until it has its own AppArmor profile. The steps are in Sandbox and network.
Install and log in to the runtimes following their own documentation. agentrun finds them in PATH and uses the existing login. In a container without the user's login files, pass the login through environment variables, as described in the user guide.
Check the environment first. Each line is one check of one runtime:
$ agentrun doctor claude-code pi
[ok] claude-code executable /opt/node22/bin/claude 2.1.303
[ok] claude-code login oauth_token
[ok] claude-code sandbox bubblewrap: wrote inside, blocked outside
[skip] claude-code network --network none
[ok] pi executable /opt/node22/bin/pi 1.2.0
[ok] pi login deepseek/deepseek-flash (from pi settings)
[ok] pi sandbox bubblewrap: wrote inside, blocked outside, pi started
[skip] pi network --network none
Run an agent in the current directory. When standard output is a terminal, agentrun shows the rich format by default: completed steps scroll above a status bar that shows the model, the running tool, the elapsed time and the token usage. This is the screen while claude-code is running:
$ agentrun claude-code --prompt "Create hello.txt that contains the word hello, then reply in one short sentence"
[main] prompt Create hello.txt that contains the word hello, then reply in one short sentence
[main] tool Write: hello.txt
[main] text I created `/tmp/demo/hello.txt` containing the word "hello".
───────────────────────────────────────────────────────────────────────────────
⠇ main claude-sonnet-5-5 0:03 in 16.3k cached 76% ctx 16.3k
When the run ends, the status bar is replaced by the end line:
[end] finished 5.2s in 33.6k out 0.1k cached 85%
--format text writes the same lines without the status bar. The label in brackets names the agent: main is the main agent, and a subagent is shown by its type and a number. The [end] line gives the result, the duration and the token usage.
$ agentrun pi --format text --prompt "Count the lines in hello.txt with wc, then reply in one short sentence"
[main] prompt Count the lines in hello.txt with wc, then reply in one short sentence
[main] tool bash: wc -l hello.txt
[main] text hello.txt contains 1 line.
[end] finished 5.2s in 4.5k out 90 cached 91%
--format jsonl writes one JSON event per line, for programs that call agentrun. It is the default when standard output is not a terminal. The start event records the sandbox, the network mode and the full command of the runtime; the network event shows that pi reached its model service through the filter proxy; tool_start and tool mark the start and the end of each tool call; the end event gives the status and the total usage.
$ agentrun pi --format jsonl --prompt "Count the lines in hello.txt with wc, then reply in one short sentence"
{"schema":1,"type":"start","time":"2026-10-19T05:29:48.458Z","runtime":"pi","sandbox":"bubblewrap","network":{"mode":"none","allow":[],"enforced":true},"model":null,"cwd":"/tmp/demo","argv":["/usr/bin/bwrap","--ro-bind","/","/","--bind","/tmp/demo","/tmp/demo","--bind","/tmp/agentrun-fPmB32","/tmp/agentrun-fPmB32","--bind","/root/.pi/agent","/root/.pi/agent","--ro-bind","/root/.pi/agent/settings.json","/root/.pi/agent/settings.json","--dev","/dev","--proc","/proc","--die-with-parent","--unshare-net","--","/bin/sh","-c","\"$0\" \"TCP-LISTEN:$1,bind=127.0.0.1,fork,reuseaddr\" \"UNIX-CONNECT:$2\" 2>/dev/null & shift 2; exec \"$@\"","/usr/bin/socat","37051","/tmp/agentrun-fPmB32/proxy.sock","/opt/node22/bin/pi","-p","--mode","json","--no-session","--no-extensions","--no-skills","--no-prompt-templates","--no-themes","--no-context-files","--no-approve","--offline","--tools","read,bash,edit,write,grep,find,ls"],"env":[]}
{"schema":1,"type":"prompt","time":"2026-10-19T05:29:49.069Z","text":"Count the lines in hello.txt with wc, then reply in one short sentence"}
{"schema":1,"type":"network","time":"2026-10-19T05:29:49.126Z","host":"api.deepseek.com","port":443,"allowed":true,"reason":null}
{"schema":1,"type":"usage","time":"2026-10-19T05:29:50.542Z","parent":null,"model":"deepseek/deepseek-flash","input_tokens":165,"output_tokens":58,"cache_read_tokens":2048,"cache_write_tokens":0,"cost_usd":0.000131388,"context_tokens":2213}
{"schema":1,"type":"tool_start","time":"2026-10-19T05:29:50.543Z","id":"call_00_ET_V4pqYzPmAOG7TLWwYrGs7501","parent":null,"name":"bash","summary":"bash: wc -l hello.txt"}
{"schema":1,"type":"tool","time":"2026-10-19T05:29:50.561Z","id":"call_00_ET_V4pqYzPmAOG7TLWwYrGs7501","parent":null,"name":"bash","summary":"bash: wc -l hello.txt","denied":false,"error":false}
{"schema":1,"type":"text","time":"2026-10-19T05:29:51.471Z","parent":null,"text":"hello.txt contains 1 line."}
{"schema":1,"type":"usage","time":"2026-10-19T05:29:51.471Z","parent":null,"model":"deepseek/deepseek-flash","input_tokens":239,"output_tokens":8,"cache_read_tokens":2048,"cache_write_tokens":0,"cost_usd":0.000093588,"context_tokens":2287}
{"schema":1,"type":"end","time":"2026-10-19T05:29:51.565Z","status":"finished","exit_code":0,"detail":"","duration_ms":3119,"usage":{"input_tokens":404,"output_tokens":66,"cache_read_tokens":4096,"cache_write_tokens":0,"cost_usd":0.000224976,"by_model":{"deepseek/deepseek-flash":{"input_tokens":404,"output_tokens":66,"cache_read_tokens":4096,"cache_write_tokens":0,"cost_usd":0.000224976}}},"result":"hello.txt contains 1 line."}
codex takes the same options:
agentrun codex --prompt "Count the lines in hello.txt with wc, then reply in one short sentence"
See CONTRIBUTING.md.
Licensed under either of
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in agentrun by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.