neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
Build internal tools and AI agents in Go — or just download and run Claude / Codex / Gemini as a Slack + Telegram + web agent host. No copy-pasting. You own the code.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Build internal tools and AI agents in Go — or just download and run Claude / Codex / Gemini as a Slack + Telegram + web agent host. No copy-pasting. You own the code.
1. Run AI Agents — no Go, no framework
Want Claude / Codex / Gemini as a Slack bot, Telegram bot, or web assistant? Just download the binary.
The binary supports two modes — pick one:README 전문 보기 ↗Build internal tools and AI agents in Go — or just download and run Claude / Codex / Gemini as a Slack + Telegram + web agent host. No copy-pasting. You own the code.
Two ways to use wick:
Want Claude / Codex / Gemini as a Slack bot, Telegram bot, or web assistant? Just download the binary.
# Linux / macOS / Termux — auto-detects OS + arch
curl -fsSL https://yogasw.github.io/wick/install.sh | sh
wick-agent server # web UI at http://localhost:9425 — creds auto-generated on first run
# Windows
iwr -useb https://yogasw.github.io/wick/install.ps1 | iex
# Docker — single-container: HTTP + cron in one process
docker run -d \
-p 9425:9425 \
-v wick-agent-data:/root/.wick-agent \
ghcr.io/yogasw/wick-agent:latest all
The binary supports two modes — pick one:
| Mode | Command | Best for |
|---|---|---|
| System tray | wick-agent (no args) | Desktop — right-click menu, icon shows state, auto-start on login |
| Headless | wick-agent server | Remote server / Docker — no GUI, logs to stdout |
Then in the web UI (/tools/agents):
default is created automatically)Every Bash command the agent runs goes through the Command Gate — whitelist globs or escalate to interactive 4-mode approval (Approve once / This session / Always / Block), audited to JSONL.
# Install wick CLI (needs Go installed)
go install github.com/yogasw/wick@latest
wick init my-app
cd my-app
wick dev # http://localhost:9425
The
install.sh/install.ps1scripts above installwick-agent(the runtime binary), not thewickCLI used for scaffolding. For development you needgo install.
Open my-app/ in Claude Code and prompt what you need:
add a tool called "base64" that encodes and decodes text
add a background job that syncs data from our API every 30 minutes
add a connector for GitHub with list_repos and create_issue operations
Claude writes real Go files in your repo — you own everything. git diff to review, git revert to undo.
my-app/
├── main.go # register tools, jobs, and connectors here
├── AGENTS.md # Claude reads this — framework conventions
├── .claude/skills/ # bundled AI skills (tool-module, job-module, connector-module)
├── wick.yml # task runner config
├── tools/
│ ├── convert-text/ # example tool (UI page)
│ └── external/ # external link cards
├── jobs/
│ └── auto-get-data/ # example background job
├── connectors/
│ └── crudcrud/ # example connector (LLM-facing via MCP)
└── tags/
└── defaults.go # shared tag catalog
You write business logic. Wick handles everything else:
| You write | Wick provides |
|---|---|
func Register(r tool.Router) | Admin UI, tag-based access, runtime config editing |
func Run(ctx) (string, error) | Cron scheduler, job history, run/retry UI |
func Operations() []connector.Op | MCP endpoint, per-call audit log, OAuth + PAT auth |
| Type | Audience | Entry point | URL |
|---|---|---|---|
| Tool | Humans (web UI) | Register(r tool.Router) | /tools/{key} |
| Job | Scheduler | Run(ctx) (string, error) | /jobs/{key} |
| Connector | LLMs via MCP | Operations() | /mcp |
| Agents | Slack / Telegram / Web | built-in | /tools/agents |
| Command | What it does |
|---|---|
wick dev | Generate templ + CSS, start server |
wick server | Start HTTP server only |
wick worker | Start background job worker |
wick all | HTTP + cron in one process (single-node deploys) |
wick build | Compile binary with version metadata |
wick test | Run go test ./... with coverage |
wick skill sync | Refresh bundled AI skills after upgrade |
→ Framework docs · AI Quickstart
See CONTRIBUTING.md or the Contributing guide.
MIT