A full-stack Agent Chat Runtime for pre-production validation, built with act, TypeScript, and LangGraph JS combin...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Universal
Model
Multiple
Fastest way to find out if chat-gun belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/HsienW/chat-gun ~/.claude/agents/chat-gunRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/chat-gunNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ chat-gun/ ← installs here └─ settings.json
A full-stack Agent Chat Runtime for pre-production validation, built with act, TypeScript, and LangGraph JS combining streaming, multimodal, HITL, and tools with durable Task/Step execution, retry budgets, idempotency, compensation, distributed locks, context governance, OpenTelemetry tracing, model fallback, cost tracking, and Opik evaluation.
Source: GitHub repository
Source check: October 12, 2026
Upstream commit: October 12, 2026
Repository state: Not marked archived
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