dkondo

dkondo / agent-tackle-box

Public

A toolkit for developing AI agents, including agent-debugger: Terminal debugger for LangGraph & LangChain agents. Debug LLM agents with state inspection, tool calls, semantic breakpoints, and Python program stepping in one Textual UI.

github.comdkondoagent-tackle-box agent-debugger agent-development agent-development-environment ai-agents debugger
48
4
100% credibility
Found Feb 18, 2026 at 23 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A terminal interface for debugging AI agents by pausing execution, inspecting state, messages, tool calls, and code variables.

How It Works

1
🔍 Discover the debugging tool

You hear about a handy kit for troubleshooting AI assistants that shows what's happening inside them step by step.

2
📦 Add the tool

You easily add this debugging helper to your computer so it's ready to use anytime.

3
🚀 Launch your AI assistant

You start your AI helper program using the debugger, and a friendly screen opens up showing the chat and side panels.

4
⏸️ Set smart pauses

You tell the debugger where to pause—like when a specific action starts or a message changes—so you can peek inside.

5
🔍 Step through and inspect

You watch the AI think, check its memory, messages, actions taken, and even peek at the inner workings like a detective.

6
✨ Fix and test

You spot the problem, make a quick change, and keep going until everything runs smoothly.

✅ Perfect AI assistant

Your AI helper now works flawlessly, responding perfectly every time you chat with it.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 23 to 48 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is agent-tackle-box?

Agent-tackle-box is a Python AI toolkit on GitHub for developing agents, centered on agent-debugger—a terminal UI that debugs LangGraph and LangChain agents. It delivers agent-level views like state diffs, messages, tool calls, store snapshots, and semantic breakpoints (on nodes, tools, state changes) fused with Python debugging: line breakpoints, stepping, stack traces, and locals. Run it via `adb run my_agent.py` or `adb attach module:graph` to step through agent flows without separate tools.

Why is it gaining traction?

Unlike basic LangChain tracers or pdb, it unifies high-level agent inspection with code-level control in one Textual TUI, supporting drop-in `breakpoint()` calls and extensions for custom state/tool rendering. CLI flags hook in renderers/mutators for your agent’s data, with offline mocks or real LLMs via LiteLLM—no API keys needed for basics. Devs dig the `/break node agent` commands and live panels for tools, diffs, and variables.

Who should use this?

LangGraph devs wrestling agent state bugs, tool loops, or node conditionals during development. Perfect for solo agent builders or teams debugging production graphs, especially when you need to mutate state mid-session like `/clear memory` or inspect locals at semantic breaks.

Verdict

Strong pick for LangChain agent work—solves real debugging pain fast. With 16 stars and 1.0% credibility, it's alpha (good docs/tests but light adoption); prototype with it before prod.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.