dkondo/agent-tackle-box — A toolkit for developing AI agents, including agent-debugger: Terminal debugger for LangGraph & Lang…

Description and use

The **agent‑tackle‑box** is an open‑source toolkit for building and debugging AI agents, featuring a powerful terminal‑based debugger that works with LangGraph and LangChain agents. It lets developers inspect agent state, monitor tool calls, set semantic breakpoints, and step through Python code—all within a single Textual UI—making the development, testing, and orchestration of LLM‑driven agents faster and more transparent.

Problem

dkondo/agent-tackle-box helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

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.

Source