by dkondo · Agent Tool · ★ 49
agent-tackle-box A toolkit for developing AI agents. agent-debugger is a terminal debugger for LangGraph/LangChain agents. It combines agent-level visibility (state, messages, tool calls, store snapshots, and semantic breakpoints) with Python-level debugging (line breakpoints, stepping, stack, and locals) in one Textual UI. See projects/agent-debugger/README.md for full usage, commands, and extension details.
| Stars | 49 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 32.33/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-11 |
| Created | 2026-02-15 |
| Platforms | python |
| Est. Tokens | ~32k |
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agent-tackle-box is 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 p. It is categorized as a Agent Tool with 49 GitHub stars.
agent-tackle-box is primarily written in Python. It covers topics such as agent-debugger, agent-development, agent-development-environment.
You can find installation instructions and usage details in the agent-tackle-box GitHub repository at github.com/dkondo/agent-tackle-box. The project has 49 stars and 4 forks, indicating an active community.
agent-tackle-box is released under the MIT license, making it free to use and modify according to the license terms.