Details
- Author
- MCmarlon-chaviano
- Platforms
- ✓ macOS · ✓ Linux
- Badge
ai-agent-python
A tool-using AI agent in Python with LangChain v1 and LangGraph: typed tools, any model provider, the LangGraph dev server and tests that don't spend tokens.
The stack
Its name, which agents, and which package manager.
Agents
Pick the pieces; your agent gets the rule to use only these.
Observability
Code quality
Continuous integration
31 will be installed for your agent.
The CLI's exact steps with these options, in order. It shows them again and waits for your yes before running anything.
13 commands9 filesfirst commit
$ mkdir ai-agent-python && cd ai-agent-python && python3 -m venv .venv$ .venv/bin/pip install langchain langgraph langchain-anthropic python-dotenv$ .venv/bin/pip install pytest 'langgraph-cli[inmem]'$ .venv/bin/pip freeze > requirements.txtFor your agent
31 skills and the project's rules in AGENTS.md.
Ready in
~1 min
Measured in CI with the defaults, including the install and the first build. Faster with a warm package cache.
Its name, which agents, and which package manager.
Agents
Pick the pieces; your agent gets the rule to use only these.
Observability
Code quality
Continuous integration
31 will be installed for your agent.
The CLI's exact steps with these options, in order. It shows them again and waits for your yes before running anything.
13 commands9 filesfirst commit
$ mkdir ai-agent-python && cd ai-agent-python && python3 -m venv .venv$ .venv/bin/pip install langchain langgraph langchain-anthropic python-dotenv$ .venv/bin/pip install pytest 'langgraph-cli[inmem]'$ .venv/bin/pip freeze > requirements.txt