deepagents
https://github.com/langchain-ai/deepagents
Python
Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks.
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- Issues
- `/log` command
- Why I got LLM output not match the current question but another one in the same session
- fix(code): own the turn spinner lifecycle at the app level
- `StateBackend` / `StoreBackend` `ls()` returns empty `LsResult` for missing paths (inconsistent with `FilesystemBackend`)
- `excluded_tools` doesn't fully exclude tools — system prompt still mentions them
- fix(sdk): unify `grep` include-glob semantics across backends
- perf(sdk): avoid checkpointing loaded memory and skills
- Don't format `read_file` and `grep` results when used in `CodeInterpreterMiddleware`
- One-shot dispatch to a configured agent
- Use configured custom agents as subagents
- Docs
- Python not yet supported