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
- `dcode --acp` does not advertise session selectors (model/mode)
- Surface `BaseStore` semantic search in `MemoryMiddleware` for retrieval-based memory
- CodeInterpreterMiddleware causes JSON serialization error due to bytes snapshot
- Support arbitrary/pluggable web search providers
- Subagent HITL interrupts fail to route to parent tool call in ACP
- `langchain-quickjs`: PTC tool spans are not nested under eval in LangChain traces
- `StateBackend` / `StoreBackend` `ls()` returns empty `LsResult` for missing paths (inconsistent with `FilesystemBackend`)
- Don't format `read_file` and `grep` results when used in `CodeInterpreterMiddleware`
- Add an "expose-all" PTCOption sentinel and log dropped PTC tool names
- feat: add Landlock-confined shell backend for filesystem sandboxing
- Docs
- Python not yet supported