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
- `ContextHubBackend` `grep` treats the literal pattern as a regex — errors on `(`, false matches on `.`, silent misses on `$`
- grep glob filter has different semantics on every backend - **/*.py (the documented example) matches nothing on the default StateBackend
- feat(code): background refresh for `@` file completion cache
- feat(code): `skills install` for prebuilt LangChain/LangSmith skills
- Filesystem `read_file` can checkpoint invalid or oversized multimodal image blocks
- feat(code): show model reason on tool approval prompts
- Add an "expose-all" PTCOption sentinel and log dropped PTC tool names
- Add structured payload support for subagent task calls
- feat: add Landlock-confined shell backend for filesystem sandboxing
- Add `LocalThreadSession`
- Docs
- Python not yet supported