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
- fix(sdk): keep blank read windows out of the empty-file warning
- fix(sdk): stop the overflow clip from dropping media and over-clipping
- Optional clarify-before-draft for vague `/goal` criteria
- Upstream `ReliableRubricMiddleware` hooks into `RubricMiddleware`
- fix(code): let a bound "yes" authorize the exact proposed action
- feat(code,evals): inject goal/rubric context and drop `get_goal`/`get_rubric`
- fix(sdk): make `BackendProtocol.glob` recursive for bare patterns
- `glob()` recursion semantics differ across backends: FilesystemBackend (recursive) vs StoreBackend/StateBackend (non-recursive)
- Summarization overflow fallback (`_slice_read_file_tm`) silently drops image blocks from `read_file` tool results
- `read_file` reports a non-empty file as "File exists but has empty contents" when the requested line range is blank
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- Python not yet supported