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(code): find editor launchers like `code.cmd` on Windows
- feat(sdk): record subagent `checkpoint_ns` via middleware and return it on the `task` ToolMessage
- chore(deps): raise dependency minimums
- feat(sdk): record the subagent's checkpoint namespace on the `task` tool message via middleware
- dcode's Ctrl+G editor doesn't open on Windows when EDITOR is `code`
- `ModalSandbox` uses a no-longer-supported Modal Sandbox Filesystem API
- SummarizationMiddleware history offload appends via whole-file edit — breaks on read/write view asymmetry, wasted CAS, quadratic payload
- fix(code): keep compaction feedback and offload usage when summaries don't stream
- feat(quickjs): add `writeFile`, `readdir`, `access`, and `rm` to `fs`
- feat(sdk): return raw `read_file` and `ls` results and error codes as tool artifacts
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- Python not yet supported