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
- langchain-quickjs: nested Pydantic schemas render as unknown in PTC signatures
- Summary input limit can produce a content-free compaction
- feat(code): offer summarized threads when cache expires
- quickjs: let `CodeInterpreterMiddleware` run the REPL inline on the caller's loop (loops that cannot be woken from another thread)
- quickjs: support `timeout=None` (no per-call deadline) in `CodeInterpreterMiddleware`
- feat(examples): add `create_agent` browser example
- fix(code): preserve JavaScript subagent costs across resume
- feat(evals): compare Harbor tool selectors
- feat(code): add isolated `/btw` side questions
- fix(code): own sandbox lifetime from the client in non-interactive runs
- Docs
- Python not yet supported