LangChain announces version 0.2 of DeepAgents, a Python package for building autonomous agents capable of complex, long-running tasks. The major update introduces pluggable backends that allow agents to use various filesystems (LangGraph state, local filesystem, S3) instead of just virtual storage. Additional improvements include automatic handling of large tool results, conversation history compression, and tool call repair. DeepAgents is positioned as an "agent harness" that sits above LangChain (agent framework) and LangGraph (agent runtime), providing built-in features like planning tools and filesystem access for developers building autonomous agents.
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Pluggable BackendsOther things in 0.2When to use deepagents vs LangChain, LangGraphSort: