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# New in Deep Agents v0.6

**[LangChain](https://daily.dev/sources/langchain)** · 11 min read · 0 upvotes · 0 comments

## Summary

Deep Agents v0.6 ships five major features focused on performance and scalability. A new code interpreter enables Programmatic Tool Calling (PTC) and recursive workflows, letting agents compose tools and manage state without routing every step through the model. Harness profiles provide per-model tuning that unlocks production-grade performance from open-weight models like Kimi, Qwen, and DeepSeek at 20x+ lower cost than closed frontier APIs. Streaming v3 introduces typed, subscribable event projections for messages, tool calls, and subagents, with frontend integrations for React, Vue, Svelte, and Angular. Delta channels replace full-snapshot checkpointing with diff-based storage, reducing checkpoint size by up to 100x for long-running agents (5.27 GB down to 129 MB in a 200-turn coding session example). Finally, ContextHubBackend provides a versioned, LangSmith-backed filesystem for storing agent skills, policies, and memories across runs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.langchain.com/blog/deep-agents-0-6>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#langgraph](https://daily.dev/tags/langgraph)

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