
Deep Agents v0.7 introduces a lightweight, configurable base harness that reduces input tokens by 65% while maintaining performance, focusing on context engineering and prompt optimization. The new harness improves token and cost efficiency, achieving reward stability across benchmarks, particularly for gpt-5.6-luna, with significant reductions in both token and cost usage. It offers full control over prompts and middleware stacks, enhancing customization and flexibility, while improving filesystem performance with optimized operations and tool enhancements.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
