Josh Rosen

@josharosen

Researching modern AI architectures: agents, factories, harnesses, context, evals, and data. Building ThruWire. Co-founder TopCoat (acq. by @snyksec)

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What is a Managed Deep Agent?

LangChain says an Academy team member covers how Managed Deep Agents differ from Deep Agents and how to get started.

6 Sources, 9h ago, updated 9h ago

LangChain adds support for Scaledown’s constrained decision models

LangChain says the integration works with Deep Agents and lets users trace every call through LangSmith LLM Gateway.

9 Sources, 6d ago, updated 6d ago

Deep Agents adds tool binding, pinning and reloading for agent skills

LangChain says bound tools stay hidden until an agent reads their skill, keeping unused tools out of context.

9 Sources, 13d ago, updated 13d ago

Jev and LangGraph for AI workflows that keep control in code

LangChain says Jev was 5–6x faster than Sonnet at classifying pages in its document-review demo, with LangGraph routing pages to an LLM or an attorney when needed.

9 Sources, 25d ago, updated 25d ago

Quail and the case for specialized AI-SQL inference

A user reports that a query took 6.84 hours with hand-tuned vLLM, versus a 15-minute “speed-of-light” estimate.

55 Sources, 17d ago, updated 17d ago

Using jev with agents

A user shares a guide they describe as explaining what makes jev special and how to use it with agents.

11 Sources, 27d ago, updated 27d ago

Featured in

What is a Managed Deep Agent?

LangChain adds support for Scaledown’s constrained decision models

Deep Agents adds tool binding, pinning and reloading for agent skills

Jev and LangGraph for AI workflows that keep control in code

Quail and the case for specialized AI-SQL inference

Using jev with agents

Featured in

What is a Managed Deep Agent?

LangChain adds support for Scaledown’s constrained decision models

Deep Agents adds tool binding, pinning and reloading for agent skills

Jev and LangGraph for AI workflows that keep control in code

Quail and the case for specialized AI-SQL inference

Using jev with agents