Deep Agents introduced user-scoped memory to isolate long-term memory per user in shared AI agents, preventing preference leakage between users. The implementation uses a namespace based on the user I…
Vercel's AI SDK harness layer now supports Cline, an AI coding agent, through the official adapter @ai-sdk/harness-cline, developed with the Cline team. Cline runs fully in the host process, using the…
Deep Agents introduces FilesystemPermission rules that let developers control which paths an AI agent's built-in filesystem tools can access and how. A guide with three Python examples demonstrates ho…
Deep Agents, an open-source framework, provides a middleware stack that handles context windows, interrupted tool calls, task tracking, sub-agents, and file management automatically. The middleware ru…
A developer built a DIY Claude Code agent using LangChain's Deep Agents library and published a follow-up post adding evaluation, observability, and rollback capabilities. The post introduces an eval …
Enterprise AI agents are runtime products requiring a control plane, API, release path, rollback story, and ownership for regulated workflows. Focused Labs highlights the NemoClaw Deep Agents Blueprin…
NVIDIA and LangChain released NemoClaw for LangChain Deep Agents, an open framework combining NVIDIA's Nemotron 3 Ultra model and OpenShell runtime with LangChain's Deep Agents orchestration to help e…
Nvidia and LangChain released the NemoClaw for LangChain Deep Agents blueprint on July 8, combining Nvidia's Nemotron 3 Ultra model with LangChain's Deep Agents framework to achieve benchmark-leading …
LangChain's Deep Agents framework provides each AI agent with a filesystem, but developers must choose where that filesystem resides—in memory, on disk, or in durable storage—a decision that significa…
AI SDK 7 ships a provider-agnostic foundation for production agents, introducing four primitives that eliminate per-provider boilerplate: typed tool context, runtime context, file/skill uploads, and M…
Vercel released AI SDK 7, a major update to its TypeScript SDK for building AI applications, adding production-grade features for agent development, including reasoning control, tool context, runtime …
Vercel's AI SDK Harness now supports Deep Agents and OpenCode, allowing developers to run multiple coding-agent runtimes through a unified interface without changing application code. The new adapters…
LangChain co-founder Harrison Chase argues that AI agents can learn at three distinct layers—model, harness, and context—but most teams focus only on retraining the model. The harness layer, which opt…
AWS and LangChain released Deep Agents with Bedrock AgentCore, enabling developers to build context-rich research agents that delegate deep work to isolated subagents. The solution spawns specialized …
BeamWeaver, a new Elixir library, has been released to provide LangChain and LangGraph-style AI agents and durable LLM workflows natively on the BEAM. The library offers agents, graph workflows, strea…
At the AI Conf 2026 in Moscow, the industry has fully shifted away from traditional machine learning toward agents, RAG, and voice systems, with agent orchestration emerging as the new infrastructure …