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LangChain launches Managed Deep Agents v0.8, adding features like user-owned credentials, user-level memory, HTTP channels, and a web search tool to improve agent deployment in production.
Managed Deep Agents 0.8 enhances the Slack experience with improved permissions, file handling, and search capabilities for streamlined workflows.
Discusses the benefits of using managed agents for running coding agents globally, highlighting features like session resumption, forking, parallel execution, and environment reuse, with examples using tools like Claude Code and Codex.
Google AI releases a new version of Gemini managed agents with up to 30% lower costs, improved caching, a Files API for file management, and a Credentials API for secure access to external services, including a free tier for experimentation.
LangChain announces that users can connect a Managed Deep Agent to Slack, allowing mentions, DMs, and thread replies to trigger agent runs with responses posted in the same conversation.
The article introduces 'Connections,' a feature in Managed Deep Agents that enables managed credentials and per-caller identity for secure agent actions, supporting both static secrets and OAuth grants.
LangChain announces new Connection features in Managed Deep Agents 0.7, providing simple agent authentication with support for agent and user credentials to streamline deployment.
OpenAI is preparing to unveil managed agents at its upcoming DevDay 2026 event, following Anthropic's lead, with potential applications for businesses and a significant shift in advertising by linking ads directly to agents.
Managed Agents from Google AI Studio allows developers to easily test Gemini 3.8 Flash in an agentic environment with a dedicated remote sandbox, featuring support for multiple programming languages, network access, and automation capabilities.
Google announced updates to Managed Agents in the Gemini API, including a default to the Gemini 3.6 Flash model, environment hooks for tool call auditing, budget controls, scheduled triggers, and free tier access.
Announces a new feature for managed agents instancing, enabling more efficient deployment and scaling of AI agents.
Google is expanding Managed Agents in the Gemini API with new capabilities including background execution, remote MCP server integration, custom function calling, and credential refresh, enabling more reliable and production-ready agents.
A new tool provides a simpler way to build a Slack agent using only three API calls, serving as an alternative to Claude's managed agents.
Google's Interactions API for Gemini models and agents is now generally available, introducing managed agents, background execution for long-running tasks, and upcoming Gemini Omni support.
Google launched Managed Agents in the Gemini API, allowing developers to create AI agents with reasoning, tool use, and code execution in isolated Linux environments via a single API call.
Introduces two feedback-loop-based iteration methods in AI models: Claude Code's /goal mode triggers the next cycle when the goal is not achieved, while Managed Agents Outcomes relies on an independent grader sub-agent to score and correct.
Claude Managed Agents can now operate in a user-controlled sandbox on your own infrastructure, with new integration guides for Blaxel AI, e2b, Google Cloud, Namespace Labs, and Superserve AI.
Anthropic introduces Claude Managed Agents, a set of composable APIs for building and deploying production-grade agents, addressing infrastructure challenges that separate prototypes from production.
Google announces the official launch of Managed Agents in the Gemini API, enabling agent development with zero infrastructure overhead. The article also highlights AGENTS.md, an open format for providing context to AI coding agents, adopted by over 60k open-source projects.
Anthropic's new 'Dreams' feature for Managed Agents addresses memory degradation by running background maintenance passes, signaling industry acknowledgment that memory maintenance is the core challenge, not storage.