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Stories tagged "Mcp And Agents". How ratings work →

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Mcp And Agents Vendor-reported

LangChain releases v1.3.14 with retry and error middleware improvements

LangChain version 1.3.14 introduces two new features: a retry middleware that only retries retryable exceptions in ToolRetryMiddleware, and a new ToolErrorMiddleware. These changes aim to improve error handling in tool execution.

Source: GitHub — LangChain · 1 source · 16 Jul 2026

Mcp And Agents Vendor-reported

Google Announces New Capabilities for Managed Agents in Gemini API

Google has announced new capabilities for Managed Agents in the Gemini API, including support for background tasks and remote MCP (Model Context Protocol). These features aim to help developers build more reliable and production-ready agents.

Source: Google AI Blog · 1 source · 7 Jul 2026

Mcp And Agents Vendor-reported

Comparison of RAG, Graph RAG, and Agentic RAG Approaches

The source discusses three methods for connecting large language models to external data: traditional RAG, Graph RAG, and Agentic RAG. It provides a comparative overview of these approaches.

Source: ByteByteGo · 1 source · 27 Jun 2026

Mcp And Agents Vendor-reported

Ex-Meta L8 Engineer Shares Agentic Engineering Workflow

An ex-Meta L8 engineer published a blog post detailing their personal setup for building AI agents, including tools and practices that improved their productivity. The post offers practical tips for developers working on agentic systems.

Source: ByteByteGo · 1 source · 23 Jun 2026

Showing 5 published "Mcp And Agents" stories. Stories are reviewed before publication. See methodology →

Community Signals

Unverified posts from social media. These are discovery leads, not evidence. They have not been reviewed and may be inaccurate.

X COMMUNITY SIGNAL Not checked

A social media post from the account intern_lm on platform X has been flagged for review. The post's URL and content are pending evaluation.

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Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

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Today, we’re announcing Bonsai 27B: the first 27B-class model to run on a phone. Bonsai 27B is the new multimodal flagship of the Bonsai family. Based on Qwen3.6 27B, it brings a new capability tier to local AI: multi-step reasoning, structured tool use, long-context workflows, and coherent agentic loops.

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Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.

@Alibaba_Qwen (@Alibaba_Qwen) Open original →
Reddit COMMUNITY SIGNAL Not checked

Chinese AI Models Seize OpenRouter’s Top Five as OpenAI and Google Vanish From the Top 10

u/etherd0t (u/etherd0t) Open original →
Reddit COMMUNITY SIGNAL Not checked

As far as cost per intelligence goes, it seems the order is Sol high, Sol xhigh, Sol Medium, Luna Max, Luna xhigh. Low value per intelligence are Sol max and Luna high. debate ensues with users arguing the best setting for codex

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