Koboldcpp v1.120 ships DirectIO loading and Qwen 3.8-Flash-Next support. Build a FastMCP server that lets Claude Desktop discover, load, switch, and query local open-weight models through the MCP protocol.
Deepak BagadaAug 30, 2026
Tencent's Hunyuan team dropped a 770B-parameter Mixture-of-Experts model under Apache 2.0 with 1M-token context. At $0.834/M input tokens, it undercuts every proprietary frontier model while matching or exceeding their academic accuracy.
Nvidia paused its $36B AI Compute Partnership program after employees warned it could invite antitrust scrutiny. The program guaranteed GPU rentals to cloud providers in exchange for 50% of revenue above a base rate — giving Nvidia unprecedented control over its customers' pricing.
vLLM 0.28.0 ships 584 commits from 270 contributors with Decode Context Parallel, fused MLA kernels for Kimi-K3, DFlash2 speculative decoding, and tiered KV cache offloading. The context-length tax — where long contexts killed throughput — is over.
Tencent just dropped Hy4-preview: a 770B-parameter Mixture-of-Experts model under Apache 2.0 with 1M-token context. Here is how to deploy it locally with vLLM 0.28.0 and orchestrate a multi-agent workflow that routes tasks across 256 expert shards.
Faro AI powers structured clinical data for 6 of the top 10 pharma companies. Build a FastMCP server that exposes trial-protocol search, patient-cohort matching, and regulatory dossier generation as MCP tools for healthcare agents.
Tencent's Hunyuan team dropped a 770B-parameter Mixture-of-Experts model under Apache 2.0 with 1M-token context. At $0.834/M input tokens, it undercuts every proprietary frontier model while matching or exceeding their academic accuracy.
Nvidia paused its $36B AI Compute Partnership program after employees warned it could invite antitrust scrutiny. The program guaranteed GPU rentals to cloud providers in exchange for 50% of revenue above a base rate — giving Nvidia unprecedented control over its customers' pricing.
vLLM 0.28.0 ships 584 commits from 270 contributors with Decode Context Parallel, fused MLA kernels for Kimi-K3, DFlash2 speculative decoding, and tiered KV cache offloading. The context-length tax — where long contexts killed throughput — is over.
Stanford HAI's 2026 AI Index Report reveals transformative shifts: global investment hit $252B, organizational adoption reached 88%, and real-world agent success rates surged to 77.3%.
Tencent just dropped Hy4-preview: a 770B-parameter Mixture-of-Experts model under Apache 2.0 with 1M-token context. Here is how to deploy it locally with vLLM 0.28.0 and orchestrate a multi-agent workflow that routes tasks across 256 expert shards.
Nvidia paused its $36B AI Compute Partnership program after employees warned the arrangement could invite antitrust scrutiny. Build a multi-cloud GPU routing workflow that insulates your agent fleet from single-vendor dependency.
Faro AI's $37.3M Series B funds infrastructure to cut clinical-trial timelines by 50%. Build a multi-agent workflow that automates structured data extraction, patient-protocol matching, and regulatory dossier assembly.
OpenAI's Astra model is approaching critical cyber capability thresholds. Here are 5 production guardrail patterns that autonomous agent deployments must implement to detect and mitigate emerging cyber risks in real-time.
Koboldcpp v1.120 ships DirectIO loading and Qwen 3.8-Flash-Next support. Build a FastMCP server that lets Claude Desktop discover, load, switch, and query local open-weight models through the MCP protocol.
Faro AI powers structured clinical data for 6 of the top 10 pharma companies. Build a FastMCP server that exposes trial-protocol search, patient-cohort matching, and regulatory dossier generation as MCP tools for healthcare agents.
Tencent's Hy4-preview 770B model is available under Apache 2.0. Build a FastMCP server that exposes local Hy4 inference as an MCP tool for Claude Desktop and Cursor IDE.
Artiforge is not just another MCP server — it is a complete AI development toolkit. Build a FastMCP Python server that exposes code generation, test writing, refactoring, and documentation tools to Claude Desktop agents.
Microsoft open-sources Orchard on GitHub, decoupling agent training from inference execution to slash latency by 87% and eliminate memory thrashing across enterprise multi-agent swarms.
OpenAI confirmed it cannot rule out that Astra has critical-level cyber capabilities, triggering an unprecedented safety gate. The 10T-parameter model's release is now indefinite.
Your multi-agent system has a cache coherence problem. When three agents read and write shared state simultaneously, 34% of deployments experience silent data corruption.
When your agent crashes at step 8 of a 12-step workflow, you lose everything. This Temporal MCP Server gives agents durable execution that survives crashes, deployments, and network failures.
Build resumable DAG workflows in Pi CLI with pi-taskflow. 18 agents, 8 phase types, cross-session resume, zero dependencies. Complete guide with JSON DSL examples.
Deepak Bagada
Fact Density is the ratio of verifiable, unique information to the total word count of a piece of content. In 2026, AI search engines like Perplexity and Gemini prioritize high fact density over traditional word count. A...
Deepak Bagada
The A2A (Agent-to-Agent) protocol is a horizontal communication standard that allows AI agents from different frameworks to discover, delegate, and collaborate on tasks. Unlike the Model Context Protocol (MCP), which con...
Deepak Bagada
Multi-model tournament code review catches 85-92% of issues before merge. Claude Code dynamic workflows spawn 3-5 competing models. Complete setup guide with cost analysis.
Deepak Bagada
Claude Code dynamic workflows let Claude Opus 4.8 orchestrate 100+ parallel agents for codebase migration. The Bun Zig-to-Rust port of 750K lines completed in 11 days with 99.8% test pass rate. Step-by-step setup guide.
Deepak Bagada
The n8n 3-in-1 AI Automation Suite uses Claude 3.5 Sonnet and Gemini 1.5 Pro across 81 interconnected n8n nodes to run a content factory, customer intelligence engine, and campaign orchestrator from one instance. A 3-per...
Deepak Bagada
n8n-claw is a self-hosted AI agent built entirely inside n8n that uses Claude API for reasoning, PostgreSQL for persistent memory with vector search, Telegram as the chat interface, and SearXNG for private web search. It...
Deepak Bagada
Building n8n workflows with Claude Code means using the n8n-mcp server (czlonkowski, v2.57.1) to give Claude Code direct access to 1,851 n8n nodes through the Model Context Protocol. Developers cut weekly workflow mainte...
Deepak Bagada
Claude Code Dynamic Workflows (Anthropic, research preview May 28, 2026) let Claude write a JavaScript orchestration script that spawns up to 1,000 parallel subagents within a single session. Each subagent has its own co...
Deepak Bagada
