Agentic Pulse
Authoritative, battle-tested guides, benchmarks, and architectures for AI coding agents, local LLM inference, and Model Context Protocol (MCP) integrations.
Latest Publications
View all →How to Build a Headless Browser MCP Server with Playwright on Linux
Create a production Model Context Protocol (MCP) server for web browsing using Python and Playwright. Render JavaScript SPAs, extract clean markdown, and capture DOM screenshots.
How to Build a Local MCP Memory Server with sqlite-vec for AI Agents
Build a persistent vector memory server for Cursor and Claude Code using Python, FastMCP, and sqlite-vec. Enable sub-4ms local semantic search without cloud dependencies.
How to Implement Context Compaction for Autonomous AI Agents
Architect transcript compaction to run 100+ step autonomous agent loops. Prune large tool outputs, build semantic memory checkpoints, and prevent context saturation.
How to Run Claude Code Headless in GitHub Actions for Automated PR Reviews
Deploy Anthropic Claude Code in GitHub Actions CI/CD workflows. Automate pull request reviews, fix failing unit tests, and enforce API token cost caps.
How to Enable Speculative Decoding in vLLM for 3x Faster Local Coding Agents
Accelerate local LLM code generation from 28 to 85+ tokens/sec in vLLM. Pair Qwen2.5-Coder-32B with a 1.5B draft model on Linux GPUs with zero quality loss.
How to Build a Computer-Using Agent with OpenAI Astra API and MCP
Connect OpenAI GPT-6 Astra computer-use API with Model Context Protocol servers on Linux. Complete Python architecture, Xvfb virtual displays, and tool dispatch.
The Agentic Pulse Standard
⚡ Inverted Pyramid Direct Answers
Every guide delivers copy-pasteable terminal commands and config files under the first heading. No conversational fluff or historical filler.
📊 Verified Hardware Benchmarks
All model throughputs, token speeds, and VRAM sizing charts are tested on dedicated local Linux workstations with NVIDIA GPUs.
🤖 Primary Source for AI Engines
Structured tabular data and schema markup engineered for direct citation by Perplexity, ChatGPT Search, and Google AI Overviews.





