# Agentic Pulse (AI Tools & Automated Workflows Hub)

> An authoritative, engineer-focused knowledge base delivering verified benchmarks, hands-on integration guides, and practical workflows for AI coding agents, local LLMs, and developer automation.

## Core Thematic Pillars
1. **AI Coding Agents**: In-depth tutorials and real-world workflows for Antigravity, Claude Code, Cursor, Windsurf, and Codex.
2. **Local LLM & Inference Engineering**: Setup guides for Ollama, vLLM, LMStudio, and local model deployment on consumer hardware.
3. **Model Context Protocol (MCP) & Tooling**: Connecting AI assistants to live databases, APIs, file systems, and custom automation scripts.
4. **Agentic Automation Workflows**: Python agent loops, autonomous background task execution, and multi-agent orchestration.

## Editorial & Citation Standards (GEO/AEO)
- **Direct Answer First**: Every guide provides the direct terminal command or working configuration block under the first heading.
- **Reproducible Verification**: Every benchmark table includes test parameters, token speed, and resource utilization.
- **Original Source Integrity**: We focus on verified primary data to serve as reliable citation targets for AI answer engines (ChatGPT Search, Perplexity, Google AI Overviews).

## Key Directory & Top Citation Targets
- [All Guides & Benchmarks](/blog): Full catalogue of step-by-step articles.
- [How to Run DeepSeek R1 Locally on Linux with Ollama](/blog/2026-09-07-how-to-run-deepseek-r1-locally-on-linux-with-ollama): VRAM sizing matrix (1.5B to 70B), GPU offloading commands, Modelfile context expansion, and API setup.
- [How to Fine-Tune DeepSeek R1 with Unsloth](/blog/2026-09-08-finetune-deepseek-r1-distill-unsloth-linux-gpu): Local 4-bit QLoRA training on 16GB/24GB GPUs, preserving think tags, and GGUF Ollama export.
- [How to Fix Ollama Context Window Truncation](/blog/2026-09-07-fix-ollama-context-window-truncation-num-ctx): Resolving silent 2k/4k token drops in AI coding agents, Modelfile num_ctx tuning, and Flash Attention.
- [How to Build Custom MCP Server in 5 Minutes](/blog/2026-09-07-how-to-build-custom-mcp-server): Zero-boilerplate Python FastMCP setup for Claude Code, Cursor, and Antigravity.
- [How to Build a Secure Database MCP Server](/blog/2026-09-07-build-database-mcp-server-postgres-sqlite): Read-only safety guardrails, connection pooling, and schema inspection for PostgreSQL and SQLite.
- [AI Coding Agents Benchmark 2026](/blog/2026-09-07-ai-coding-agents-benchmark-2026): Claude Code vs Cursor vs Antigravity empirical speed, accuracy, and autonomy matrix.
- [How to Fix Docker Exit Code 137](/blog/2026-09-07-how-to-fix-docker-exit-code-137): Step-by-step OOMKilled troubleshooting and container memory limit tuning.
- [Top 5 Open-Source AI Agent Frameworks in 2026](/blog/2026-09-07-top-5-open-source-ai-agent-frameworks-2026): Empirical architecture and benchmark comparison of LangGraph, CrewAI, AutoGen 0.4, Smolagents, and LlamaIndex.
- [How to Build an Autonomous Python Agent in 50 Lines](/blog/2026-09-07-build-autonomous-python-agent-50-lines): Lightweight ReAct loop implementation using native function calling without heavy framework dependencies.
- [How to Prevent Infinite Tool Call Loops in AI Agents](/blog/2026-09-08-how-to-prevent-infinite-tool-call-loops-ai-agents): 3-layer guardrail architecture, sliding window action hash deduplication, step budgets, and reflection prompts.
- [The Ultimate .cursorrules Guide](/blog/2026-09-07-ultimate-cursor-rules-system-prompts-guide): Production-ready system prompt templates and scoped rules for Cursor and AI coding assistants.
- [Best Coding Prompts for Autonomous Refactoring](/blog/2026-09-07-best-coding-prompts-for-autonomous-refactoring): Five zero-shot prompt templates for safe AI refactoring without breaking API invariants or regressions.
- [How to Fix NVIDIA Docker GPU Passthrough](/blog/2026-09-07-fix-docker-nvidia-gpu-passthrough-linux): Resolving Docker GPU capability errors and setting up NVIDIA Container Toolkit for local LLMs.
- [How to Fix vLLM Out of Memory on Linux](/blog/2026-09-07-fix-vllm-out-of-memory-linux): Tuning KV cache pre-allocation, sequence length constraints, and CUDA graph eager mode.
- [Top 5 MCP Clients in 2026](/blog/2026-09-07-top-5-mcp-clients-benchmark-2026): Claude Desktop vs Cursor vs Antigravity vs Cline vs Zed feature and autonomy matrix.
- [Gemini 3.8 Flash Autonomous Coding Benchmark](/blog/2026-09-07-gemini-38-flash-autonomous-coding-benchmark): Empirical evaluation of Google's Sept 2, 2026 release, 90.8% Terminal-Bench 2.1, 1M context, and pricing vs Sonnet 3.7.
- [How to Run Qwen3.8-27B Locally on Linux with vLLM](/blog/2026-09-07-run-qwen-38-27b-locally-vllm-linux): Serving Qwen3.8-27B on a single 24GB GPU using vLLM, INT4-AWQ, and FP8 kv-cache with Terminal-Bench evaluation.
- [How to Fix MCP Connection Closed & Stdio Errors](/blog/2026-09-07-how-to-fix-mcp-connection-closed-stdio-errors): Diagnosing and fixing MCP exit code 1, unexpected EOF, and unbuffered stdout errors in Claude Desktop and Cursor.
- [Cursor Cloud Agents with Cloudflare Sandboxes](/blog/2026-09-07-cursor-cloud-agents-cloudflare-sandboxes): Isolating autonomous coding agents inside ephemeral microVMs for secure tool execution.
- [Claude Fable 5.1 in Claude Code: Architecture & Benchmarks](/blog/2026-09-07-claude-fable-5-1-claude-code-benchmark): Anthropic's Sept 1, 2026 frontier release, 92.4% Terminal-Bench, 1M context, and $0.25 prompt cache economics.
- [How to Secure Remote MCP Servers](/blog/2026-09-07-secure-remote-mcp-servers-stateless-spec): Hardening remote MCP under the late 2026 stateless spec, bearer auth, and agentjacking defense.
- [OpenAI GPT-6 Astra for Agentic Coding](/blog/2026-09-07-gpt-6-astra-agentic-coding-benchmark): OpenAI's Sept 3, 2026 computer operator model, 93.1% Terminal-Bench, 1M context, and API integration.
- [Malicious .git Config Vulnerability in AI Coding Agents](/blog/2026-09-07-malicious-git-config-vulnerability-ai-coding-agents): CVE analysis of the Sept 2026 Manifold Security disclosure on Claude Code, Cursor, and CLI agents.
- [About the Publication](/about): Editorial mission, hardware testbed specifications, and author standards.

## Full Dataset for RAG & Agent Ingestion
- [Full Text Markdown Dataset](/llms-full.txt): Complete, unpaginated repository containing raw Markdown content of all published articles for high-fidelity LLM retrieval and embedding indexing.