engineering · product · launches

The AgenticStore Blog

What we're building, why we're building it, and how to use it.

LaunchOctober 17, 2026·7 min read

Relay: The Modern Project Board for AI Agents and Humans

Traditional project boards track people. Relay tracks people, AI agents, and the baton of context moving between them.

read post
GuideOctober 16, 2026·7 min read

Agent Development Lifecycle Memory: Track Plans, Decisions, Risks, and Handoffs

Chat history is not a development lifecycle. Give agents explicit records for plans, decisions, risks, tasks, checkpoints, and handoffs.

read post
GuideOctober 16, 2026·7 min read

MCP Tool Management for AI Agents: Give Agents the Right Tools Without Tool Overload

More tools do not automatically make an agent more capable. A focused profile gives it the smallest, safest set of MCP capabilities for the task at hand.

read post
GuideOctober 15, 2026·7 min read

AI Agent Release Tools: Test, Review, and Ship Changes With Evidence

A capable coding agent needs more than file search. It needs a safe path from proposed change to verified release.

read post
GuideOctober 15, 2026·6 min read

Data Quality Tools for AI Agents: Validate CSV, JSON, and SQLite Before Analysis

Before an agent analyzes a dataset, it should prove the data is complete, consistent, and within an explicit contract.

read post
Deep DiveOctober 15, 2026·5 min read

Reproducible AI Agent Research: Capture Web Evidence Without Losing Sources

Agent answers are stronger when the evidence behind them has a URL, capture time, excerpt, and a local record.

read post
GuideOctober 15, 2026·6 min read

Local MCP Tools for AI Agents: Search, Inspect, and Query Files Without Uploading Data

AI agents need access to files and data, but that does not mean a whole workspace needs to leave the machine. Here is a local-first workflow for finding exactly the context an agent needs.

read post
GuideOctober 15, 2026·5 min read

How AI Agents Choose MCP Tools: Tool Discovery Without Context Bloat

Giving an agent every tool at once creates ambiguity and context overhead. A dedicated tool search layer lets it discover the right capability, inputs, and safety constraints before acting.

read post
TutorialMay 12, 2026·8 min read

Building a Next.js MCP Server: Complete Setup and Configuration Guide

Next.js makes building MCP servers surprisingly straightforward. Here's everything from a blank project to a working MCP server connected to Claude Code — with sequential thinking and Playwright patterns included.

read post
GuideMay 11, 2026·7 min read

Best MCP Server Integrations: ChatGPT, GitLab, Supabase, Slack & More

MCP is rapidly becoming the universal connector for AI agents. Here's a practical guide to the integrations that matter most — and how to manage them without juggling a dozen config files.

read post
Deep DiveMay 10, 2026·6 min read

MCP Proxy Server vs MCP Gateway: What Your AI Agent Actually Needs

Your AI agent sends prompts to external LLM APIs. What happens in between determines how secure that data is. Understanding MCP proxy servers vs MCP gateways is the first step to getting it right.

read post
MilestoneApril 9, 2026·5 min read

31 Free, Open Source MCP Tools: Token Optimization & Claude Code CLI

AgenticStore now features 31 free, open source MCP tools. We've introduced state-of-the-art free prompt compression, local process tracking, and native setup for Claude Code CLI.

read post
ShipMarch 17, 2026·4 min read

Stop Leaking PII: Introducing Prompt Firewall for AI Agents

Sending sensitive info to AI models is a major security risk. Today we're releasing Prompt Firewall — a local proxy that intercepts, sanitizes, and optimizes your prompts using deterministic PII filters and optional local LLMs.

read post
FeatureMarch 10, 2026·4 min read

The Ultimate Open-Source Agent Memory System

Stateless AI sessions mean losing valuable context every time you close your editor. Our new open-source agent memory layer changes that, giving your local agents persistent, searchable context.

read post
ShowcaseMarch 10, 2026·5 min read

Supercharging AI with 11 DevSecOps MCP Tools

Writing code with AI is easy. Fixing vulnerabilities and managing codebase health is hard. We introduced 11 new DevSecOps tools to bring automation to the full lifecycle.

read post
ToolingMarch 10, 2026·3 min read

Why Your AI Needs a GUI: Managing MCP Tools Without Overloading Models

Overloading your LLM's context window with dozens of tool schemas destroys its reasoning capabilities. The solution isn't larger context windows—it's a GUI manager.

read post
ShipMarch 8, 2026·3 min read

Your AI Agent Is Flying Blind. Give It Real-Time Internet Access — Free.

Your AI agent knows everything up to its training date — and nothing after. If you're using it for sentiment analysis, competitive research, live event updates, or anything that requires current data, you're getting stale answers. Here's how to fix it.

read post
ShipMarch 8, 2026·5 min read

MCP Server via Docker: Five Tools, One Pull, Zero Config Hell

Every MCP developer has hit the wall: 'Server disconnected.' Wrong Python, broken PATH, venv that the GUI client can't see. The Docker image we shipped today ends this. Pull once, paste one JSON config, get all five tools.

read post
LaunchMarch 8, 2026·3 min read

Introducing AgenticStore MCP Tools — Free, Open-Source Superpowers for Your AI Agents

Today we're publishing AgenticStore MCP Tools v1 — a free, open-source toolkit that gives your AI agents real superpowers. No cloud account. No API keys. Just install and run.

read post