Introducing AgentPatch
Pinned
Introducing AgentPatch, the marketplace of tools for AI Agents
Blog
Introducing the AgentPatch CLI: The Simplest Way to Give Your Agent Tools
Pinned
We built a zero-dependency Python CLI for AgentPatch. It's simpler than MCP, works everywhere Python runs, and gets your agent using tools in seconds.
Why We Switched from React to Astro
Pinned
We migrated AgentPatch from a React SPA to Astro with React islands. Here's why, and what we gained.
AI Financial Analysis: What Agents Can Do with Financial Statements
AI financial analysis agents process income statements, calculate ratios, compare peers, and connect company data to macro indicators at a scale no analyst can match manually.
AI Investment Research: How Agents Gather and Analyze Company Data
AI investment research agents gather SEC filings, earnings data, news, and peer comparisons so analysts spend time on judgment, not reading.
AI Price Comparison: How Agents Track and Compare Prices at Scale
AI price comparison agents scrape prices across sources, normalize formats, track changes over time, and alert you when something worth acting on happens.
AI Contract Review: How Agents Read and Flag Legal Documents
AI contract review uses agents to extract clauses, flag risk terms, and compare documents at scale, without a lawyer reading every line.
AI for Lawyers: A Practical Guide to Using Agents in Legal Work
AI agents can handle legal research, document review, due diligence, and drafting prep, freeing lawyers to focus on the judgment calls that actually require them.
AI Agent Orchestration: Patterns for Coordinating Complex Agents
Agent orchestration is how you coordinate complex multi-step AI agents. Here are the patterns that matter: sequential chains, parallel fan-outs, and supervisor-worker hierarchies.
What Is an AI News Agent (and How to Build One)
An AI news agent monitors, filters, and summarizes news from multiple sources autonomously. Here's how one works and how to build your own.