# Frameworkr > Frameworkr helps founders and builders translate vague AI agent ideas into structured architecture blueprints. Understand what you're building before you (or an AI agent) write a single line of code. Frameworkr turns vague AI agent ideas into structured architecture blueprints, and curates the tools that build them. The two most citation-worthy sections are the Blog (concepts and explainers) and the Tools catalog (editorially reviewed AI agent infrastructure, each mapped to a blueprint layer). Every page below links to a clean markdown (`.md`) version optimised for machine reading. ## Blog - [What Is eve? Vercel's Agent Framework, Explained in Plain English](https://www.frameworkr.com/blog/what-is-eve-vercels-agent-framework.md): Vercel released eve in June 2026 — an open-source framework it calls "Next.js for agents." Here's what it actually does, who it's for, and what it means if you're designing an AI agent right now. - [What Is an AI Agent? A Builder's Guide (2026)](https://www.frameworkr.com/blog/what-is-an-ai-agent.md): Not a definition — a walkthrough. See how an AI agent handles what automation can't: the messy, ambiguous, judgment-required moments that break every workflow you've ever built. - [Building Agent-Ready Business Systems: What Most Teams Get Wrong](https://www.frameworkr.com/blog/building-agent-ready-business-systems.md): Most business documentation is written for humans. Here's how to build systems that work today and can be handed off to AI agents tomorrow — without rebuilding everything. - [What Is an AI Agent Architecture? A Practical Guide for Builders](https://www.frameworkr.com/blog/what-is-an-ai-agent-architecture.md): Learn what AI agent architecture means, why it matters before you write code, and how to design a blueprint that sets your agent up for success from day one. ## Tool Categories - [Orchestration](https://www.frameworkr.com/tools/categories/orchestration.md): Frameworks that coordinate agent logic, tool use, and decision flow - [Models](https://www.frameworkr.com/tools/categories/models.md): LLM providers and local inference options - [Memory & Vector](https://www.frameworkr.com/tools/categories/memory.md): Storage layers for agent context, embeddings, and retrieval - [Actions & Integrations](https://www.frameworkr.com/tools/categories/actions.md): Tools that give agents the ability to act on external systems - [Browser & Scraping](https://www.frameworkr.com/tools/categories/browser.md): Headless browser control and web data extraction - [Triggers & Scheduling](https://www.frameworkr.com/tools/categories/triggers.md): Event-driven and scheduled agent execution - [Hosting & Infra](https://www.frameworkr.com/tools/categories/hosting.md): Where agents run — serverless, containerised, or edge - [Databases](https://www.frameworkr.com/tools/categories/database.md): Persistent structured storage for agent state and outputs - [Monitoring & Observability](https://www.frameworkr.com/tools/categories/monitoring.md): Trace, evaluate, and debug agent runs in production - [MCP Servers](https://www.frameworkr.com/tools/categories/mcp.md): Model Context Protocol servers that extend agent capabilities ## Tools - [Anthropic Claude API](https://www.frameworkr.com/tools/anthropic-claude.md): State-of-the-art frontier models built for safe, steerable, and capable agentic use - [Browserbase](https://www.frameworkr.com/tools/browserbase.md): Headless browser infrastructure for agents — reliable, scalable, cloud-native - [Chroma](https://www.frameworkr.com/tools/chroma.md): Open-source embedding database — the fast path from prototype to local vector search - [Composio](https://www.frameworkr.com/tools/composio.md): 250+ pre-built tool integrations so agents can act on external systems out of the box - [Context7](https://www.frameworkr.com/tools/context7.md): MCP server that injects up-to-date library documentation into your agent's context - [Groq](https://www.frameworkr.com/tools/groq.md): Fastest inference API for open-source models — purpose-built for speed - [Helicone](https://www.frameworkr.com/tools/helicone.md): Lightweight LLM proxy for logging, cost tracking, and caching with zero code changes - [LangChain](https://www.frameworkr.com/tools/langchain.md): The most widely-adopted framework for building LLM-powered applications and agents - [Langfuse](https://www.frameworkr.com/tools/langfuse.md): Open-source LLM observability — trace every agent run, score outputs, and catch regressions - [LlamaIndex](https://www.frameworkr.com/tools/llamaindex.md): The data framework for building LLM applications over custom knowledge sources - [MCP Filesystem Server](https://www.frameworkr.com/tools/mcp-filesystem.md): Anthropic's reference MCP server for reading, writing, and navigating local filesystems - [Ollama](https://www.frameworkr.com/tools/ollama.md): Run open-source LLMs locally with a simple API and no cloud dependency - [OpenAI API](https://www.frameworkr.com/tools/openai.md): The GPT model family with vision, audio, and the broadest tool-calling ecosystem - [Pinecone](https://www.frameworkr.com/tools/pinecone.md): Managed vector database built for production-scale semantic search and agent memory - [Railway](https://www.frameworkr.com/tools/railway.md): Deploy any containerised agent to production in minutes — zero infrastructure complexity - [Supabase](https://www.frameworkr.com/tools/supabase.md): Open-source Firebase alternative — Postgres, auth, storage, and pgvector in one platform - [Trigger.dev](https://www.frameworkr.com/tools/triggerdev.md): Code-native background jobs and event-driven agent execution with full observability - [Zapier](https://www.frameworkr.com/tools/zapier.md): No-code automation backbone connecting 7,000+ apps for agent-triggered workflows ## Key Pages - [Blog index](https://www.frameworkr.com/blog.md): All articles - [Tools catalog](https://www.frameworkr.com/tools.md): Full tool catalog - [Build a Blueprint](https://www.frameworkr.com/blueprint): Design an AI agent architecture - [Pricing](https://www.frameworkr.com/pricing): Free Basic Blueprints and Architect Mode plans