The Agent Reality Index — Agentic Ready

Four categories

Start with your category

92 tools, ranked on real-world use — pick where you're building.

Frameworks 25 tools #1

LangChain 77.0 View ranking Low-Code Platforms 25 tools #1

Lovable 86.4 View ranking Coding Agents 25 tools #1

Cursor 98.8 View ranking Autonomous Assistants 17 tools #1

OpenClaw 70.3 View ranking

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The rankings

Top tools, by category

Ranked by six real-world signals. Click any tool for its full breakdown.

Movers this month

Activepieces ▼15GPT Engineer ▼14GPT Pilot ▼14RAGFlow ▼13Goose (Block) ▼13 Haystack NEWSpring AI NEWMastra NEWLetta (MemGPT) NEWCAMEL NEW

Demand-ledDev favouriteHeavily usedCommunity-drivenFast-risingProduction-ready

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Why the numbers — anatomy of a score

Claude Code · 81.6/100

Market demand 93

Developer adoption 72

Real usage 81

Production-readiness 48

Community 50

Momentum 65

Six signals, weighted — market demand heaviest. Closed-source tools with no public code (like Cursor) are scored on demand alone, which is why coding agents read “demand-led”.

Full methodology → See the positioning maps →

Agent Reality Index — frequently asked questions

What is the Agent Reality Index?

The Agent Reality Index ranks 92 AI agent tools across 4 categories by real-world signals rather than GitHub stars or vendor opinion. It blends market demand, developer adoption, real usage, momentum, production-readiness, and community into a single 0–100 score, and is refreshed monthly (last updated 15 June 2026).

How is the index scored?

Each tool gets a 0–100 score from six weighted signals: market demand (weighted most heavily), developer adoption, real usage, production-readiness, community, and momentum. Closed-source tools with no public repository are scored on real demand alone. The methodology page documents the full weighting.

Why does it rank by demand instead of GitHub stars?

GitHub stars measure popularity among developers who use GitHub, not real-world adoption — they can be inflated and never decay. The index leads with how much a tool is actually searched for and asked about inside AI tools, which tracks genuine usage far better than a star count.

How often is the Agent Reality Index updated?

It is rebuilt monthly from fresh data, so rankings move as demand, adoption, and usage shift. The current edition was last updated 15 June 2026.

What categories of agent tools does it cover?

The index sorts tools into 4 categories — Frameworks, Low-Code Platforms, Coding Agents, Autonomous Assistants — each with its own ranked board.

The agents people actually use

Start with your category

Top tools, by category

Why the numbers — anatomy of a score

Agent Reality Index — frequently asked questions