How does AgentRank work?
AgentRank weighs verified adoption evidence, public product evidence, projects, saves, comparisons, usage signals, retention, and trust.
Verified adoption graph rankings for AI tools, agents, MCP servers, and developer platforms. Rankings combine verified usage, trust, protocol support, benchmarks, and commercial readiness.
Claim your profile to verify the AgentRank badge, add usage evidence, and see the developers behind each adoption signal.
Claim your toolAdoption movementAgentRank weighs verified adoption evidence, public product evidence, projects, saves, comparisons, usage signals, retention, and trust.
No. Sponsored placement can be labeled elsewhere, but AgentRank is not pay-to-play.
Stars and traffic show attention. Adoption proof shows which products developers put into real workflows.
Freshness
Live graph
Confidence
Usage, retention, trust, and protocol evidence are scored separately.
Privacy
Cohorts below N=7 stay private; those rows rank on public signals until they clear the threshold.
Methodology
Ranks link back to the published measurement model.
Rank / tool / AgentRank / verified proof / protocols / trust.
| Rank | Tool | AgentRank | Growth | Trend | Protocols | Trust |
|---|---|---|---|---|---|---|
| #1 | Qdrant Vector DatabasesPublic signals | 66 | — | ★ 35k | API, SDK | observed · 47 |
Rankings are designed to become the public scoreboard for developer adoption. They weigh verified usage, public product evidence, projects, saves, comparisons, and retention over review volume or sponsored placement. Cohorts below N=7 are explicitly suppressed.
Verified usage events
Trust and telemetry proof
Protocol metadata
Benchmark performance
Commercial readiness
Non-pay-to-play policy
Public rankings are free and cannot be bought. Claiming and instrumenting your product can improve the quality of the public proof, then enterprise plans unlock the private account, cohort, and benchmark intelligence behind it.
Start with a free company workspace. Paid enterprise access is enabled manually through sales after agreement—there is no self-checkout.
| #2 | Weaviate Vector DatabasesPublic signals | 66 | — | ★ 17k | API, SDK | observed · 47 |
| #3 | Helicone ObservabilityPublic signals | 66 | +108 ★ | ★ 6.2k | API, SDK | observed · 47 |
| #4 | Langfuse ObservabilityPublic signals | 66 | +1.8k ★ | ★ 35k | API, SDK | observed · 47 |
| #5 | LlamaIndex RAG FrameworksPublic signals | 64 | — | ★ 52k | API, SDK | observed · 47 |
| #6 | CrewAI AI AgentsPublic signals | 63 | — | ★ 59k | API, SDK | observed · 47 |
| #7 | Haystack RAG FrameworksPublic signals | 63 | +308 ★ | ★ 27k | API, SDK | observed · 47 |
| #8 | vLLM LLM ProvidersPublic signals | 55 | +2.7k ★ | ★ 92k | API, SDK | observed · 47 |
| #9 | HKUDS/nanobot AI AgentsPublic signals | 52 | +1.1k ★ | ★ 48k | API, SDK | observed · 49 |
| #10 | Playwright MCP AI AgentsPublic signals | 52 | +1.1k ★ | ★ 37k | API, SDK | observed · 49 |
| #11 | FastAPI-MCP Agent FrameworksPublic signals | 52 | +29 ★ | ★ 12k | API, SDK | observed · 49 |
| #12 | mcp-agent Agent FrameworksPublic signals | 52 | +57 ★ | ★ 8.5k | API, SDK | observed · 49 |
Helicone
Observability