GAIA Level 3 #1 (61.5%), DeepSearchQA #1 (87.6%, beat Perplexity by 8.1%). YC S23. Visual canvas where agents collaborate. Benchmark leader in multi-agent research tasks — not coding-specific.
38/100
Trust
N/A
Stars
2
Evidence
Editorial verdict
Watch list. Benchmark leader in multi-agent research (GAIA, DeepSearchQA) but not a coding tool. Does not belong in coding-specific rankings unless it ships coding features.
Source
Public evidence
Benchmark leader in multi-agent research tasks. GAIA L3 61.5%, DeepSearchQA 87.6% (beat Perplexity by 8.1%). However, benchmarks are research-focused, not coding-focused.
Solid engagement. Discussion focuses on research use cases, not coding. Pricing concerns raised (~7K credits per task).
How does this compare?
See side-by-side metrics against other skills in the same category.
Where it wins
GAIA Level 3 #1 (61.5%) — top multi-agent research benchmark
DeepSearchQA #1 (87.6%, beat Perplexity by 8.1%)
YC S23 backing
Visual canvas model is differentiated
109 HN points, 69 comments
Where to be skeptical
Not a coding tool — research/deliverable platform
Proprietary, private repo, no open-source path
Visual canvas may not serve code workflows
Pricing concerns (~7K credits per demo task)
Ranking in categories
Know a better alternative?
Submit evidence and we'll run the full pipeline.
Similar skills
Claude Code
90Anthropic's official agentic coding CLI. Terminal-native, tool-use-driven, with deep file system and shell access. #1 SWE-bench Pro standardized (45.89%), ~4% of GitHub public commits (SemiAnalysis), $2.5B annualized revenue (fastest enterprise SaaS to $1B ARR). 8M+ npm weekly downloads. Opus 4.6 with 1M context.
OpenHands
88Category leader in multi-agent orchestration — 69,352 stars (verified), $18.8M Series A, AMD hardware partnership, 455 contributors, 1M downloads/month PyPI (3.4M all-time). SWE-Bench Verified 72% with Claude 4.5 Extended Thinking (updated 2026-03-19), Multi-SWE-Bench #1 across 8 languages. Gap to #2 is enormous on every axis.
n8n
83179,860 GitHub stars — largest OSS repo in adjacent workflow-automation space by 2×. 3,000+ enterprise customers, ~200,000 active users, $60M Series B. 1,100+ ready-to-use integrations, native AI Agent node, MCP client/server support. Best for orchestrating SaaS integrations and processes with AI nodes — not for building agent systems in code.
LangGraph
78#1 Python agent framework by production evidence — 40.2M PyPI downloads/month, Fortune 500 deployments (LinkedIn, Uber, Replit, Elastic, Klarna, Cloudflare, Coinbase), ~400 LangGraph Platform companies, LangSmith rated best-in-class observability. Stable v1.x API, model-agnostic, MCP support.
Raw GitHub source
GitHub README could not be fetched right now.