211,542 stars
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
ai-agentsanthropicclaudeclaude-codedeveloper-tools
Frontier hub
Frontier Models
A research hub for flagship reasoning, multimodal, and general-purpose AI models that product teams compare before standardizing a platform.
Built for: Product, research, platform, and enterprise AI teams
11
Ranked entries
8
Verified repos
9
Decision pages
99
Top score
1
Does the model solve the workflow with less human repair than cheaper baselines?
2
Can the provider meet data, latency, billing, and deprecation requirements?
3
Is the model being used for genuinely hard reasoning rather than routine formatting?
Ranking
Shortlist the leading entries.
These entries come from the current SkillRank dataset. Scores help discovery; final decisions should use your own workflow tests.
Chat / Reasoning
GPT-5.5
OpenAI
99
Score
OpenAI’s current flagship for general reasoning, multimodal understanding, and agent-style tasks.
Text / MultimodalRank #1Editorial profile
Chat / Reasoning
Claude Sonnet 4.5
Anthropic
97
Score
Balanced frontier model with strong reasoning, long context, and tool use.
Text / MultimodalRank #2Editorial profile
Chat / Reasoning
Gemini 2.5 Pro
96
Score
Google DeepMind multimodal model tuned for reasoning across text, images, and tools.
Text / MultimodalRank #3Editorial profile
Chat / Reasoning
Claude Opus 4.1
Anthropic
95
Score
Highest-capability Claude tier for demanding reasoning and structured outputs.
Text / MultimodalRank #4Editorial profile
Chat / Reasoning
Gemini 2.5 Flash
92
Score
Fast, cost-efficient Gemini variant for high-volume chat and classification.
Text / MultimodalRank #5Editorial profile
Chat / Reasoning
DeepSeek R2
DeepSeek
91
Score
Latest DeepSeek reasoning line with improved chain-of-thought and tool use.
TextRank #6Editorial profile
Chat / Reasoning
Qwen 4
Alibaba
89
Score
Current-generation Qwen flagship for multilingual chat, tools, and multimodal use.
Text / MultimodalRank #7Editorial profile
Chat / Reasoning
Grok 4
xAI
88
Score
Latest xAI assistant with real-time web and X integration where available.
Text / MultimodalRank #8Editorial profile
Daily signals
What today's briefing says about this category.
Signals are generated from recorded snapshots and verified source metadata. They keep the hub connected to the daily crawler.
Verified repositories
Repository-backed projects to inspect.
GitHub metadata is useful for discovery, but production fit still depends on license, docs, security posture, and local maintainability.
188,371 stars
The agent that grows with you
aiai-agentai-agentsanthropicchatgpt
139,030 stars
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
aiboltcluelycopilotcursor
81,427 stars
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
aiai-agentsai-memoryanthropicartificial-intelligence
81,427 stars
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
aiai-agentsai-memoryanthropicartificial-intelligence
65,627 stars
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
agentagent-developmentai-agentclaudeclaude-code
Guides
Read the operating playbooks.
Model strategy9 min
AI Model Selection Framework for Product Teams
A practical framework for choosing chat, reasoning, multimodal, coding, and retrieval models without relying on launch hype.
Retrieval8 min
RAG Evaluation Checklist
A grounded checklist for choosing embedding models, retrieval pipelines, rerankers, and document-agent workflows.
Media generation7 min
AI Image and Video Model Workflow
How creative teams can compare image and video generators using briefs, brand constraints, rights review, and repeatability.
Methodology8 min
SkillRank Data Methodology
How SkillRank separates editorial model profiles, GitHub-verified repository signals, daily picks, and recorded history.
Operations9 min
AI Model Cost and Latency Playbook
How to choose model tiers, route requests, set latency budgets, and avoid paying flagship prices for routine AI work.
Architecture8 min
Model Routing and Fallback Design
A practical guide to routing prompts across fast, cheap, specialist, and frontier models without creating brittle AI infrastructure.
Compare
Turn options into a decision.
Frontier reasoningUpdated 2026-06-04
GPT-5.5 vs Claude Opus for Professional Work
A practical comparison of GPT-5.5 and Claude Opus for research, coding, long documents, agentic workflows, and enterprise evaluation.
Platform choiceUpdated 2026-06-04
OpenAI vs Gemini for Product Teams
How product teams should compare OpenAI and Google Gemini for chat, multimodal apps, workflow automation, enterprise deployment, and cost control.
RetrievalUpdated 2026-06-04
Embedding Models for RAG: OpenAI vs Gemini vs Cohere vs BGE
A practical comparison of embedding model choices for RAG systems, semantic search, hybrid retrieval, and enterprise knowledge bases.
Source boundaries
Closed-provider model profiles are editorial unless an official source or verified public repository is attached.
Weekly movement appears only from recorded SkillRank snapshots, not invented launch commentary.
Use rankings as a shortlist, then run a fixed evaluation set on your own prompts and documents.