Research Command Center
One ranked queue for papers, model launches, repos, agent installs, and cross-market opportunities. JSON is available at /api/research.
Opportunity
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Paper
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Model
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Repo
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Agent
19
Re-check workloads in the optimizer and consider switching high-volume traffic.
z-ai input per m price changed from $0.62/M to $0.03/M.
Re-check workloads in the optimizer and consider switching high-volume traffic.
qwen input per m price changed from $0.24/M to $0.04/M.
Re-check workloads in the optimizer and consider switching high-volume traffic.
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Check whether this repo maps to a tracked tool, model, or implementation note.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Check whether this repo maps to a tracked tool, model, or implementation note.
baseten output per m price changed from $4.30/M to $1.20/M.
Re-check workloads in the optimizer and consider switching high-volume traffic.
elorian released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
deepseek released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Review credibility signals before using this repo as proof of adoption.
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
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The agent that grows with you
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The API to search, scrape, and interact with the web at scale. 🔥
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High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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Production-grade engineering skills for AI coding agents.
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Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT GPT-5.6, Codex GPT-5.6, GPT-5.5. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
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🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
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World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
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This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
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A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.
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A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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Clone any website with one command using AI coding agents
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CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
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🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images & video — real files, HTML/PDF/PPTX/MP4 export. 🤖 Claude Code / Codex / Cursor / Gemini / OpenCode / Qwen & 20+ CLIs via BYOK.
Review credibility signals before using this repo as proof of adoption.
46 open AI roles in the current jobs snapshot.
Use the hiring pattern to infer priorities, buyer pain, and talent-market momentum.
inception released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
nvidia released a vision model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
46 open AI roles in the current jobs snapshot.
Use the hiring pattern to infer priorities, buyer pain, and talent-market momentum.
11 open AI roles in the current jobs snapshot.
Use the hiring pattern to infer priorities, buyer pain, and talent-market momentum.
9 open AI roles in the current jobs snapshot.
Use the hiring pattern to infer priorities, buyer pain, and talent-market momentum.
meta released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
baseten input per m price changed from $1.30/M to $0.40/M.
Re-check workloads in the optimizer and consider switching high-volume traffic.
scaledown released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
scaledown released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
mistralai released a chat model with Elo 1430.
Evaluate benchmark movement, pricing impact, and whether tool pages should reference it.
meta released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
anthropic released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
7 open AI roles in the current jobs snapshot.
Use the hiring pattern to infer priorities, buyer pain, and talent-market momentum.
liquid released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
google released a image model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
mistralai released a chat model with Elo 1430.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
google released a image model with Elo 1328.
Evaluate benchmark movement, pricing impact, and whether tool pages should reference it.
moondream released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
minimax released a chat model.
Evaluate benchmark movement, pricing impact, and whether tool pages should reference it.
minimax released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
xingchen-agi released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
reflection released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
moondream released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
unbiased released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
unbiased released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
unbiased released a chat model.
Compare benchmark fit, context, pricing, and whether it belongs in model recommendations.
JavaScript in-page GUI agent. Control web interfaces with natural language.
Review credibility signals before using this repo as proof of adoption.
Waypoint-OPD improves policy-shift distillation by gating endpoint shifts using directional agreement between early and late teacher policy changes, boosting reasoning performance with minimal overhead.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
MJev-Spatial is a fast multimodal decision model that unifies spatial reasoning tasks into a single-pass classification framework, improving speed and accuracy over autoregressive vision-language models.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
OpenGCUA introduces an open generalist computer-use agent that integrates visual and programmatic interfaces, harness-to-model decision transfer, and code execution to improve task performance and efficiency across models.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Trending research paper with fresh community or cross-source attention.
Inspect the implementation repo and decide whether this should become a tool/model explainer.
World Model RL replaces costly environment execution with a learned world model and applies debiasing and denoising to accelerate post-training of autonomous research agents.
Inspect the implementation repo and decide whether this should become a tool/model explainer.
Trending research paper with fresh community or cross-source attention.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Atria Dawn Preview is a foundation agentic language model trained through verified tool interactions that achieves strong benchmark results and demonstrates a shift toward human-AI project-level collaboration in scientific research.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
ZGCM-1 is a 7B open foundation model that combines internal reasoning with external tool use, trained via efficient architecture-system co-design, progressive long-context scaling, and autonomous agent workflows to achieve strong reasoning and efficiency.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Vidu S2 introduces real-time interactive avatar and video editing models that support high-resolution spatial video generation and dynamic reference updates.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
NCP-ArchPreview is a large latent-space language model that jointly trains next-token and next-concept prediction to improve pretraining efficiency and downstream performance.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
NeoHorse-1 uses agentic post-training with intelligent routing, structured feedback loops, and curriculum-based distillation to improve model capabilities across agent benchmarks.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Compile by training converts natural-language specifications into reusable neural functions by distilling teacher-generated examples into small adapters, enabling efficient deployment without remote model dependencies.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
DisCo is a research agent that distills operational knowledge into reusable skills, significantly improving autonomous ML research performance across benchmarks.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
StudentSim trains personalized student simulators from sparse data to mirror learner responses and adapt to tutor guidance, outperforming existing models across chess, writing, and math.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Qwen-Drive-1.0 is a vision-language foundation model for autonomous driving that unifies 3D perception, visual question answering, and motion planning via shared representations and staged training.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
StateM is a runtime system that improves long-horizon agent execution through durable states, recoverable runbooks, and enforceable procedural controls without altering model weights.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
A 150M-parameter reasoning model using recurrent latent reasoning and in-context learning achieves a new cost-accuracy frontier on ARC-AGI-1.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Macaron-V1 is an open agent-model family that uses a Mixture-of-LoRA architecture and recursive self-improvement to enable continual learning and collaboration across specialized tasks.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Kimi K3 is a 2.8-trillion-parameter open-source AI model that uses a Mixture-of-Experts design to activate only 104 billion parameters per token, making it efficient despite its size. It introduces new attention mechanisms and a stable expert-routing method to improve performance across long sequences and deep networks, achieving roughly 2.5x better scaling efficiency than its predecessor. The model excels at long-horizon coding, agentic tasks, reasoning, and vision, outperforming all other open models and most proprietary ones, though it still trails the top closed models like Claude Fable 5 and GPT-5.6 Sol. Its release as open weights aims to accelerate research and deployment of frontier-level AI.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Trending research paper with fresh community or cross-source attention.
Read the abstract and check whether the method changes tool, benchmark, or model coverage.
Agent skill from the official anthropics/skills repository.
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
Launch and manage Meta and Google Ads from your AI assistant. You approve every change first.
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
MCP for AI compliance documentation across SR 26-2, EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
Sales-agent MCP for Demand Discovery AI. Validate startup ideas with behavioral signals.
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
Let Claude, Cursor, or ChatGPT author Mermaid diagrams your team can read and share.
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Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
Create, test, publish, and manage Dreamlit notification workflows from AI clients.
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
Filtrix MCP for image/video generation. Portal: https://agent.filtrix.ai/
Try the install path in a sandbox and decide whether it should enter the operator toolkit.
Scores are synthesized from the portal's own tables: Radar, papers, model releases, repo snapshots, and MCP/skill discovery. Use this as an editorial triage queue, then verify primary sources before publishing.