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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
1–24 of 147 tools for “decision-models”
Clear allINVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. C
OfficialSkillMIT★ 1.3k in collectionNo key
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
SkillMIT★ 30kNo key
An autonomous agent that conducts deep research on any data using any LLM providers
SkillApache-2.0★ 30kNo key
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.
SkillMIT★ 5.8kNo key
Small, calibrated decision models on your own machine: systemone-compatible local server, 6 agent skills, Claude Code guard, MCP tools. Weights on Hugging Face.
PythonApache-2.0★ 21No key
Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
SkillMIT★ 763No key
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
SkillApache-2.0★ 1.4kNo key
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
PythonApache-2.0★ 149No key
Lets Claude Code and Cursor drive Chrome. Blind benchmark vs agent-browser: -33% tokens, -33% cost, -24% tool calls, +48% speed, 30/30. Direct CDP, a11y-tree refs, server-side plan executor. MIT, no p
Node.jsMIT★ 19No key
Self-hosted MCP server and Jev-compatible HTTP API for small decision models (Laya, Julia-1, clef-flash) on one GPU, in Docker
DockerApache-2.0Few starsNo key
Agent skills for designing, training, evaluating and improving application-specific decision systems. Primitive/model selection, data assembly, export/reload and bounded hill climbing. TypeSafe Jev is
SkillMIT★ 12No key
Make the call. Run local Laya, Von, CLM or hosted Jev for typed classification and scoring through one HTTP and MCP API, with resource-aware batches.
DockerWTFPL★ 3Few starsNo key
Open schemas, recipes, templates, examples and agent tooling for Brida Reflex.
SkillApache-2.0★ 4Few starsNo key
女性高成就者决策智库 | Women High-Achievers Decision Intelligence — AI Skill for real-world decision support based on 22 real women's life cases. Works with Antigravity, Claude, and any AI agents.
SkillMIT★ 4Few starsNo key
Agent Personas as MCP Server — 16 tools, 13 personas (8 free: CEO, CFO, CTO, CMO, PM, Analyst, Support, Creative Director + 5 Pro specialists), 3 multi-persona workflows plus councils + ensembles. Zer
SkillMIT★ 4Few starsNo key
MCP (Model Context Protocol) connector for Hubris — an OpenAI-compatible LLM gateway with billing in rubles
Node.jsMITFew starsNeeds a key
TuringCorp Decider — MCP server discovery metadata (registry manifest, listing docs)
Hosted by authorMITFew starsNo key
Build, solve, and analyze RASON optimization, simulation, data science, and decision models
Node.jsNo licenseFew starsNeeds a key
Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pi
OfficialSkillMIT★ 40k in collectionNo key
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to e
OfficialSkillApache-2.0★ 21k in collectionNo key
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
SkillApache-2.0★ 32kNo key
Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
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