MCP servers and skills: search, filter by where they run, and compare.
1–24 of 74 tools for “mixture-of-agents”
Clear allLayered Mixture-of-Agents consensus synthesizer & quality amplifier (Together MoA style)
SkillLink only★ 8
Dynamic Mixture-of-Agents LLM orchestrator that runs 100% locally on 8GB VRAM (Ollama, no API keys).
SkillApache-2.0★ 1Few starsNo key
🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node
Node.jsMIT★ 538No key
Governed verification and synthesis for Massive Intelligence (IM) outputs: configurable Thinker, Worker, and Verifier panels, model-as-judge, and Ed25519-signed, SHA-256-chained tamper-evident verdict
Node.jsApache-2.0★ 1Few starsNo key
Mixture of Agents for BB: advisor models answer first, then an aggregator reads their notes and does the work.
SkillMIT★ 2Few starsNo key
Multi-model committee (Mixture-of-Agents) for Claude Code — your agent chairs up to 4 heterogeneous LLMs to blind-review, decide & brainstorm in parallel, with evidence-driven convergence for more rel
SkillMIT★ 1Few starsNo key
SOTA NPM module for agentic processes using local or cloud LLMs.
SkillMIT★ 5No key
Sparse Mixture-of-Experts (MoE) router and code reasoning engine (Mistral style)
SkillLink only★ 8
Mixture-of-Agents vote arbiter for consensus answer
SkillLink only★ 9
Metis (μῆτις) — distributed cognitive layer over any LLM. Understanding Council → confidence gate (fail-closed) → layered MoA → verifier-with-retry, with DGPD depth gating, memory, economy metering, a
PythonMIT★ 3Few starsNo key
Multi-step sequential thinking MCP server powered by large language models — structured reasoning with self-MoA and iterative thinking modes
SkillMIT★ 1Few starsNo key
A Hermes Agent skill for high-stakes decision escalation, multi-model synthesis, and verification-first agent workflows.
SkillLink only★ 2Few stars
Multi-agent topology patterns for AI agents: orchestrator-worker, planner-executor, evaluator-optimizer, map-reduce, router, debate, swarm. Mirror of topologyindex.com + Agent Skill.
SkillCC-BY-4.0Few starsNo key
A Claude Code skill that fans one hard question out to several frontier models (GPT-5.5, Gemini, Kimi, GLM) blind and in parallel, then has Opus 4.8 judge and synthesize one grounded answer. Multi-mod
SkillLink onlyFew stars
Curated collection of LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents and more
SkillApache-2.0★ 2Few starsNo key
Mixture — a deliberately-small, layered skills + agents framework for Claude Code (skills, session memory, multi-agent task runtime). Install via npx.
SkillLink onlyFew stars
Install FreeLLMAPI + configure Hermes Agent MOA (Mixture of Agents) for SOTA-class LLM performance at zero model cost. Includes setup guide and reusable SKILL.md.
SkillLink only★ 4Few stars
Open-source language model built from scratch in PyTorch. Purpose-built for cybersecurity, with code + general language + math reasoning folded into the v1.0 corpus (516K records, ~363M tokens, six do
PythonMIT★ 5No key
Codex Skills for version-pure PFC2D/PFC3D 5.0 asphalt-mixture modeling, FISH scripting, calibration, Burger contacts, Marshall and rutting tests, and reproducible post-processing.
SkillMIT★ 26No key
PyThermoModels thermodynamic calculations exposed through MCP.
PythonApache-2.0★ 1Few starsNo key
A local LLM chat and lab for llama.cpp and the FLE engine: GGUF model loader, live inference data, launch profiles, MCP tools. No account, no telemetry. macOS, Linux and Windows.
PythonMIT★ 2Few starsNo key
Substrate-based context compaction for Claude Code. Inspectable signal weights, local-only, MCP-ready. Alternative to /compact + hook-based capture (claude-mem, etc.).
PythonMIT★ 5No key
Fully local AI coding workstation: a 35B MoE model (Tiel-Coder) at 200k context on a single 12 GB GPU, 35–40 tok/s, without slowing your desktop. Tuned llama.cpp, MoE expert cache, TurboQuant fix, per
SkillMIT★ 4Few starsNo key
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