llm-ensemble

Open-source implementation of AlphaEvolve

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.

A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"

CodeEvolve is an open-source evolutionary coding agent for algorithm discovery and optimization.

🧠 A council of AI models for the decisions that aren't no-brainers — they answer in parallel, debate to consensus, or get judged to a verdict. Browser-only, open source, bring your own keys (BYOK), no backend.

Ask, compare, and synthesize across 10 LLM providers. Python SDK, CLI, local Arena, MCP, and privacy-aware

Multi-AI consensus MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel and synthesizes responses to reduce bias and improve accuracy. A Python implementation of the wisdom-of-crowds approach for AI decision making.

[ICML2026] The official code of "Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale"

Self-hosted Fusion API and OpenRouter Fusion alternative for building reliable multi-model LLM ensembles — fan out one prompt to N models, then synthesize one answer with a judge model. OpenAI-compatible API, CLI, and eval harness.

Multi-model deliberation as a Swift primitive — ask several LLMs one question, blind peer review, a divergence score, and the dissenting view.

Official code for When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling (ICLR'26)

Fuses two System-1 decision models (Laya + Jev) into one auditable verdict — confidence-weighted fusion, disagreement escalation to a local adjudicator, append-only JSON decision logs.

Agent Huddle: multi-model AI discussion and LLM deliberation workspace for layered reasoning, AI agents workflows, and OpenAI-compatible model orchestration.

OpenAI-compatible multi-LLM ensemble proxy with Chairman fusion. Drop-in for any chat completions client.

One AI assistance architecture, stated so it can be run: isolated generation, blind consolidation, and two critics from different vendors. Accompanies SSRN 7120940.

Open-source Multi-LLM Ensemble & Scripture RAG platform delivering Bhagavad Gita guidance with zero-hallucination, page-level citations across 5,000+ commentary pages. Built with FastAPI, Next.js 15, and Weaviate.

End-to-end Python research pipeline replicating "Beyond Benchmark Rankings": treats LLM selection as portfolio construction rather than leaderboard ranking. Estimates marginal utility, informational novelty, and correlated-failure risk per model, then runs budget-feasible greedy optimization to select LLM ensembles.

Monju Reasoning Core — MRRA Technical Report. Auditable Reasoning Control Architecture for Role-Specialized LLM Ensembles.

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-model test-time scaling with independence enforced and the judge kept separate from the panel.