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mozilla-ai / otari

Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.

▲ ~28/7d ★ 719 Python today
0xNyk / council-of-high-intelligence

Structured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.

▲ ~7/7d ★ 4.7k Shell 3d ago
katanemo / plano

Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic.

▲ ~0/7d ★ 7.1k Rust 15d ago
ollaya-dev / ollaya

Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.

▲ ~0/7d ★ 1.4k Rust today
AbdelStark / awesome-typesafe-jev

Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.

▲ ~0/7d ★ 600 HTML 3d ago
Chengjun023 / agent-smith

Token 超支?快给史密斯打电话! Better Call Smith. Adaptive model routing, a glassy Codex usage monitor, and reproducible benchmarks with receipts.

▲ ~0/7d ★ 301 Python 21d ago
angel291592 / Intent-Router

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

▲ ~0/7d ★ 49 Python 1d ago
intikhab49 / open-jev-typed-decision-engine

Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.

▲ ~0/7d ★ 46 Python 16d ago
sauravsingla / agentweave

Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware routing and recovery.

▲ ~0/7d ★ 42 Python 24d ago
LAMDA-Model-Reuse / SaveRouter

Sparse-supervision LLM routing that accounts for upfront feedback acquisition and deployment payback.

▲ ~0/7d ★ 26 Python 8d ago
zencefilefendi / kadi

⚖️ Kadı — a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (≤ α disagreement with the oracle); everything else escalated and learned from. Zero-dependency Python.