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Tags: LLM tools
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169–192 of 194 · Most stars

DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.

  • benchmark
  • calibration
  • decision-making
  • evaluation

OpenRouter alternative for uncensored AI LLM access — independent RouterHub gives developers one OpenAI- and Anthropic-compatible key for 37 frontier and open-weight models, including GPT, Claude, Grok, DeepSeek and GLM, with published per-token pricing and abliterated or uncensored entries where available.

  • abliterated-models
  • ai-api-gateway
  • ai-model-router
  • ai-models

ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenClaw and custom harnesses.

Modern desktop application (Rust + Tauri v2 + Svelte 5 + Candle (HF)) for communicating with AI models that runs completely locally on your computer. No subscriptions, no data sent to the internet — just you and your personal AI assistant

GLM 5.3 Uncensored — 35 jailbreak prompt files, model guide and API access. One RouterHub key also covers GPT, Claude, DeepSeek, Qwen and Grok.

  • abliterated-models
  • ai-api
  • ai-jailbreaks
  • anthropic-compatible

Uncensored AI models from RouterHub — the website for one-key API access to Claude, GPT, Gemini, Grok, DeepSeek, GLM and Qwen, with uncensored and abliterated variants where available. OpenAI- and Anthropic-compatible. Pay per token.

  • abliterated-models
  • ai-api
  • ai-gateway
  • anthropic-compatible

Manage and use multiple Ollama instances with automatic offline detection/failover and model availability tracking

A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.

Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)