1.Ikaleio / lm-detector
Model fingerprint detection with a shared Web and Bun CLI reference bank
Ranked by Attention Score: stars gained over the last 7 complete days
20 repositories by Attention Score · Oct 30, 2026 – Nov 5, 2026 (UTC)
Model fingerprint detection with a shared Web and Bun CLI reference bank
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
Benchmark for tracking model capability after release.
GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard | Fable 5 Level Coding for a Fifth the Price - or on a Single GPU
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
A framework for few-shot evaluation of language models.
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
Evolved DSH plugin harnesses for five agent benchmarks, with versioned artifacts, evolution curves and Life-Harness comparisons
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Open-source observability for AI agents. Find where your agents fail, dispatch your coding agent to fix it, and verify the fix against real traces.
Feather agent harness, training integrations, and evaluation tools for knowledge work
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
Framework-agnostic evaluation harness for Go — test your MCP servers and AI agents with scored, CI-ready checks.