The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
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- agent-development-kit
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The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
An open-source visual programming environment for battle-testing prompts to LLMs.
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Formal verification for AI: a Lean 4 + Dafny proof checker that catches fake AI proofs (reward hacking), and verified recursive self-improvement (RSI) for coding agents. AI for math, physics and software engineering.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
BLEURT is a metric for Natural Language Generation based on transfer learning.
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
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
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.
LLM-powered Text-to-SQL evaluation toolkit: schema ingestion, retrieval eval, and standalone SQL judge/re-scorer.
:dog: The open-source Gauge CLI. Hillclimb your Skills, CLI, SDK, MCP, API, or Docs to make something agents want.
LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.