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Evaluate and improve models and agents using environments

Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

The Microsoft 365 Agent SDK simplifies building full stack, multichannel, trusted agents for platforms including M365, Teams, Copilot Studio, and Webchat.

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers (aka The Norton for OpenClaw)

Open-source alternative to Claude Agent SDK, ChatGPT Agents, and Manus.

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

The foundation layer for agentic intelligence.

Polyglot workflows without leaving the comfort of your technology stack.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

data-to-paper: Backward-traceable AI-driven scientific research

The most autonomous AI agent framework: runs unattended on GitHub Actions, self-healing skills, drives Claude Code, Grok, Codex & more. No approval loops. Configure once, forget forever.

Conversational voice AI agents

Autonomous Android and computer use using any LLM (local or remote)

local multi-agent harness

Semantic DataFrames for humans and agents

Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

kubectl for AI Agents

#1 open-source code reviewer on Code-Review-Bench

Convert Any OpenAPI V3 API to MCP Server

Daydreams is a set of tools for building agents for commerce

Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.

Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.

The lightweight framework for building agents

The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.

Chat snowflake - Text to SQL