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SandBase Harness: Local-First AI Agent Runtime with Sandboxed Sessions
SandBase Harness is a local-first, self-hosted runtime for AI agents, offering sandboxed sessions, memory, and credentials. This TypeScript-based project provides a robust infrastructure for managing and observing AI agents, ensuring auditability and secure execution on your own machine or infrastructure.

Declarative Agents: Profile-Driven LLM Agent Runtime in Go
Declarative Agents by Nokia Bell Labs offers a profile-driven runtime and design patterns for building tool-augmented LLM agents. It allows defining agents, their tools, states, and transitions via YAML profiles, eliminating the need for code changes for workflow alterations. This Go-based framework promotes flexible and dependable agent development.

OpenWorkProof: Verifiable Work Contracts for AI Agent Systems
OpenWorkProof is an open protocol designed to bring transparency and accountability to AI agent work. It establishes verifiable contracts for multi-agent systems, ensuring that tasks are authorized, executed within agreed scopes, and independently verifiable. This protocol addresses critical questions about authorization, execution evidence, and human acceptance in AI-driven workflows.

Orkas: Command a Team of AI Agents from Your Desktop
Orkas is an open-source, local-first AI desktop application designed to orchestrate a team of specialist AI agents. It allows a Commander LLM to direct sub-agents and run coding CLIs locally, with agents that self-evolve through reflection and skill crystallization. This cross-platform tool supports macOS, Windows, and Linux, empowering users to manage complex tasks efficiently.

A3M Router: Biology-Inspired LLM Routing for Cost Savings and Performance
A3M Router is an open-source, biology-inspired LLM router designed to optimize costs and performance across over 80 providers. It leverages principles like swarm intelligence and neural plasticity to offer adaptive, resilient, and cost-effective AI routing. This tool helps users save significantly on AI costs by intelligently selecting the best model for each query.

DA-Forge: Streamlining Declarative Agent Creation for Copilot Notebooks
DA-Forge is a Python-based tool by Microsoft designed to automate the creation and deployment of Declarative Agents for Copilot Notebooks. It significantly reduces the manual effort and time required to set up AI assistants with specific grounding references, transforming an 85-minute process into just a few minutes. This tool is essential for developers and researchers working with Copilot Notebooks and Declarative Agents.

DeclarAgent: Declarative Runbook Executor for Safe AI Agent Workflows
DeclarAgent is an innovative declarative runbook executor specifically designed for AI agents. It enables agents to validate, dry-run, and safely execute multi-step YAML workflows. This tool provides a structured, auditable, and secure way for LLM agents to interact with real CLI workflows, enhancing their operational safety and reliability.

Intent-Plane: Fail-Closed Authorization Gate for AI Agent Actions
Intent-Plane is a fail-closed authorization gate designed for AI agents performing irreversible actions, ensuring every decision is deterministic and auditable. It provides a durable record that third parties can re-verify independently, without needing to trust the gate's internal code. This system is crucial for applications in fintech, payments, and treasury, where accountability and security are paramount.

Curie: Automated and Rigorous Scientific Experimentation with AI Agents
Curie is an innovative AI-agent framework designed for automating rigorous scientific experimentation. It streamlines the entire research lifecycle, from hypothesis formulation to result interpretation, ensuring precision, reliability, and reproducibility. This empowers scientists to accelerate their research processes significantly.

Awesome Automated AI/ML: Your Curated Guide to AI/ML Automation Tools
Awesome Automated AI/ML is a comprehensive, curated list featuring over 300 tools for automating various aspects of AI and Machine Learning. It covers everything from hyperparameter optimization to autonomous AI agents, offering a dynamic resource for ML engineers, AI researchers, and product builders.

SkillSpector: NVIDIA's Security Scanner for AI Agent Skills
SkillSpector is a critical security scanner developed by NVIDIA for AI agent skills. It identifies vulnerabilities, malicious patterns, and various security risks, including prompt injection and data exfiltration, in skills for platforms like Claude Code, Codex, and MCP. This tool empowers developers and users to ensure the safety and integrity of AI agent environments before skill installation.

Skill Recorder: Turn Screen Recordings into AI Agent Skills
Skill Recorder is a desktop application that captures your on-screen work sessions, including clicks and app switches. It leverages the GitHub Copilot CLI to analyze these recordings, reconstructing them into an intent and ordered steps. This process allows users to generate reusable AI agent skills or automations for platforms like Microsoft Scout, Copilot Cowork, or Copilot Studio.