v2.0.6 · Apache-2.0
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
v0.1.0 · no license
Deterministic knowledge for AI agents: search, fetch, cite and verify a 48M-entry knowledge base.
v0.3.8 · Apache-2.0
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
v0.3.8 · Apache-2.0
Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.
v1.0.0 · no license
Open-source GRC toolkit from the GRC Engineering Club. Claude Code plugins for evidence collection, SCF crosswalks, multi-framework gap reports, OSCAL workflows.
v1.17.2 · MIT
One session. Two commands. Full team. Zero meetings.
v2026.04.26.2 · MIT
Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.
v4.12.4 · MIT
Structured project lifecycle plugin for Claude Code — from idea to production with discipline, parallel agents, and quality gates.
v0.0.0 · Apache-2.0
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
— · Apache-2.0
ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.
— · Apache-2.0
Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together.
v0.12.1 · Apache-2.0
Secure, reproducible sandboxes for AI agent evaluation, training, and data synthesis.
— · MPL-2.0
One place to manage & connect to all your MCP servers
— · MIT
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
v1.25.0 · AGPL-3.0
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
— · MIT
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can pe
— · MIT
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FO
— · MIT
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment
— · MIT
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration
— · MIT
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure inf
v0.13.10 · Apache-2.0
Agent-native TypeScript framework for MCP servers. Includes runtime infrastructure and agent skills for building, testing, and shipping servers.
v1.3.1313 · MIT
Coherence infrastructure for self-evolving AI agents — on the Claude Code or Codex subscription you already have.
— · MIT
End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles movin
— · MIT
Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local services, stack compatibility, and deployment feasibility. Answers questions about what your app needs before it can be deployed — framework