MARVIS-Agent Tell MARVIS what risk decision you need. It turns local data into governed analysis, models, strategies, and audit-ready deliverables.
★ 0◌ 0
MARVIS-Agent Tell MARVIS what risk decision you need. It turns local data into governed analysis, models, strategies, and audit-ready deliverables.
A collection of AI agent skills focused on resume optimization, job applications, and career development. Built for job seekers, career changers, and professionals who want Claude Code to help with resume writing, ATS optimization, interview prep, and strategic job search.
Kheish Persistent agent runtime and control plane for long-lived, tool-using AI workflows. --- Kheish enforces one rule: Everything else in this README is a consequence of that single invariant.
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy.
Prompt with an image/video → Get runnable vision code → Build Visual AI App in minutes Discord · Architecture · YouTube VisionAgent is the Visual AI pilot from LandingAI. Give it a prompt and an image, and it automatically picks the right vision models and outputs ready‑to‑run code—letting you build vision‑enabled apps in minutes.
Robust Go framework for building intelligent multi-agent AI systems The most productive way to build AI agents in Go. AgenticGoKit provides a unified, streaming-first API for creating intelligent agents with built-in workflow orchestration, tool integration, and memory management.
A collection of prompts for AI-assisted development with Claude Code. https://www.youtube.com/watch?v=KVOZ9s1S9Gk&lc=UgzfwxvFjo6pKEyPo1R4AaABAg Found value in these resources?
An open-source visual environment for battle-testing prompts to LLMs. ChainForge is a data flow prompt engineering environment for analyzing and evaluating LLM responses.
This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
• Documentation • PowerShell-Native AI Agents & Multi-Agent Orchestration PSAI is a high-agency framework designed to bridge the gap between robust systems engineering and Large Language Models. Built for developers and architects, it transforms AI from a "chatbot" into a functional engineering component within your existing PowerShell ecosystem.
Version, test, and monitor every prompt and agent with robust evals, tracing, and regression sets. --- This library provides convenient access to the PromptLayer API from applications written in python.
go-agent is a Go framework for building AI agents with pluggable LLM providers, memory, file context, guardrails, UTCP tool orchestration, and multi-agent coordination. Use it when you want agent runtime pieces that stay idiomatic in Go: For this repository: The module currently targets Go 1.25.10.
Solace Agent Mesh Open-source framework for building event driven multi-agent AI systems Star ⭐️ this repo to stay updated as we ship new features and improvements. Key Features • Quickstart • Next Steps • Docs --- Solace Agent Mesh is a framework that supports building AI applications where multiple specialized AI agents work together to solve complex problems.
) Docs · Playground · LandingAI The official Python library for the LandingAI Agentic Document Extraction (ADE) API. Parse PDFs and images into structured, grounded Markdown, then extract typed fields with a JSON Schema or Pydantic model.
agent-desktop is a native desktop automation CLI designed for AI agents, built with Rust. It gives structured access to any application through OS accessibility trees — no screenshots, no pixel matching, no browser required.
A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.
An Agent Skill that transforms AI assistants into expert economics paper writers, synthesizing best practices from 50+ authoritative guides by Nobel laureates, Clark Medal winners, and leading economists. --- Econ Writing Skill is an open-source Agent Skill that gives AI coding assistants deep knowledge of how to write economics papers.
This monorepo contains a set of dev-friendly, framework agnostic components offering 3 main capabilities: Framework integration packages: The library offers a set of small, focused building blocks. Purpose: turn messy model output into typed PHP data.
Confines untrusted code using Landlock (filesystem + network + IPC), seccomp-bpf (syscall filtering), and seccomp user notification (resource limits, IP enforcement, /proc virtualization). Sandlock targets the gap: strict confinement without image builds or root privileges.
Metorial (YC F25) Open-source identity and access layer for AI agents. Connect agents to real systems with consistent auth, permissions, and observability.