Ai Agents
Showing 36 of 202 projects
A sandboxed automation tool that delegates development tasks to AI coding agents running in isolated containers.
A planning and context engineering system for Claude Code that transforms AI assistants into proactive development partners.
A Go SDK for AI applications providing a unified API across 22+ providers with streaming, structured output, and MCP support.
An AI agent skill providing cheap, comprehensive X (Twitter) data access via 121 REST API endpoints, MCP tools, and bulk extraction capabilities.
A visual AI workflow automation platform with drag-and-drop interface and local LLM integration, requiring no cloud dependencies.
A type-safe AI SDK for Dart and Flutter that provides a unified interface for text generation, structured output, tool calling, and agentic workflows.
A collection of 24 Claude Code subagent prompts and 6 workflow skills for solo developers to automate code audits, fixes, and QA.
A local dashboard for running and coordinating multiple AI CLI agents with live status, session resume, and autopilot routing.
A production-ready SaaS boilerplate built with Go and React, featuring multi-tenancy, Stripe billing, white-label branding, and AI-agent ready architecture.
A collection of AI skills and agents specialized in Django backend development, providing expert guidance and code review.
A macOS accessibility inspector that generates structured, AI-agent-ready output for UI elements in any Mac app.
A proof-of-concept sub-agent orchestration system built entirely within the Gemini CLI using prompt-driven commands and filesystem-as-state architecture.
Persistent memory and autonomous task queue for AI coding agents, enabling cross-session context and global knowledge.
A Swift library for macOS automation with mouse, keyboard control, screenshots, image recognition, and AI-powered agents.
A curated collection of books covering Artificial Intelligence, Machine Learning, Deep Learning, and Transformers for students and professionals.
A Model Context Protocol server for Common Lisp enabling AI agents to interact with Lisp environments via REPL, file operations, and code editing tools.
An AI-powered OSINT platform that extracts entities, visualizes relationships, and uses multi-agent reasoning to analyze documents for intelligence.
A Telegram bridge that lets you control AI coding agents from your phone via voice or text, with live progress streaming and remote approval.
A web application that performs quantitative decision analysis for baseball using in-memory machine learning models and AI agents.
CLI tool for running coding agents inside hardware-isolated microVMs with interactive change review.
MCP server enabling AI agents to interact with Lisp-based development environments via the Lisply protocol for neuro-symbolic programming.
A Python SDK for deploying teams of AI research agents to forecast, score, classify, and gather data at scale.
A CLI framework for orchestrating autonomous AI agent squads with structured context, memory, and feedback loops.
A high-performance AI agent runtime engine that transforms terminal AI tools into production services with persistent sessions.
An MCP server that provides AI agents and LLMs with secure access to the Algorand blockchain for wallet management, transactions, and DeFi operations.
An agentic AI operating system that replaces brittle automations with long-lived, self-improving autonomous systems.
Transforms OpenAPI specifications into multiple AI agent interface formats like MCP servers, CLAUDE.md, and AGENTS.md with a single command.
A comprehensive Go library for building AI agents and applications with unified multi-provider LLM support, tool calling, streaming, and cost tracking.
Give AI agents a wallet, email, phone number, and instant access to paid MCP tools like web search, media generation, SMS, and voice calls.
An AI-native browser automation library using snapshot + ref targeting for deterministic interaction, built for AI agents.
A mobile and desktop command center for controlling AI coding agent sessions across machines via a secure Tailscale connection.
A local-first protocol for AI agents to verify intent, provenance, and evidence before executing high-impact tool calls.
A production-ready Go framework for building type-safe AI agents with structured output, multi-provider streaming, guardrails, and multi-agent orchestration.
A language-agnostic linter that enforces formatting, validation, and synchronization between code, documentation, and configuration.
An agentic stack that provides AI coding assistants with skills and tools to build on the Algorand blockchain.
A lightweight AI agent runtime for Go that lets you define multi-agent crews in YAML and run them with goroutines and channels.
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