#ai

A command-line tool to scaffold and manage enterprise-ready AI Agents powered by the A2A (Agent-to-Agent) protocol

A secure, self-improving agent operating system in a single Go binary. Bring any model, manage local models, point it at a goal, and grant it real authority: every action is sandboxed, governed, and sealed into a verifiable, tamper-evident record an independent party can check. Runs interactive or 24/7, or embed it in your own system.

Git-native issue tracker for AI agent workflows. Zero dependencies, JSONL storage, Bun runtime.

Run AI workflows locally. Or deploy them anywhere. AI agent framework in YAML — workflow pipelines + autonomous agent loop. NVIDIA Inception member. Build, deploy, export as Docker/K8s/ISO.

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.

AI coding agents forget. They forget across sessions, and they forget across tools. A decision you reached in Claude Code at midnight is invisible to Cursor the next morning. Honeycomb fixes that. Learn something once; recall it everywhere,

Anthropic Claude API wrapper for Go

Generative image model runtimes for MLX.

The opinionated high performance professional-grade AI package for Go

Universal command-line tool for managing iOS and Android devices, simulators, emulators and apps

Lightweight AI agent library. Turn Python functions/classes into AI tools instantly. No verbose configs or complex abstractions.

Pi extension for async subagent delegation with truncation, artifacts, and session sharing

Model Context Protocol (MCP) server providing platform context and tools to AI assistants.

Full-featured MCP support for Ruby and RubyLLM—making it easy to build structured, composable LLM workflows in pure Ruby.

Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..

Regression testing for Claude Code and Codex agents.

Open-source local MCP connector for intervals.icu (Go binary)

Monorepo tooling that works directly with Bun, pnpm, and npm workspaces and orchestrates package.json scripts, with a CLI and TypeScript library API. Zero required config. AI-friendly and human-friendly documentation. (formerly bun-workspaces)

A .NET typesafe implementation of Bland.ai's Calls API

An async thread-safe singleton for Bland.ai's HTTP client

PHP library for building agentic applications.

Aiden — Autonomous AI agent that operates your computer with prompts: browser control, terminal execution, workflows, tools, recovery systems, and persistent memory. Built solo. AGPL-3.0.

AI Elements Vue is a component library built on top of shadcn-vue to help you build AI-native applications faster.

Shell Superpowers for AI Agents.

Excelize is a C# port of Go Excelize library that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files.

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Shared memory for your team's coding agents

Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get fully interpretable trajectories and performance that scales directly with model improvements. Without context rot.

Our vision is to provide communication capabilities for intelligent agents, allowing them to connect with each other to form a collaborative network of intelligent agents.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application.