Brings Gemini models into the terminal as an agent that reads files, runs shell commands, and edits code in place. Includes Google Search grounding, MCP server support, and a free OAuth tier (60 req/min, 1,000 req/day) with a 1M-token context window.
A curated index of community resources for Claude Code — skills, hooks, slash commands, agent orchestrators, and plugins. Entries live in a source-of-truth CSV that generates the README; submissions are bot-checked, then manually vetted by the maintainer.
Provides MCP servers and agent skills that let AI assistants query, correlate and safely manage UniFi controllers (Network, Protect, Access). Includes a Cloud Relay for multi-location access, an independent REST/GraphQL API, secret redaction and preview-then-confirm mutation flows for safer automation.
Official Go implementation of the Model Context Protocol for building MCP servers and clients. Tool handlers are type-safe, with JSON schemas inferred from Go structs via generics. Ships stdio, command, streamable-HTTP, SSE, and in-memory transports.
Builds production-grade AI agents and multi-agent workflows in .NET and Python, with graph-based orchestration for sequential, concurrent, and handoff patterns. Unifies Microsoft's Semantic Kernel and AutoGen lineages, adding durable, checkpointed runs.
Federates MCP, A2A, and REST/gRPC backends behind a single gateway endpoint with centralized discovery, governance, and observability; optimizes agent and tool calling. Includes gRPC→MCP translation, plugin extensibility, OpenTelemetry tracing, and Kubernetes-ready deployment.
Transforms research papers, natural-language specs, and technical descriptions into runnable code via a multi-agent system. Covers Paper2Code, Text2Web, and Text2Backend; scores 75.9% on OpenAI's PaperBench, ahead of top ML PhDs.
Exposes Azure DevOps resources (projects, repos, pipelines, work items, wikis) to AI agents via an MCP server; remote-first (hosted HTTP endpoint) with an optional local stdio Node.js server for VS Code and domain-filtered toolsets.
Builds production AI agents around a model-driven loop with provider abstraction, tools, guardrails, streaming, MCP, tracing, and multi-agent patterns across Python and TypeScript SDKs.
Turns Chromium into a local-first AI browser with an embedded assistant that can summarise pages, extract structured data, automate web tasks, and run scheduled agents. Built as an open-source Chromium fork with 53+ built-in browser tools, 40+ app integrations, and support for BYO AI keys or fully local models (Ollama / LM Studio).
Interactive terminal-native AI coding agent that generates, edits, and runs code while managing multiple model providers and optional durable execution. Privacy-first design with local model support, round-robin model distribution, and a flexible agent system for custom workflows.
Wraps Claude Code as an MCP server that orchestrates 100+ specialized agents into self-organizing swarms — hierarchical, mesh, or adaptive consensus — backed by persistent vector memory, coordination hooks, and secure cross-machine federation.