Provides runtime support for reversible effects and reactive coeffects so components can be declared, composed, and hot-replaced safely; includes effect tracking, coeffect resolution, a declarative component loader and HMR — aimed at plugin-driven agent harnesses and dynamic systems.
SDK for building browser-based AI agents: expose Playwright-style APIs plus natural-language primitives (act/observe/extract) with self-healing actions, token-efficient accessibility trimming, and runtime extension next to the browser. Supports TypeScript, Python, and Go.
Orchestrates and coordinates multiple coding agents in a shared, cross-device workspace — preserving context, files, and durable artifacts so teams can run parallel agent workflows without losing intent or state.
Runs an AI coding agent that edits, tests, and manages code across terminal, desktop, web, and GitHub repositories. Uses specialized agents and a curated model catalog (DeepSeek, MiMo, MiniMax, GPT-5.6) and offers free access supported by text ads.
JVM framework for authoring agentic flows that mixes LLM-driven prompts with strongly typed domain models and normal code to plan and execute goals. Key features: pluggable planners (GOAP, Utility AI), Spring integration, strong typing, testability, and support for local and cloud LLMs.
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.
Evaluates and optimizes AI agents and language models in containerized environments, supporting large-scale parallel benchmarks and RL rollouts. Integrates with third‑party providers for thousands of parallel environments and serves as the official harness for Terminal‑Bench.
Provides a local-first desktop workspace that runs and coordinates AI agents across your files, browser, and third-party tools with a shared, editable memory. Offers built-in models or bring-your-own-keys, one-click OAuth to 100+ integrations, and browser-driven agent automation.
A curated collection of Korea-focused AI agent skills that enable agents to perform local tasks — ticket booking, public-data lookups, e-commerce and messaging integrations — via prebuilt connectors and an optional hosted proxy for API keys and fallbacks.
Connects an LLM to a real browser over an editable CDP websocket so the agent can drive clicks, navigation, and generate missing helper code during tasks. The harness self-heals by writing reusable helpers, supports local or cloud browsers, and can optionally record sessions for debugging.
Orchestrates multiple LLM-backed agents locally using tmux and per-role git worktrees, converting role prompts into coordinated development workflows. Key features: configurable two-/four-/six-pack workflows, a durable handoff protocol, per-role backend selection and observable terminals.
A curated collection of production-ready Agent Skills that turn tasks—presentation production, image generation, local KB retrieval, article assembly, and web-design—into agent-loadable skill folders. Uses a SKILL.md contract, supports multiple agent runtimes (Claude Code, Cursor, Codex), and offers modular install paths with pinned release zips.