AI Agent2025
Declares and installs agent dependencies from an apm.yml manifest—skills, prompts, agents, plugins and MCP servers—with transitive resolution, security auditing, plugin packaging, and cross-host registries so agents are reproducible across repos.
AI Agent2025
Embeds a GUI agent in your web page as client-side JavaScript, letting users drive the interface with natural language — it reads the DOM as text (no screenshots) and performs clicks and form fills. Bring your own LLM; no extension or backend required.
AI Infra2025
Provides Gymnasium-style APIs and tooling to run isolated, networked execution environments for agentic reinforcement learning. Offers async/sync EnvClients, Docker/Kubernetes container providers, a web UI and CLI for scaffolding and deploying environments (Hugging Face Spaces); experimental and evolving.
AI Infra2025
Provides a Gymnasium-style API and tooling to create, deploy, and interact with isolated execution environments for agentic RL training. Includes async/sync clients, a web interface, CLI, Docker-based deployment, and Hugging Face Spaces integration.
AI Agent2025
Enforces a brainstorm → plan → test-driven → review workflow on AI coding agents instead of letting them jump straight to code. Ships as composable skills that auto-trigger by context and run across Claude Code, Cursor, Copilot CLI, Gemini and more.
AI Agent2025
A dependency-aware issue tracker for AI coding agents that stores tasks as a version-controlled graph in a Dolt database, so agents keep context across long-horizon work. Content-hash IDs prevent merge conflicts when multiple agents edit in parallel.
MCP Server2025
Provides a unified integration layer that lets AI agents call and manage third‑party service APIs while keeping credentials and approval workflows out of the agent's reach. Offers plugin-based integrations, per-tenant envelope encryption (KEK), configurable permission modes, and an optional Hub to host OAuth/webhook surfaces.
AI Client2025
Transforms enterprise architecture governance into a structured, AI-assisted workflow covering principles, requirements, risk, procurement and design reviews. Bundles templates, CLI/plugins and autonomous research agents (MCP integrations) to keep traceability and compliance.
AI Client2025
Terminal-based coding agent that reads and edits code, runs shell commands, and fetches web pages while planning multi-step tasks autonomously. A Ctrl-X toggle drops into a raw shell, and ACP support plugs it into Zed and JetBrains IDEs.
MCP Client2025
Capture file/component/HTML context from any React UI element with a keystroke so coding assistants get precise, paste-ready snippets. Works in development mode, offers plugin hooks and MCP integration, and targets faster/more accurate LLM-assisted coding workflows.
AI Agent2025
Builds knowledge-grounded AI agents by combining hybrid RAG retrieval with a visual, block-based workflow editor, keeping question-answering tied to your own data. Supports document import, reranking, MCP, and self-hosted deployment.
MCP Client2025
Discovers MCP servers already configured in Cursor, Claude, Codex and other editors, then calls their tools from TypeScript or the CLI. Can also turn any server into a standalone command-line tool or a typed TypeScript client.