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Renders Mermaid source synchronously to themeable SVG or ASCII/Unicode art for UIs and terminals. Includes 15 built-in themes, Shiki theme extraction, mono mode and zero-DOM dependencies so diagrams render instantly in React, CLIs, or chat/agent UIs.
Native macOS terminal that surfaces and manages AI coding-agent sessions with vertical tabs, pane-level notification rings, a scriptable in-app browser, and a CLI/socket API — Ghostty-compatible and built in Swift/AppKit for low memory and fast startup.
Provides a unified plugin suite that connects OpenClaw AI assistants to Chinese IM platforms (WeChat, WeCom, QQ, DingTalk, Feishu). Focuses on stable messaging, unified plugin API, streaming replies, media handling and configurable delivery modes.
Browser dashboard for OpenClaw Gateways that shows agents, streams runtime events, supports chat and exec approvals, and lets you configure jobs. Runs a small server process (Node + SQLite) and supports local or cloud setups with Tailscale or SSH access.
Native Windows companion suite for OpenClaw that provides a system tray app, shared gateway libraries, and CLI utilities for quick chat, node control, diagnostics, and gateway pairing/observability.
Provides a systematic, project-driven tutorial and runnable codebase for building AI agents, RAG pipelines, and multi-agent systems—focused on Python, LangChain/LangGraph, tooling, deployment, and an interview question bank for engineers aiming to ship production agent applications.
Models an AI agent's context as a file system, unifying memory, resources, and skills instead of flat vector RAG. Uses L0/L1/L2 tiered loading to cut tokens, directory-recursive plus semantic retrieval, and visualized retrieval traces for debugging.
Unified API proxy and protocol gateway that translates and routes requests to Claude, OpenAI Chat/Images/Codex, and Gemini. Offers channel orchestration, multi-key rotation, failover, model routing, and a built-in web admin UI for consolidating multiple model providers behind a single endpoint.
Provides a catalog of NVIDIA-verified, portable “skills” — instruction sets that teach AI agents how to use NVIDIA libraries, models and platform tools. Each skill is published with detached signatures and evaluation artifacts for verifiable reuse in agent workflows.
Generates protocol-bound GEP prompts that guide iterative evolution of AI agent behavior from runtime logs, producing auditable EvolutionEvents and reusable Genes/Capsules. Node.js-based and works offline; optional EvoMap network integration enables skill sharing, worker pools and leaderboards while git provides rollback and validation.
Centralized operations dashboard for OpenClaw agent fleets — orchestrate boards and tasks, manage agent lifecycles, enforce approval-driven governance, and operate gateway-connected runtimes from a single UI and API.
Multimodal OCR and document-understanding toolkit for recognizing complex layouts, tables, formulas and code. Uses Multi-Token Prediction and stable RL for better training; ships as a 0.9B-parameter model with a Python SDK and deployment guides for vLLM, SGLang and Ollama.