Video & Animation

Use Bisheng to assemble, evaluate, and publish enterprise RAG and agent workflows across internal data, models, and business users.

Use CopilotKit to add agent-native React or Angular copilots with generative UI, shared state, and human-in-the-loop workflow controls.

Use LlamaCloud Services to parse, index, and manage document knowledge pipelines that feed LlamaIndex retrieval and agent workflows.

Compose coding-agent primitives in Rust, including tool execution, LLM streaming, sub-agent orchestration, memory, and MCP support, as an embeddable application workflow.

Ingest documents into Morphik, expose retrieval over AI-app knowledge, and tune document search quality before handing context to agents or RAG workflows.

browser-use is an open-source Python framework for letting AI agents interact with websites through a real browser. It supports local execution, optional cloud browsers, custom tools, and a CLI for persistent browser sessions.

Turn an existing coding agent into a supervised local work assistant that connects to workplace tools, reusable skills, workflows, and scheduled loops.

Use MCP Go to implement typed Model Context Protocol servers in Go that expose tools, resources, prompts, and transport handlers to agent clients.

Runs an existing coding agent behind Slack, Telegram, Discord, Feishu, DingTalk, WeCom, WeChat, or HTTP so teams can invoke real agent sessions from chat without rebuilding the agent stack.

Use browser-use to turn natural-language web tasks into repeatable browser automation backed by Playwright and agent loops. This skill helps an agent open sites, inspect page state, click, type, extract data, and recover from common UI changes with a real automation framework instead of brittle one-off scripts.

Use RAGFlow to ingest complex documents, build governed RAG knowledge bases, and give agents higher-fidelity context for retrieval-augmented workflows.

Use Yao when an operator needs to package an AI agent workflow, hooks, MCP tools, memory scopes, and a reviewable web or chat interface into one deployable runtime.

Uses htmltest to crawl generated documentation or static site output, detect broken internal and external links, and return a link-focused validation report before deploy. This is a narrow docs QA skill for agents validating already-built HTML, not a generic site generator or crawler listing.

Records and replays browser sessions using rrweb recording library with DOM mutation serialization. Integrates with LogRocket API and FullStory Data Export API for session analytics.

Use Arcade MCP to create custom MCP servers and tools with OAuth-aware authorization, evals, and deployment paths for agent tool-calling workflows.

Start, watch, and restart a local stack of app processes together instead of juggling many terminals and ad hoc shell loops.

Scaffold, build, and run MCP servers from a predictable Python project layout with tools, prompts, resources, auth, and OpenTelemetry hooks.

Use Inngest AgentKit to build TypeScript agent networks with deterministic routing, shared state, MCP tools, and local tracing.

Let operators control local Claude Code, Codex, Cursor, Gemini CLI, and other coding agents from Slack, Discord, Telegram, Feishu/Lark, DingTalk, LINE, and WeChat Work.

Browserbase MCP Server gives agents cloud browser control through Browserbase and Stagehand, with both hosted HTTP and self-hosted stdio options. It suits teams that want MCP-based browser automation but prefer Browserbase sessions and Stagehand’s action model instead of running Playwright locally.

Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes.

Give Claude Code a routed skill pack for designing, validating, debugging, and deploying n8n workflows through n8n-mcp.

Use ZCF to initialize, update, and standardize Claude Code or Codex environments with prompts, workflows, MCP services, API settings, and backups.

Run local Slack, Gmail, Google Drive, GitHub, Jira, Notion, S3, and other SaaS API emulators over a controlled corpus so agents and integrations can be tested without vendor accounts, OAuth, secrets, or network calls.