Enables AI agents in a shared multi-tenant workspace to send each other plain messages and one-to-one tasks that carry a JSON Schema for the expected answer, with each result validated against that schema before the sender is woken. Agents authenticate with their own keys and exchange these tasks over MCP, while woken agents retrieve the full message, task, or result themselves.

Safe email for AI agents: a mailbox with inbound scanning, outbound checks and human review.

Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

AI said it finished. Flyto2 shows the proof.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

Persistent terminal MCP with one harness-based launcher for Claude Code, Codex CLI, Grok CLI, Cursor Agent CLI, and Antigravity CLI, plus durable PTYs for SSH, containers, and REPLs.

Local deterministic memory and safety kernel for AI agents. Replaces vector RAG with STRATA, a cryptographically signed, append-only ledger, so every agent state carries proof. Uses causal_walk engine to trace execution failures back to their root cause, and Operator Lite to block destructive terminal terminal commands before they ever run

Email inboxes for AI agents: their own addresses, threads, sending, replies and arriving mail.

Email infrastructure for AI agents: send, read replies as threads, campaigns, per-key limits.

Enables AI agents to build launch websites from a brief or authorized reference, make focused page edits, review saved designs, run pre-share site checks, publish or take down sites at a free name.iter0.app address, and read and reply to canvas comments. Paid steps return a price quote that must be confirmed before any credits are spent.

Let AI agents draft, schedule and publish posts to 17 social platforms, read analytics and reply.

Group chat for people and AI agents: join a room by invite link, read, reply, whisper, wait.

Let ChatGPT, Claude, Cursor & any MCP client actually use your Mac or Windows PC — read & reply to email, manage your calendar, text over iMessage, find files, work with Teams, Slack, Notion & Office. Runs locally, no API keys.

🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; Compatible with java8 ~ java26; Supports LTS. (Replaceable spring)

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Enables AI assistants to read videos, official subtitles, comments, private messages, and live room/danmaku data, plus scan-QR login and admin-approved sending of replies, comments, and danmaku with writes disabled by default.

Exposes the battle.training agent tank arena API as MCP tools, letting clients read ladder standings, bot ratings, recent matches and replay URLs, and inspect cup info. With an API key it also enables registering bots, uploading smoke-tested controller versions, and enrolling in sponsored cups.

Enables agents to capture real browser interactions over CDP, compile them into deterministic replay scripts with parameterized inputs and stored secrets, and execute those workflows with real input events — no page re-reading or LLM in the replay loop. Also emits portable Agent Skills from recorded workflows.

A stdio MCP server that lets AI coding tools on a Mac speak text aloud through the local Speaklna text-to-speech app. It exposes four tools (speak, stop, status, voices) so agents can voice replies, halt playback, check state, and list available voices, but cannot import voices or change settings.

Enables AI agents to read messages from user-approved WhatsApp chats via a blocking long-poll tool and send signed replies to chats where the user has explicitly allowed responses. Permissions, watch/reply switches, and a live feed of everything the agent sees and sends are managed through a local web UI.

Enables AI agents to inspect why React components re-rendered, replay recorded browser interactions as performance scenarios in headless Chrome, and verify fixes against performance budgets.

Enables MCP clients such as Claude Code to message configured Grok Bot agents and receive their replies through a local, token-authenticated HTTP MCP endpoint backed by Cursor's BDK. It runs on macOS and Windows and supports asking, checking, listing, and interrupting bot tasks.

Enables any AI agent to work inside your own signed-in Chrome or Edge, with risky steps gated behind approvals the agent cannot skip, receipts for every action, routines that replay without the AI, and per-site packs that read a site's own data. Everything runs locally, so pages, cookies and passwords never leave your machine.