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Features

Five layers of context for your connected AI tools.

Vilix AI gives supported clients access to shared memory, project state, personal rules, reusable skills, and an inbox for your running agents. Connect each client via MCP, enable its tools and add the memory instructions. Context is retrieved and saved when the client makes those calls.

Memory

Cross-tool memory

One memory across Claude, Codex, Cursor, OpenClaw, Hermes and other connected clients. Semantic and keyword search over the conversations saved to Vilix AI.

  • Connected agents retrieve relevant saved context with get_context before answering.
  • Auto-memory instructions ask the agent to save each completed exchange; client approvals still apply.
  • Search by meaning or by keyword, find what you said last month in seconds.
  • Source-aware: Vilix remembers which tool a thought came from, so retrieval stays grounded.
Example
Monday, in ChatGPT

Brainstorm a launch plan for the new pricing tier.

Thursday, in Claude

Continue the launch plan.

Claude already has Monday's plan, every decision, every constraint, without you pasting a thing.
Projects & Tasks

Project state across your connected agents

A lightweight project manager whose state auto-injects into context. Every connected AI sees what is active, blocked, or done, without you re-explaining the work each time you switch tools.

  • Create projects with project_rules, per-board stack, conventions, instructions available to connected clients working on that project.
  • Add tasks with state (todo, doing, blocked, done) and priority (low, normal, high).
  • The active project's full state is injected on each new chat, any AI sees what's open.
  • Full CRUD from any AI tool, your assistant can read, add, update, and close tasks.

Project boards are organized task views any connected AI can read, separate from your always-on memory, which is never limited by how many projects you have. See plan limits on the pricing page.

Example
In Cursor

Mark the auth task as done and start the billing task.

Later, in ChatGPT

What am I working on?

ChatGPT lists the active project, the current task, and what is still blocked, pulled live, not guessed.
user_rules

Your preferences across connected tools

Personal instructions supplied to connected clients through context retrieval. Set them in Vilix AI and enable the memory workflow in each client. Included on every plan, with up to 20 rules per account.

  • Plain-English rules: "Short answers", "No tables", "Always show code first".
  • Available through context retrieval in connected clients; the client must follow them.
  • Edit, add, or remove from any AI tool at any time.
  • Up to 20 rules per account, Free included.
Example
Set once, from any AI

"Keep answers short. Always call me boss."

Every chat after

ChatGPT, Claude, Cursor, Codex, all start with those rules already in context.

Stop re-pasting your style preferences into every new conversation.
Agent Skills

Reusable procedures for your connected agents

Agent Skills are reusable how-to procedures saved in your Vilix memory. Write down how a recurring task is done, once, and ChatGPT, Claude, Cursor, Codex, GitHub Copilot, and any connected AI loads the exact steps on demand instead of winging it.

  • Save a skill from any AI tool: the steps, the conventions, the gotchas, in plain language.
  • Every connected AI sees your skill index and loads the full procedure exactly when the task comes up.
  • Scope a skill globally, so it is available in every chat, or to a single project.
  • Stop re-explaining the same procedure to every agent. Write it once, it travels with you.
Example
Once, in Claude

Save a skill: how to check active users. The exact query, what counts as active, who to exclude.

Weeks later, in Cursor

Check active users.

Cursor loads the skill and runs the exact procedure you wrote, the right way, with nothing re-explained.
Agent Inbox

Push work to your own agents from anywhere

Send a message to your own running agents from any connected client, including your phone. Vilix delivers it inside the inbox field of the agent’s next memory read, so an always-on agent picks up the work on its own without you babysitting a session.

  • Send from any connected client (your phone, ChatGPT, Claude, Cursor, Codex), the agent reads it on its next memory check.
  • It rides the next read: the message arrives in the inbox field the next time the agent calls get_context, a search, or get_project.
  • Scope it globally to all your agents, to one project or task, or to a single tool like Claude Code.
  • Normal urgency delivers once, then it is done. Urgent redelivers on every read until the agent calls ack_message or it expires.
Example
From your phone, on the go

Tell my coding agent: the staging deploy is green, start the smoke tests.

Minutes later, the agent’s next read

get_context returns your note in the inbox field, no new session needed.

Your always-on agent picks the task up on its own next read and runs it, no babysitting and no copy-paste.

One memory for the clients you connect.

Connect each client via MCP. With memory tools enabled, it can retrieve your memory, your project state, your user_rules, and your Agent Skills.

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