Crow
Crow is a modular, agentic framework and MCP platform that integrates with the services and AI tools you already use — run on hardware you own, with local or cloud models.
Works With
Crow connects to any AI client that supports the Model Context Protocol. One platform, every assistant.
Use it two ways — or both at once
Crow's two halves share the same memory, projects, files, and capabilities. One system of record, two modes of access.
Build Your Own Agents
The Bot Builder lets you compose an agent from a persona, skills, tools, and permissions, then run it over email, Discord, or Meta glasses. Each agent is scoped to the tools you grant it, and opt-in self-authoring stays behind an operator-approval gate.
Connect Your AI Client over MCP
Crow connects to the AI clients you already pay for — Claude Code, claude.ai, Cursor, Windsurf, Cline, and any MCP-compatible client — as a native MCP server. It rides your existing subscription as a first-class connector: the supported extension point, not a third-party harness you run instead of your client.
Capabilities
Everything you need for persistent, cross-platform AI work. A bundle is the unit of capability: a service plus its MCP tools plus its skills. Install it once and it is available everywhere you use Crow — your agents, your connected AI clients, and the dashboard.
Persistent Memory
Your AI assistant remembers across sessions. Full-text search, categorized recall, and context that persists no matter which platform you use.
Research Pipeline
Save sources, generate APA citations, build bibliographies, and manage research projects. Academic-grade source management built into your AI workflow.
P2P Encrypted Sharing
Share memories, research, and messages directly between Crow users. End-to-end encrypted via NaCl, no central server, no accounts, no metadata leaks.
Cross-Device Access
Use Crow from the dashboard in any browser, from the open-source Android app, or from any connected AI client — your memory, projects, and agents stay consistent across all of them, and multi-instance sync pulls every device into one private interface.
20+ Integrations
Connect GitHub, Slack, Notion, Gmail, Trello, Discord, and more. Crow proxies external services through a single authenticated gateway, and every integration's tools become available to your agents.
Custom Skills
Behavioral prompts that teach your AI new workflows: research methodology, code review, writing, project management. No code required to create your own.
All-in-One Home Server
Crow is also an all-in-one self-hosted home server. Install apps from an app store — file sync, photos, smart home, media, local AI — the way you would on any home server. Because every app installs as a bundle, what you self-host is also a capability your agents and AI clients can use.
Your Data Stays Yours
Crow stores your data on infrastructure you control. Pair it with a local model and nothing ever leaves your network. Connect a cloud assistant and only what you send that provider goes out, on your terms.
Crow for Your Field
The same framework points in very specific directions depending on what you do. Each cut below describes capabilities Crow ships today.
Education
A private AI workspace for students, teachers, and researchers. Crow remembers your work across sessions, manages sources with real citations and bibliographies, and connects to course tools and public datasets. Built for FERPA-sensitive settings, your data stays on infrastructure you control.
Law
A self-hosted agentic assistant for legal work: matter organization, document research, and citation tracking, with privileged material kept on hardware you own. No third-party AI vendor sees the file.
Home Entertainment
Turn a home server into an agentic hub for your media. Voice-controlled music and video across your devices, even your glasses, drawing on your own library. Your collection, your rules, nothing tracking your habits.
Enterprise
A self-hosted agentic platform for teams that handle regulated data. Build internal assistants, connect the tools your team already uses, and keep every byte inside your own network, with operator-approval gates on anything an agent does.
Open Research Infrastructure
Crow is not just an AI tool. It is infrastructure for democratizing access to education data.
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Access the database
Maestro Press is building a statewide education data platform covering every Texas district and campus: funding, accountability, demographics, and public records. Independent researchers and advocates can connect to this database through Crow's MCP protocol from their preferred AI assistant, without needing to build their own data pipelines.
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Perform independent research
Crow's research pipeline (persistent memory, auto-citations, source management) lets users conduct their own analyses on the Maestro Press dataset. A parent advocate or policy researcher can ask questions of the data, build bibliographies, and develop findings with full APA citation support built in.
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Share results peer-to-peer
Crow's encrypted P2P sharing lets researchers share findings, memories, and data directly with each other. No central server, no accounts, no metadata leaks. A researcher in El Paso can share their analysis with a colleague in Houston without either trusting a third-party platform.
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Contribute back
Users can contribute their own research, cleaned datasets, and findings back to the Maestro Press database through Crow, enriching the shared resource for the entire community. The open protocol means contributions flow both ways.
Quick Start
Developer Program
Crow is open source, and developers are welcome — build integrations, skills, core tools, panels, and self-hosting bundles for the ecosystem.
MCP Integrations
Connect new services: Linear, Jira, Todoist, and any API with an MCP adapter.
Skills
Write behavioral prompts that teach the AI new workflows. No code required.
Core Tools
Add MCP tools to crow-memory, crow-research, or crow-sharing.
Self-Hosted Bundles
Create Docker Compose configs for specific use cases and deployment targets.
Crow is free, open source, and ready to use.