deerdawn.com

What it is

DeerDawn is an “AI shared context layer” focused on AI coding and chat tools. Users first create project context in DeerDawn, after which Claude Code, Cursor, Codex, Claude.ai, ChatGPT.com, and other tools can read the same project memory via MCP. This shared memory includes the current task, tech stack, recent decisions, goals, and open questions, reducing the need to repeatedly explain background information when switching between tools.

Core capabilities

Its core value is not a generative model, but context extraction, storage, and distribution. According to the documentation, DeerDawn can extract structured deltas from conversations and inject them into different AI tools via an MCP server or remote MCP. It can import CLAUDE.md and AGENTS.md, and also supports sources such as Notion, Google Drive, Google Calendar, and Gmail. Its automatic cleanup mechanism updates the context graph after tasks are completed, issues are resolved, or goals are achieved, helping prevent old tasks from piling up.

Pricing and trial

The Free plan does not require a credit card and includes 1 workspace, 7 days of history, 5 context syncs per day, cloud storage, and Notion import, which should be enough to validate the basic value. Pro costs $10/month and includes 5 workspaces, 90 days of history, automatic sync, Google Drive/Calendar/Gmail imports, and a priority extraction queue; annual billing comes with a 20% discount. Larger-scale shared memory deployments require contacting the company.

Privacy and integrations

On privacy, DeerDawn says it does not store full conversation logs, only structured context; original snippets are discarded after cloud extraction. Pro and Enterprise support AES-256-GCM encryption at rest, while Free only mentions TLS encryption in transit. It also provides access logs, field exclusion, TTL, data export, and one-click deletion. For integrations, it supports a local npx MCP server as well as remote MCP for Claude.ai and ChatGPT.com, and mentions Node.js and Python SDKs.

Pros, cons, and who it is for

The main advantage is its clear positioning: it addresses the “context fragmentation” problem in workflows that use multiple AI tools, and its MCP setup documentation appears fairly complete. The downsides are that the free quota is modest, team-level capabilities are not part of the default self-serve path, and there is no disclosed information about a Chinese interface, Chinese extraction quality, access from mainland China, or payment methods. It is best suited to individual developers or small teams that heavily use Claude Code, Cursor, Codex, ChatGPT/Claude for development. Users in China should test network connectivity and payment availability themselves; alternatives include Cursor Rules, Claude Projects, ChatGPT Memory/Custom GPT, Continue, or a self-hosted MCP/RAG context layer.