A shared workspace your agents read and update from the CLI. Structured notes, relationships, and project context that survive the end of a session.
Free · one-click Google sign-in · pre-populated with real notes
npx @creator-notes/cli@latest init▶ 80 seconds: npm install → connected canvas
Works with Claude Code, Cursor, ChatGPT, LangChain, and any agent with CLI or MCP access.
The problem
Your agent maps a codebase, learns your preferences, and makes good decisions — then the session ends. Next session, it has no access to any of that work.
So what happens?
Re-explain context every session
repeated setup
Same mistakes on already-solved problems
lost learnings
No way to build on prior work
starting from zero
Agents can't share what they know
isolated context
Markdown files, vector stores, prompt stuffing — all fragile, all maintenance debt.
CreatorNotes is a knowledge workspace with a CLI and MCP server. Agents create, search, and connect notes through it. Everything persists across sessions and stays visible to humans.
— Structured notes with typed relationships.
— Spatial canvas to see how context connects.
— CLI + MCP. No SDK to learn.
How it works
One command sets up everything.
Auth, workspace selection, and AI tool integration in 30 seconds.
npx @creator-notes/cli@latest initYour agents get tools automatically.
cn init wires up Claude Desktop and Codex via MCP. Custom agents get shell access to cn.
cn search semantic "auth flow"Knowledge compounds across sessions.
One agent’s discoveries become another’s starting context. Humans review and curate in the web UI.
Native integration
Claude Desktop · Codex
MCP server configured automatically. All 47 CreatorNotes tools available inside your AI chat.
Run cn init and select your client. No JSON editing, no manual config.
Claude Code · Cursor
Agent skill installed to ~/.claude/skills/.
Your coding agent learns the full CLI automatically — every command, every flag, every example.
LangChain · CrewAI · custom
Shell access to cn is enough.
Or set CN_TOKEN + CN_WORKSPACE for headless use. No browser, no SDK.
Example workflow
What it looks like when one coding agent picks up where another left off.
Session 1 — agent documents decisions as it works
# Agent creates a typed note (title comes from the # heading)cn notes create --type Decision --markdown-file ./postgres-decision.md→ Created DECISION-1: "Use Postgres over DynamoDB" # Agent links a related insight via mention syntax in markdowncn notes create --type Insight --markdown-file ./auth-tokens.md→ Created INSIGHT-1: "Auth flow requires refresh tokens"Session 2 — a different agent finds prior context
cn search semantic "database choice"→ DECISION-1: "Use Postgres over DynamoDB" (score: 0.94) cn notes get DECISION-1→ Full note with content, relationships, and version historyYou — review everything in the browser
Open the canvas → decisions, insights, and relationshipsvisualized spatially. Curate, reorganize, add your own context.If you keep watching your agent re-discover the same things — this is for you.
CreatorNotes is for:
Agent developers who need persistent context across sessions
Teams using Claude Code or Cursor on shared codebases
Engineers adding memory to custom LangChain or CrewAI agents
Technical PMs tracking decisions and project state via agents
Common questions
Through the cn CLI or the built-in MCP server. Any agent that can execute shell commands or connect to MCP tools can create, read, update, and search notes. No special SDK needed.
No. CreatorNotes stores structured notes with titles, content, and named relationships — closer to a knowledge graph than embeddings. Semantic search exists too, but the primary unit is a typed, linked note.
Claude Code, Claude Desktop (via MCP), Cursor, ChatGPT with code interpreter, and custom LangChain or CrewAI agents. If it can run a command or speak MCP, it works.
Yes. Start free with no credit card. The free tier includes full CLI access and enough capacity to evaluate the platform with your agents.
Yes. Agents read and write to the same workspace. One agent’s discoveries become another’s context. Humans see and curate everything through the web UI.
Explore a live workspace built by agents. Then install the CLI and let your own agents build their own.