Now in beta

Your AI finally
knows your project

Octopad is the shared workspace where your team and their AI work from the same memory. Every session picks up exactly where the last one left off — for everyone.

Claude — Octopad workspace
D
What's the status on the API redesign? We haven't talked in a week.
AI
The API redesign is in progress. Last session (3 days ago), you completed the authentication endpoints. 3 tasks remain: rate limiting, pagination, and the SDK update. Sarah flagged a blocker on rate limiting — she needs your input on the Redis config.
D
Delegate the SDK update to an agent and create a task for the Redis discussion with Sarah.
AI
Done. SDK Update queued to Octobot — I'll log progress automatically. Redis config discussion task created and assigned to you, due Friday. Sarah notified via Slack.
Works with any AI that supports MCP
Claude · ChatGPT · Gemini · Cursor · Any MCP client MCP
The problem

Three gaps that break AI collaboration

Your team adopted AI. But the gap between what it promises and what it delivers for team work is real — and structural.

01 · AI Amnesia
🧠

Every session starts from scratch

An employee spends an hour explaining project context to Claude, gets great output, comes back the next day — and the AI has forgotten everything. Multiply this by every team member, every single day.

"Agent memory loss is the #1 pain point in agentic workflows." — Oracle, multiple industry surveys
02 · PM Tools Don't Speak AI
🔌

The AI is a second-class citizen

Asana, Linear, and Notion were built for humans clicking buttons. When an AI needs to create a task, log a decision, or check dependencies, it does it clumsily through generic integrations — or not at all.

Today's PM tools have added AI features, but the architecture is "AI assists human." The AI reads and summarizes. It does not participate as a team member.
03 · Agents are for Developers
🔒

95% of teams can't access agentic AI

Launching an AI agent requires choosing a framework, writing code, and debugging. This is accessible to 5% of knowledge workers at best. The other 95% hear about "AI agents" but have no practical way to use them.

"Research our top 5 competitors and create tasks for each gap" shouldn't require a sprint. It should require one sentence.
The solution

The operating system between
humans and their AI

Octopad sits between your team and their AI assistants. Connect your AI and it immediately knows the project — what's been done, what's next, what decisions were made.

Today
😩 Open Asana. Read tasks. Switch to Claude. Explain all the context from scratch — again.
😩 Get output. Switch back. Manually update tasks. Your AI has no memory of this session.
😩 Your teammate's AI doesn't know about your conversation. The team is siloed by default.
😩 Want to delegate to an agent? That requires a developer, a framework, and a week of setup.
Open Claude (or any AI). It already knows the project. "What's blocking the launch?" gets a real answer.
"Update the task and notify Sarah" happens in one sentence. Octopad handles it.
Every team member's AI works from the same shared memory. No silos. No drift.
"Research competitor pricing and draft our page" — delegated to an agent, tracked automatically.
How it works

Set up once. Stay in sync forever.

Step 01
🔗

Connect

Add the Octopad MCP server to your AI assistant. One-time setup in Claude, Cursor, or any MCP-compatible client.

MCP Protocol
Step 02
💬

Work normally

Chat with your AI as you always do. Octopad captures tasks, decisions, and knowledge in the background — automatically.

Step 03
👥

Share with your team

Invite teammates to the workspace. Every team member's AI now works from the same shared project memory.

Step 04
🐙

Delegate

Say "research our competitors" and it happens. Octobots run in the background, tracked and logged automatically.

Octobots
Capabilities

Everything your project needs,
designed for AI from day one

🧠

Persistent Memory

Every session builds on the last. The Smart Context Builder assembles exactly what the AI needs — tasks, decisions, session history — without overwhelming it. The AI feels like it already understands the project.

Structured Tasks

Tasks with status, priority, subtasks, dependencies, and file attachments. Your AI creates and updates them natively — no copy-paste, no manual entry after every session.

💡

Team Knowledge Base

Structured memory for decisions, key information, risks, and open questions. When you capture a new decision, Octopad checks for duplicates and links related work automatically.

📄

Living Pages

Long-form docs for specs, research, and meeting notes. AI reads, writes, and updates them. Nothing is a frozen file nobody maintains — knowledge evolves naturally as work happens.

🐙

Octobots

Background AI agents for research, analysis, and content generation. Delegate from a single sentence. No code, no framework, no YAML. One conversation triggers the whole thing.

🛡️

Governance

Controls how much autonomy AI has in your workspace. As agents become more capable, governance ensures humans stay in control — the AI proposes, you approve.

Differentiation

Built different by design

Every alternative either treats AI as an add-on or misses the team-scale picture entirely. Octopad is AI-native from the ground up.

vs. Asana · Linear · Monday

AI is an add-on: it reads tasks and writes summaries, but doesn't live in the tool
No shared context across team members' different AI assistants
No delegation to background agents from natural conversation
In Octopad, the AI is a native team member with a session, context, and the ability to create tasks

vs. Notion · Confluence

AI features are read-only toward external systems — the AI reads, not writes
Documents are static — nobody updates them after the first week
Locked to the Notion ecosystem; not model-agnostic
Octopad makes your docs work — AI reads, writes, and updates them continuously as the project evolves

vs. ChatGPT · Claude Projects

Per-user silos — your AI doesn't know what your teammate's AI worked on yesterday
No structured task management, dependencies, or work streams
No delegation pipeline, no governance, no background agents
Octopad is the team-scale version of what Projects hints at — with structured work, delegation, and shared memory
Market signals

The shift is already happening

The infrastructure for AI-native teams is being built right now. Octopad is built for the world already forming.

8M+
MCP server downloads — the universal AI standard adopted by Anthropic, OpenAI, Google & Microsoft
85%
of enterprises expected to deploy AI agents by end of 2025 (Gartner)
#1
Agent memory loss ranked the top pain point in agentic workflows, across multiple surveys
$30B
Agent orchestration market projected for 2030 — and arriving years ahead of schedule
Pricing

Simple, honest pricing

Start free. Upgrade when your team grows.

Squid
$0 / month

Everything you need to get started with AI-native project work.

Get started free
  • 1 workspace
  • Up to 3 members
  • Up to 50 tasks
  • Up to 10 pages
  • Knowledge base
  • MCP integration
  • Session memory
  • Octobot jobs
Coming soon
Kraken
TBD

Everything in Ink, plus AI agents that work for you around the clock.

  • Everything in Ink
  • Octobot jobs
  • Research & analysis tasks
  • Content generation
  • Background execution
  • Automatic progress tracking
Join the beta

Give your team's AI a memory

Connect your AI assistant to Octopad today. Your next session will pick up exactly where the last one left off — for everyone on the team.