Long-Term Memory Is Live: Your Workspace Now Remembers Everything

What if your workspace could actually remember?

Not remember like a chat log you scroll through. Remember like a colleague who was in every meeting, read every document, and can recall exactly what was decided three weeks ago.

Long-Term Memory (LTM) is now live in Taskade Genesis.

Every conversation with your AI agents, every brainstorm, every project decision — automatically captured as structured, living memory that your workspace learns from.

This is not incremental. This changes what a workspace is.

Why Memory Matters More Than Intelligence

The AI industry has been obsessed with intelligence — better models, faster responses, more capable reasoning. But intelligence without memory is performance without continuity.

Think about how you work today:

• You have a detailed conversation with an AI about a project strategy
• You close the tab
• Next week, you start over from scratch

The AI was brilliant for 20 minutes. Then it forgot everything.

This is the pattern that Long-Term Memory breaks.

┌──────────────────────────────────────────────────────┐
│           BEFORE LTM              AFTER LTM          │
├──────────────────────────────────────────────────────┤
│                                                      │
│  Chat → Response → Gone     Chat → Memory → Growth   │
│                                                      │
│  Every session starts       Every session builds      │
│  from zero                  on everything before it   │
│                                                      │
│  AI forgets your            AI knows your context,    │
│  context instantly          decisions, and history    │
│                                                      │
│  You repeat yourself        You continue where        │
│  constantly                 you left off              │
│                                                      │
└──────────────────────────────────────────────────────┘

With LTM, your workspace accumulates knowledge. Every interaction makes the next one better. Your AI agents do not just respond — they remember, learn, and evolve.

How Long-Term Memory Works

The mechanism is simple. The implications are not.

When you chat with a Taskade AI Agent, every conversation is automatically saved as a Memory Project — a structured, editable record that lives in your workspace.

This is not a flat transcript. Memory Projects are structured documents with hierarchy, context, and connections to your other projects. They are first-class workspace objects — searchable, editable, and accessible to every agent in your workspace.

Here is what happens in practice:

Step 1: Start with a conversation.
You chat with your AI agent about a product launch — goals, timeline, messaging, risks.

Step 2: The conversation becomes memory.
Taskade automatically creates a Memory Project capturing the full conversation — structured with headings, decisions, action items, and references.

Step 3: Your agent learns.
The next time you interact with the same workspace, your agent can recall what was discussed. "Last week we decided to launch on March 15. Do you want me to draft the launch checklist?"

Step 4: Memory compounds.
Over weeks and months, your workspace accumulates a growing knowledge base of decisions, strategies, and context — all automatically. No manual organization required.

┌──────────────────────────────────────────────────────┐
│                 THE MEMORY LOOP                      │
├──────────────────────────────────────────────────────┤
│                                                      │
│     You chat ──────▶ Memory Project created          │
│        ▲                       │                     │
│        │                       ▼                     │
│     Agent recalls ◀──── Agent learns from memory     │
│        │                       │                     │
│        ▼                       ▼                     │
│     Better responses      Smarter over time          │
│                                                      │
└──────────────────────────────────────────────────────┘

Where LTM Fits in Workspace DNA

Long-Term Memory is not a standalone feature. It is the completion of Workspace DNA — the three-pillar architecture that powers Taskade Genesis.

Projects are memory.
Your structured data — tasks, notes, databases, and now conversation history. The persistent knowledge layer that grows over time.

Agents are intelligence.
AI systems that reason over your workspace data. With LTM, agents can now reason over your entire history of interactions — not just the current session.

Automations are execution.
Workflows that act on triggers, conditions, and state changes — driven by memory, informed by intelligence.

🧠 Workspace
├── 🌱 Genesis App — "Product Launch Manager"
│   ├── 🗄️ Projects (Databases + Memory)
│   ├── 🤖 Agents (Intelligence, now with full recall)
│   ├── ⚙️ Automations (Execution layer)
│   └── 💬 Conversations → Stored as Memory Projects
│
│   Chat feeds Projects.
│   Projects inform Agents.
│   Agents power Genesis Apps.
│   This is Memory Reanimation.

Before LTM, the memory pillar was manual — you structured projects by hand. Now, your conversations automatically feed into the memory layer, creating a self-building knowledge base.

What You Can Do Right Now

LTM is live. Here are the fastest ways to experience it:

Talk to Your Agent About an Ongoing Project

Open any workspace and chat with your AI agent about a real project. Ask it to help you plan, brainstorm, or troubleshoot. Close the chat. Come back tomorrow. Ask: "What did we discuss yesterday about the project timeline?" Your agent remembers.

Open Your Memory Projects

Navigate to your Memory Projects to see your conversations transformed into structured, editable documents. You can read them like meeting notes, reorganize them, and share them with your team.

Build a Genesis App with Memory Built In

Start with a prompt like:

Build a weekly team standup tracker with an AI agent that
remembers each team member's blockers and follows up
on unresolved items from previous weeks.

Your Genesis app now has memory baked in. The AI agent tracks blockers across weeks, not just within a single session.

Train Your Agents Naturally

You do not need to upload training files or write system prompts. Just work. Every conversation becomes training data. Every project becomes context. The more you use Taskade, the more your agents understand your work, your preferences, and your goals.

Why This Is Not Just Another AI Feature

Every AI workspace claims some form of "memory." Here is how Taskade LTM is different:

The key difference: Taskade LTM does not just remember facts. It creates structured knowledge that your entire workspace — agents, automations, and apps — can reason over.

The Second Brain, Realized

The "second brain" concept has been around for years. Tools like Evernote, Notion, and Obsidian pioneered the idea of an external knowledge system. But they all required one thing: you.

You had to capture. You had to organize. You had to link. You had to maintain.

The second brain was a filing cabinet that you had to fill by hand.

Taskade LTM is a second brain that fills itself.

Your conversations become structured notes automatically. Your agents connect the dots between projects. Your workspace grows smarter without you spending time on organization.

This is what we mean by Memory Reanimation — your thoughts transforming into structured knowledge that keeps growing.

For a deeper look at how AI agent memory systems work, see our guide on types of memory in AI agents.

From Conversations to Compounding Intelligence

Here is how LTM changes different workflows:

For founders and executives:
Every strategic conversation with your AI is preserved. Product decisions, market analysis, investor prep — all searchable, all building on each other. Your workspace becomes institutional memory that never leaves when someone does.

For product teams:
Feature discussions, user research summaries, sprint retrospectives — all automatically captured and connected. Your agents understand the full product context, not just the current ticket.

For customer success:
Every client interaction generates memory. Your agents can recall what was discussed with a specific client weeks ago, suggest follow-ups, and identify patterns across accounts.

For marketing teams:
Campaign brainstorms, content calendars, performance analysis — all feeding into a growing knowledge base. Your agents draft content that is consistent with previous messaging because they remember it.

What Comes Next

LTM is the foundation. Here is what we are building on top of it:

• Connected memory across workspaces — shared intelligence between separate environments, so your agents understand your entire organization
• Smart Recall — instant rediscovery of any idea, conversation, or decision across your entire memory
• Visual memory maps — see how your projects, conversations, and decisions connect in a visual graph
• Adaptive AI personalities — agents that evolve to match your communication style, priorities, and goals over time
• Memory-driven automations — workflows that trigger based on accumulated knowledge, not just single events

The foundation is set. Your workspace DNA — memory, intelligence, execution — is complete. LTM is the piece that makes memory alive.

Get Started

Long-Term Memory is available now on all Taskade plans, including free.

1. Open your workspace and chat with any AI agent
2. Watch your conversations become Memory Projects automatically
3. Come back tomorrow and see how much your workspace remembers

The more you use it, the smarter it gets. No configuration. No setup. Just work.

Try Taskade Genesis with Long-Term Memory →

Further Reading

• Types of Memory in AI Agents — how AI memory systems work under the hood
• A Rebuild. And an Unbuild. — why we rebuilt Taskade as infrastructure for autonomous work
• Your Second Brain on Autopilot — the vision for self-organizing workspaces
• Best Second Brain Apps — how Taskade compares to other knowledge management tools
• Anatomy of a Genesis App — how Workspace DNA powers living software
• Building a Second Brain for Your Team — collaborative knowledge management
• Founder Memory & Databases — how LTM connects to workspace memory
• Best Practices for Multi-Agent AI Teams — building agent teams with shared memory