One Context Workspace.
Any AI Client.
Save mixed context, organize it into bundles, and let connected AI read from it, write to it, and reuse it across every client you work in.
Workspace
ContextDock
Contexts
148
Bundles
19
Collections
12
Activated Workspace
75%
Workspace overview
Welcome back, operator
Jump from search to context, bundles, and collections without leaving the workspace.
Launch Planner - GTM bundle
TEXTCore GTM notes, objections, pricing language, and positioning prompts stored for reuse.
In Launch Planner · Team
Support FAQ source notes
URLApproved responses, handoff rules, and escalation guidance saved for support workflows.
Private workspace · Updated today
Workspace overview
Welcome back, operator
Use the command palette to jump anywhere, then keep the most-used context, collections, and bundles close at hand from this dashboard.
Contexts
148
Your saved library
Bundles
19
Reusable context packs
Collections
12
Organized topic groups
Activated Workspace
75%
3/4 setup milestones complete
Get value in under 3 minutes
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Quick Tag Filters
Recent Context
Launch Planner - GTM bundle
TEXTCore GTM notes, objections, pricing language, and positioning prompts stored for reuse.
In Launch Planner · Team
Support FAQ source notes
URLApproved responses, handoff rules, and escalation guidance saved for support workflows.
Private workspace · Updated today
Research interview themes
FILETranscript synthesis, ICP tags, and follow-up questions packaged for cross-client reuse.
In Customer Research · Shared
Collections in play
ContextDock
11 bundles · team-visible
Marketing Ops
6 bundles · private
Launch Planner
GTM positioning, FAQ notes, and sales objections bundled for one-shot retrieval.
Works with
20 MCP tools live
Audit, fetch, create, update, and organize context without leaving the client you already use.
Bundles + write-back
Package full working sets for one-shot retrieval, then save the new output back into the workspace.
Cross-client continuity
Start in one AI client, reopen the same structured context in another, and keep moving.
Core differentiators
Three reasons ContextDock feels different from a passive notes vault.
The value is not just storing context. It is giving AI one structured place to read, write, organize, and reuse that context across clients.
Bundles that move with the task
Package product specs, brand voice, research, docs, and checklists into one named operating set the AI can call in a single step.
Writable MCP actions
Connected AI can inspect inventory, fetch chunked content, create new context, update items, and file the result into the right structure.
Cross-client memory that stays usable
Start inside ChatGPT, reopen in Claude or OpenClaw, and keep the same organized context ready for the next run instead of starting over.
Pricing
Start free, prove the workflow, then scale when the workspace gets heavier.
The homepage stays focused: two plans, one clear starting point, and enough room for the browser-frame hero to do the selling.
See the use casesFree
Everything needed to connect AI, create bundles, and prove the writable workflow.
- Up to 50 context items
- Unlimited bundles and collections
- Read and write through MCP
- ChatGPT, Claude, OpenClaw, and compatible clients
- AES-256 encryption and one team workspace
- Auto capture and Context Engineer land later
Pro
Most capableFor heavier runs, larger libraries, and teams that want the workspace to compound.
- Unlimited context items and larger storage
- Workspace-scale organization for heavier runs
- Unlimited teams and shared workspaces
- Priority MCP throughput
- Priority assistant features when they go live
Start now
Keep the homepage simple. Let the workspace do the convincing.
Start with the hero, skim the proof, and move straight into the workspace. If someone needs the deeper operator story, the use-cases page carries the detail without overloading the homepage.
Coming next
Planned roadmap items. Not live yet.
Auto Capture Engine
PlannedPlanned. Capture high-signal context from ChatGPT and Claude without storing raw full chat logs.
Multi-Model Workspace
PlannedPlanned. Work across multiple models from one context-aware workspace instead of juggling separate tabs.
Context Engineer agent
PlannedPlanned. An agent for shaping, refining, and optimizing reusable context before it reaches the model.