A workspace built
for your AI agents
Give your AI agents shared knowledge and persistent memory. Connect your sources once, then let agents read, save, and update context across every run.
*Start for free
Persistent memory
across agent runs
Agents forget at the end of every session. Memories let AI save outputs under any /slash route, then retrieve them on the next run.
One knowledge base
every agent shares
Connect your sources once. Every agent (research, support, sales) pulls from the same approved set via semantic search.
Read and write,
without DIY RAG
Skip the embedding pipeline and vector DB. Agents get retrieval and a writable workspace through a simple URL or skill.
works with:
Basecamp
1. Connect
Plug in the places your business already exists.
Notion, Google Docs, websites, inboxes, files, project tools. Context Link keeps them all in sync as one connected knowledge base. Stop copy-pasting context into every AI prompt. Your business is already written down. It just needs to live somewhere AI can read.
2. Ask
Ask your business anything.
Get source-backed answers across everything you've connected: pricing, positioning, support patterns, customer signal, competitor moves. A vector database under the hood means AI searches by meaning, not just keywords. Your team asks from the dashboard. Claude, ChatGPT, and any MCP-aware agent ask through the integrations. Every answer cites where it came from.
3. Observe
See your business like never before.
Lenses are live, source-backed views: competitors, customer support pulse, positioning, business activity. Each one combines your connected sources with recurring AI deep research to answer: what's true right now, what changed, and what needs attention. Every result is backed by evidence in the right-hand column, so you can see why things are the way they are.
4. Evolve
Move the business where you want it to go.
Pick a goal for a Lens: go upmarket, tighten your ICP, refresh positioning. Context Link briefs an AI on everything that matters: your sources, your Lens, your history. The goal becomes concrete next actions you can copy, open in any AI tool, or run yourself.
features
Connect your agent's sources
Link Notion, Google Docs, Google Drive, OneDrive, Basecamp, Monday.com, email inboxes, websites, and uploaded file stacks. Your agents pull from the same approved set you already use. No migration, no parallel knowledge base.
features
Semantic retrieval for every tool call
Agents call 'get context on [topic]' and Context Link returns the most relevant snippets by meaning. Clean markdown that fits inside the context window, not bulk-loaded chunks that crowd out the actual work.
features
Memories that compound across runs
Ask the agent to save this to /research-notes or update /customer-profile with these findings. Future runs fetch and refine those files, so each pass builds on the last instead of starting from scratch.
features
Model-agnostic, across every agent
One setup works with Claude agents, ChatGPT agents, Copilot, Gemini, and custom workflows via API. Switch models or run multiple agents in parallel without rebuilding your context layer.
Integrates with the AI you already use
Get Context
· ChatGPT
Get Context
· Claude
Industries
Context Link works with your kind of business.
Add Context Link to your computer or phone so business context is never more than a click away.
See your e-commerce business as a set of live views: who you're really competing with, what customers keep contacting support about, how your brand is actually landing. Each one is source-backed and updates as the business moves, not a quarterly guess. It runs on what you already have: connect the support inbox, brand book, catalogue and help centre, and the picture stays current on its own.
See your software business from every angle: your positioning, your competitive set, the marketing channels actually working. Live, source-backed views that tell you what's true now and what changed, so you know before the next launch, not after. It builds from the docs you already keep, like specs, changelogs, interviews and support threads, read where they live so the view never goes stale.
See the studio the way the outside world does: a live read on how your positioning actually comes across, not how you hope it does. Source-backed, and grounded in your own back-catalogue of briefs, case studies, brand books and project archives, so strategy stops half-remembering and starts citing, and every pitch stands on the studio's real history.
See your business from every angle: positioning, competitors, customer support and more, as live, source-backed views that tell you what's true right now, what changed, and what needs attention. They build from the places the business already lives, like docs, sites, inboxes and files, so the view stays current without anyone maintaining it. Your business stops being something you re-explain, and becomes something you can watch and talk to.
Workflows
See exactly what each agent used and improve over time
Every retrieval and save is logged: which sources were pulled, what was returned, and when. Review agent quality, spot content gaps, and re-sync when something's drifted.
Workflows
Control what agents can see down to the page
Choose exactly which Notion pages, Google Docs, folders, and site sections are indexed. Admins manage org-level sources for the whole agent fleet; individuals add personal connections that stay private.
Tune retrieval per agent
Modes for each agent's job
Create named profiles like 'research-agent' or 'support-agent' that re-weight which sources matter most. The same knowledge base serves a research agent and a support agent differently. Switch via a `?mode=X` parameter on any query.
Share context across your team
Stop pasting the same docs into every chat. Share one link, and your team's AIs can pull the latest context from your connected sources—consistently, every time.
(ChatGPT)
(Claude)
agent 004
session
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Frequently Asked Questions
What is an AI agent workspace?
An AI agent workspace is a shared layer where AI agents read context from your connected knowledge sources and write outputs they can retrieve later. Instead of every agent run starting from zero, agents pull from a single approved set of sources (Notion, Google Docs, email, websites, and more) and save reusable Memories under /slash routes. The result: agents that build on prior work instead of repeating it.
How does this give AI agents persistent memory?
Memories are AI-owned living documents saved under any /slash route, for example, /research-notes, /customer-profile, or /roadmap. An agent can save its output at the end of a run by asking to "save this to /route-name", then a future run can fetch and update that file. Memories live alongside your synced sources but stay separate, so agents can iterate on their own files without touching your originals.
Can multiple agents share the same workspace?
Yes. Org accounts let admins connect company sources once, then every agent (and every teammate) queries the same pool via API, ChatGPT connector, or Claude skill. Memories are visible across sessions and agents, so a research agent can save findings that a writing agent picks up later. Modes let you re-weight the same sources per agent role without duplicating content.
Which agent frameworks does Context Link work with?
Context Link is model-agnostic. It runs inside Claude (via skills), ChatGPT (via the app connector), Copilot, and Gemini, and exposes a REST API for custom agent frameworks. Anything that can make an HTTPS call can fetch context or save Memories, including Zapier, Make, cron jobs, and your own agent stack.
How is this different from native ChatGPT or Claude memory?
Native memories load a small set of preference snippets into the context window at the start of every session, whether relevant or not. Context Link retrieves selectively: ask about pricing and you get 3 chunks from your pricing doc and 2 from a Notion page, not your whole memory dump. Agents can also save unlimited Memories under any /slash route and retrieve only the right one for the task at hand. The context window stays focused, and the workspace scales to thousands of files.
Can agents get a direct answer instead of raw snippets?
Yes. Alongside "get context on [topic]," agents can invoke the Ask Question skill: /ask-question [question] or natural language like "ask Context Link what our refund policy is." Same retrieval under the hood, but a small fast LLM composes one grounded paragraph with numbered citations back to your sources. Available on Pro and ideal when an agent needs a direct answer rather than source material to reason over.