LIVE REMOTE MCP

Your AI forgets why.
Continuum remembers.

The decisions, the trade offs, the why. Continuum carries your reasoning across every AI, so no chat ever starts from zero.

click to copy
21MCP tools
3surfaces
38tests passing
MCP native Provider independent Export any time, no lock in
decision: JWT rejected: Redis open: refresh
One memory, connected to every AI you use
Claude Grok ChatGPT Codex Cursor Gemini
The idea in ten seconds

Save the thinking. Switch models. Continue like you never left.

Watch one decision leave a chat, live inside Continuum, and come back in a different AI. This is the whole product, on a loop.

claude
decision: JWT rejected: Redis
Save the reasoning
save this to continuum
continuummemory
Carried across
any AI, any month
grok
RESUME project auth JWT, rejected Redis
Resume, intact
resume continuum
The blind spot in every AI

Every model remembers something. None of them remember your reasoning.

Each tool ships its own kind of memory, and every one of them drops the part that actually matters the moment a chat ends or you change tools. Here is what breaks, tool by tool, and what Continuum does about it.

Claudeauto summary
The gap. When the window fills, Claude compresses your chat into a summary you never see and cannot steer. It stays locked inside Claude.
With Continuum. You choose what gets saved, you can read every word of it, and it follows you to any other AI.
ChatGPTmemory
The gap. Memory stores facts about you, not the state of your work. It knows your name and forgets your architecture.
With Continuum. The working state of every decision is captured and resumes anywhere, not just inside one product.
Grokchat export
The gap. Export hands you a one way wall of text. No decisions, no rejected options, and no way to import it back and continue.
With Continuum. A structured, two way resume package that picks the work back up in Grok or anywhere else.
Codex, Claude Codesession file
The gap. Sessions sit on disk, but every new one starts cold, and nothing carries the reasoning to another tool.
With Continuum. It reads the session file itself, extracts the reasoning, and autosave keeps every single turn.
Geminichat only
The gap. Context lives and dies with the conversation. A decision made here cannot travel to another provider.
With Continuum. A paste ready resume that works everywhere, plus a hosted connector where the platform supports one.
All of themacross months
The gap. Not one of them can hand back your work on a subject from six weeks ago, or the reason you ruled an option out.
With Continuum. Recall gathers every checkpoint on a subject across months of history, with the why intact.
Watch it work

One decision, followed for eight weeks.

Watch a real decision travel from the chat where you made it, through a full context window, into Continuum, and back out in a different AI weeks later. It plays on its own.

claude
Should we use JWT or sessions for auth?
JWT. Stateless, low ops. Redis sessions add a lock race.
decision: JWT rejected: Redis open: refresh
CONTEXT WINDOW
autopilot: switch now, window at 82 percent
decision: JWT rejected: Redis open: refresh
continuumsaved
verbatim reasoning graph knowledge graph
continuummemory
grok
RESUME project auth
decided JWT, stateless
rejected Redis, lock race
open: refresh endpoint
recall project x, dna mutation
2 of 6 checkpoints match the subject, merged into one package
claude code, Stop hook
turn 1 captured
turn 2 captured
turn 3 captured
turn 4 captured
continuumone memory
Claude
Grok
ChatGPT
Codex
Gemini
Chapter one

It starts in a chat

An ordinary conversation, and the why exists in exactly one place.

It starts in a chat
Try it right here

Feel the loop in ten seconds.

A faithful simulation of the real tools. Save the reasoning in one AI, switch platforms, and resume with nothing lost.

nothing saved
continuumempty
one memory,
outside every platform

The model is temporary. The reasoning is yours.

Why this matters

Facts are cheap to recall. Reasoning is what dies.

A fact you lose can be looked up again. The reasoning behind a decision cannot. Once it is gone, you pay for it twice: once to rebuild it, and once in the mistakes you repeat.

Without continuum
decisionrejectedwhyfading
  • The window fills, and the model silently discards the thinking that got you here.
  • You switch tools, paste a wall of transcript, and spend an hour re-explaining trade offs.
  • You return a month later. The decision survived. The reason for it did not.
With continuum
decisionrejectedwhysaved
  • Every decision is saved with its why and the options you already ruled out.
  • Any AI resumes the exact reasoning, in one sentence, with nothing lost.
  • Any subject comes back from months of history, not just the latest save.
Under the hood

Capture in flight. Rebuild anywhere.

One checkpoint writes three layers at once. One resume reads them back as a compact package that fits any context window.

Capture
checkpoint
The conversation goes in. Structured reasoning comes out.
Reasoning graph
decisions, why, rejected, open questions
Knowledge graph and vectors
entities and semantics via Cognee
Verbatim source
exact words, content addressed
Rebuild
resume, recall
A bounded package that drops into any AI and continues the work.
The toolkit

Six verbs you will use daily. One memory underneath.

Identical everywhere: type them in a terminal, say them in plain English over MCP, or call them from the HTTP API.

Save

checkpoint

Freeze the working state of a chat: decisions, reasons, rejected options, open questions.

checkpoint chat.txt -p auth
Continue

resume

Rebuild the latest state as a compact package that pastes into any AI.

resume -p auth
Retrieve

recallnew

Pull everything about one subject from the entire history, not just the last save.

recall -p x "dna mutation"
Switch

capture

Import a session straight from Grok, Claude Code or Codex. No copy paste.

capture -p x --from grok
Safety

autopilotnew

Watches the context window and hands you a ready export before anything is lost.

autopilot -p x -t chat.txt
Auto save

observenew

Buffers every turn and checkpoints on its own. Saving stops being your job.

autosave --source claude_code

also ingest, export, import, improve, prune, distill, lessons, timeline, search, mode, list, status, forget

Built for long work

A month of work, still one continuous thread.

Continuum is not just for one chat. Across weeks, many topics, and several tools, it keeps the whole reasoning trail and hands back exactly the part you need, without ever overflowing the next context window.

Week 1
Claude
Save
Week 2
Codex
Autosave
Week 4
Other work
Waits
Week 8
Grok
Recall
Recall

The thread, not the latest

Every checkpoint on a subject, merged into one.

recall -p x "dna mutation"
Bounded export

Always fits the window

A year of history, still one clean paste.

export -p x -f digest
Hands free

Saved every turn

Checkpointed after each turn, on its own.

continuum autosave
Agent native

Query, not swallow

Agents pull only what they need.

GET /decisions/auth
The category we created

Everyone stores facts. Only Continuum stores the reasoning.

Memory systems cover a thin slice, they recall knowledge. Continuum covers the whole surface, because it saves the working state of a decision and carries it to another AI.

Reasoning Rejected Resume Capture Knowledge Context
Continuum 92% average coverage
Typical memory layer (Cognee, Mem0, Letta, Supermemory) 36% average coverage
100
Reasoning state
The decision, its reason, and the alternative you rejected. Nothing else reconstructs this.
typical memory 5
100
Resume package
A compact state that continues the work in any provider, on any machine.
typical memory 15
95
Cross tool capture
Reads Grok, Claude Code and Codex sessions directly, so changing tools costs nothing.
typical memory 10
90
Knowledge graph
On Cognee Cloud the full graph is included too. A layer above Cognee, not a rival.
typical memory 85
CapabilityClaudeCodex, Grokmem0CogneeContinuum
Remembers reasoninginternalnofactsentitiesyes
Portable across AIslockedone wayyesnoyes
Knowledge graph and vectorsnonopartialyessuperset
Recall by subject across monthsnonononoyes
Bounded and incremental exportnonononoyes
Automatic per turn savelossynononohook
Cross platform resume with reasoningnonononounique
Get started

Two minutes to connect. Then you just talk.

Pick where you work. Every path ends the same way: you speak to your AI in plain English, and it remembers.

01

Add a custom connector

Claude web, Grok or ChatGPT, Settings, Connectors, Add custom connector.

02

Paste the live MCP URL

https://rahultwte-continuum-mcp.hf.space/mcp
03

Talk to your AI

"save this whole chat to continuum project auth" "resume continuum project auth" "recall our dna mutation work in project x"
Pricing

Start free today. Upgrade when your memory should follow you everywhere.

The local tier is free forever, no card and no keys. Pay when you want hosted memory on every device, semantic recall across months of work, and saving that happens on its own.

Free
$0 forever
For personal projects on one machine.
  • Local memory, unlimited checkpoints
  • Up to 3 projects
  • CLI and copy paste into any AI
  • Keyword search and resume
Start free
Most popular
Pro
$5 / month
For people who live in more than one AI.
  • Everything in Free
  • Hosted MCP, synced on every device
  • Unlimited projects
  • Semantic recall across months (Cognee)
  • Autopilot and automatic per turn save
Start Pro trial
Team
$19 / user / mo
For teams that decide together.
  • Everything in Pro
  • Shared projects and roles
  • Per user isolated memory
  • Priority support
Start a team
Enterprise
Custom
For organizations with requirements.
  • Self host or private cloud
  • SSO and audit trail
  • SLA and dedicated support
  • Volume pricing
Talk to us
14 day Pro trial Cancel anytime Export everything, any time No lock in, ever

Your reasoning is yours. Every tier exports to Markdown or JSON on demand, and the local tier keeps working even if you never pay us a cent.

Questions, answered

Everything people ask before they connect it.

Do I need an API key or an account to try it?
No. The free tier runs entirely on your machine with zero keys and zero services. Install it, save a chat, resume it. Keys only enter the picture if you want cleaner LLM extraction or the hosted knowledge graph.
What exactly does Continuum store?
Two things, both readable by you: the verbatim conversation as the source of truth, and a structured reasoning layer on top, meaning the decisions, the reasons, the rejected options, and the open questions. Nothing is hidden and everything exports.
How is this different from ChatGPT memory or Claude projects?
Those remember things inside one product. Continuum remembers the working state of your thinking and moves it between products. Save in Claude, continue in Grok, finish in Codex. No built in memory crosses that line.
Will a long project eventually overflow the context window?
No. Resume packages are bounded by a token budget, digest compresses older history while keeping recent work in full, and recall pulls only the subject you ask for. A year of work still arrives as one clean paste.
What happens to my data if I cancel?
You keep everything. Export any project as Markdown or JSON at any moment, and the free local tier keeps working forever. Leaving takes one command, which is exactly how it should be.
Can my whole team share one memory?
Yes. The Team tier gives every person an isolated memory plus shared projects, so anyone can see what was decided and why without digging through chat logs.
Give reasoning a memory

The context window ends. Your thinking should not.

Save the why once. It will be there in any AI, on any machine, months from now, exactly as you left it.

Start free