Conversational 0.7.19 is out: read the changelog

Conversational

Find a changed deadline across two notes, then open the source that supports the answer.

Ask about imported documents and chats with inspectable evidence. People who want to ask imported chats, notes and documents with the AI they already use, then inspect the evidence.

Technical specifications

You connect your own AI. Nomic selects text evidence. Optional ColQwen2 and ColFlor select pages. They are not the answering model. Product Standard mode uses 8,192 tokens of evidence. Deep uses 24,000. R454 research used a 7,000-token evidence budget. That is not a product mode. Research rows that name Qwen 3.8 27B Q4 are evaluation readers, not a model shipped in the product.

Full product access for 180 days after activation. No subscription during the trial.

Conversational chat with Standard 8k and Deep 24k. The evidence panel shows 69 selected passages.

A decision changed. The record did not disappear.

Illustrative

Ask

When is the project review?

Local workspace Conversational
Historical screenshot captured with Conversational 0.7.13; it is not a current-release label. See the install page for the current version. The screenshot shows Standard 8k and Deep 24k with the evidence panel open. The note-change diagram is an illustration of Tuesday versus Friday, not the screenshot.

A project review moved from Tuesday to Friday

Ask what day the review is. Open the original note dated Tuesday and the correction dated Friday. The answer should show Friday and the source that changed it.

  1. 01

    Install

    Create a dedicated environment, install the pinned Conversational package, then run init.

  2. 02

    Add a source

    Start with one chat export, note or PDF you can inspect.

  3. 03

    Ask and open the source

    Read the answer, then open the selected evidence and the later correction if one exists.

A source you can inspect

Open the original material and see what supports the result. A cited source makes the answer easier to check. It is not a guarantee that every answer is correct.

Will it run on my computer?

This check uses the published install platforms. It does not detect graphics memory.

What it does

  • Bring chats, notes and documents into a local index
  • Nomic finds relevant text. Tesseract reads scans. The AI you connect writes the answer from the evidence MemStrata selects.
  • Optional ColQwen2 and ColFlor select original pages. They are not the final answer.
  • EVIE and ColPali are coming soon and are not listed as supported downloads.
  • Detecting a GPU is separate from installing a compatible runtime. Visual retrieval and the model you connect use separate settings.

Requirements

The hardware guide lists install platforms and evidence limits. It does not size the AI you connect. See the hardware guide.

  • Python 3.10 or newer
  • Windows x64, Linux x86_64 with glibc 2.28 or newer, or macOS 15 on Apple silicon
  • An AI you already use. Conversational does not ship a built-in answering model

Supported connections

  • The AI you connect: writes the answer from selected evidence
  • Tesseract OCR: scanned documents
  • Nomic text retrieval: text evidence

Data handling

Indexes and source processing run on your device. Account, licensing, and optional connectors use MemStrata or destination services. If you choose a cloud answering model, the question and selected passages leave the device for that provider. Credentials stay in the operating-system credential vault. Customer content is not used for training unless the customer separately opts in.

Feature Local material Possible outbound Trigger Credential location
OAuth, signed entitlements, and device registration Device and entitlement cache Identity and device-bound entitlement fields Sign-in or refresh Operating-system credential vault
User-selected cloud model or connector Local evidence selection and indexes Only the data required for that explicit operation User configures and sends the request Operating-system credential vault
MemStrata-managed email Local alert or report draft Minimized message and recipient User-configured delivery; one message per signed-in user per UTC day during trial Server secret plus entitlement
Memory, OCR, and optional visual retrieval Conversation archives, notes, documents, and selected evidence pages Selected evidence and question to a local or BYOK reader Explicit question or configured reader call Operating-system credential vault

Install

Install this product

Full product access for 180 days after activation. No subscription during the trial.

Detected: choose your system. Change the operating system if this is wrong.

Architecture

x64

Shell

PowerShell or Command Prompt

MemStrata Conversational 0.7.19 · Windows x64 · Python >=3.10

Windows 10 or newer, x64. This block installs the app, checks its version, then starts onboarding with memstrata-conversational.cmd init

Get it from Microsoft Store

The Store listing is separate from this wheel command. The version the Store delivers can differ from a newer submission still in certification.

PyPI package page

Install with Command Prompt

Use this after activating a Python 3.10+ environment in Command Prompt. It installs the pinned version and starts setup only if installation succeeds.

Command Prompt

python -m pip install --upgrade --only-binary=:all: "memstrata-conversational==0.7.19" && python -m memstrata_conversational_launcher init

Install with PowerShell (for developers)

PowerShell

& {
  $ErrorActionPreference = 'Stop'
  $v = "$env:USERPROFILE\MemStrata\venvs\conversational"
  py -3 -m venv "$v"
  if ($LASTEXITCODE -ne 0) { throw 'Environment creation failed.' }

  $p = (py -3 -c "import os,sys; print(os.path.realpath(sys.argv[1]))" "$v\Scripts\python.exe").Trim()
  if ($LASTEXITCODE -ne 0 -or -not (Test-Path -LiteralPath $p)) { throw 'Environment Python was not found.' }
  & $p -m pip install --upgrade --only-binary=:all: "memstrata-conversational==0.7.19"
  if ($LASTEXITCODE -ne 0) { throw 'Installation failed.' }

  $launcher = Join-Path (Split-Path -Parent $p) 'memstrata-conversational.cmd'
  if (-not (Test-Path -LiteralPath $launcher)) { throw 'Launcher was not installed.' }
  $actual = (& $launcher --pypi-package-version | Out-String).Trim()
  if ($LASTEXITCODE -ne 0 -or $actual -ne '0.7.19') { throw 'Installed version does not match 0.7.19.' }
  & $launcher init
}

memstrata_conversational-0.7.19-py3-none-win_amd64.whl · sha256 b29a9b63f721e3928bfe43fbf55824ab843448bc528f51ca94ab55009ec2a018

Python and platform requirements

A browser cannot reliably know your OS version or whether Python is installed. Python 3.10 or newer is required. If Python is missing, install it from python.org/downloads/windows and open a new terminal. The environment uses %USERPROFILE%\MemStrata\venvs to avoid Microsoft Store Python's LocalAppData redirection and resulting long package-cache paths. Interpreter realpath resolution is retained.

Troubleshooting

If setup stops, open the troubleshooting guide. Paste the PowerShell block into PowerShell or the separate Command Prompt block into Command Prompt.

180 days of full product access after activation. No subscription during the trial. Reinstalling does not restart it. Model-provider charges, if any, are separate. MemStrata-managed email is limited to one message per signed-in user per UTC day. For access after the trial, contact us about paid access. Trial terms

FAQ

Does Conversational include an answering model?

No. You use your own AI. MemStrata keeps the index on your computer and shows the passages behind the answer.

What reaches a cloud provider?

Only the content needed for the connection you choose. Local indexes stay on your device. Account services and selected remote policy checks use MemStrata services.

Who answers a PDF question?

Nomic or a visual retriever selects evidence. Tesseract reads scans. The AI you connect writes the answer. Visual retrievers are not the final answer.

Where are model weights stored?

Weights for a local answering model stay where that model stores them, typically on the same machine. MemStrata does not upload model weights as part of ordinary use.

Which model writes the answer?

The one you connect. MemStrata does not ship a built-in answering model.

What happens when evidence is insufficient?

The product should show that the selected evidence is limited rather than invent a source. Inspect the evidence panel before treating the answer as complete.

Install Conversational