If your search for a Claude Science alternative has led you to AIPOCH Open-Science, the next question is operational: what must your team prepare before using it? Start with data boundaries, a supported model route, a usable execution environment and explicit permissions. Plan the handoff too: .science packages can carry selected conversation branches, file versions, Notebook records and verification evidence. Read the official package guide before deciding what to share.
This is an adoption checklist, checked on October 19, 2026 against v1.0.0 and official setup guides. For the broad product decision, use Claude Science vs. AIPOCH Open-Science. AIPOCH develops Open-Science; this page does not document automatic migration from Claude Science.
What will your team operate?
AIPOCH Open-Science is an open-source, local-first, model-agnostic, self-hosted AI research workbench for reproducible scientific discovery. Operating it means choosing and maintaining the application, compatible services and research environments your workflow requires.
Source access gives the team an inspection and modification path. It does not make external models, compute, licensed datasets or every dependency free or open. Assign an application owner, a data owner and a method reviewer before moving beyond a small pilot. One person can fill several roles, but each decision needs an accountable owner.
This page's deliverable is a readiness record: the selected release, permitted inputs, model endpoint, runtime, tool permissions, review criteria and handoff scope. It is not a claim that the application supplies your institution's governance process.
Which installation path should you use?
Use the official desktop installer for the selected release unless your team has a reason to maintain a source build. The installation guide distinguishes those paths and their prerequisites.
| Path | What to prepare | What to record |
|---|---|---|
| Desktop installer | Supported computer and architecture; official release asset | Installed version, asset identity and checksum verification |
| Source build | The selected release tag and its documented build prerequisites | Tag, commit, dependency preparation and build procedure |
| Remote scientific execution | A registered host, valid authentication, allowed working directories and required software | Host, permissions, runtime and, for Slurm, scheduler access |
Version 1.0.0 publishes desktop packages; it does not publish the separate standalone CLI archives or Linux CLI packages described for some older releases. Do not assume a package-manager formula offers the same version as the desktop release. If a command-line entry is needed, follow the selected version's installation documentation.
Complete the first-time setup and verify the application, agent and model route. Opening a document preview is not a runtime execution test. Keep an isolated pilot project and a copy of important outputs before changing versions.
How should AIPOCH Open-Science data boundaries be documented?
Write down both storage locations and external destinations. “Local-first” describes an important storage default; it does not describe every network request in a configured workflow.
Use the documented trust boundary to prepare a route map:
| Route | Question to answer before approval |
|---|---|
| Project and saved outputs | Which computer and storage location hold the research record, and who controls backup access? |
| Model requests | Which provider receives prompts and selected file or tool context? |
| Searches and Connectors | Which search terms, identifiers, parameters or excerpts reach an external service? |
| Remote compute | Which inputs are transferred to which host and working directory? |
| Package exchange | Which selected files and recorded content will the recipient receive? |
The resulting map should name approved endpoints and excluded data classes. Test with public or synthetic inputs first. Review the data-flow article for additional questions, then apply the institution's own requirements to the actual configuration.
What must be prepared for model access?
Choose a compatible provider/backend combination and verify it with a small request. A provider label or saved credential alone does not establish that the chosen route works.
The provider setup guide explains supported service connections, custom gateways and compatible local endpoints. Record the provider, endpoint, selected model, backend, credential owner and applicable usage terms. Confirm that the intended input types and tools are supported by that combination.
An approved Claude route can supply model access inside the workbench. It does not transfer Claude Science sessions, scientific integrations, organizational permissions or plan entitlements. A local endpoint also does not establish a fully offline workflow: check searches, Connectors, downloads and other enabled routes separately.
Store credentials through the documented controls. Do not copy credentials into task prompts, reusable instructions or handoff documents. For the conceptual distinction between model access and the surrounding workspace, see the published Claude for Life Sciences guide.
What execution environment and permissions are needed?
Prepare the runtime where the task will actually run, then approve only the tools and paths it needs. Model connectivity, code execution and remote-host access are separate checks.
For a local pilot, follow the Notebook guide and inspect a completed run in the intended interpreter. Record dependency versions and any missing environment evidence. For remote work, follow the SSH and Slurm guide: a host requires valid authentication, directory permissions and installed software; Slurm additionally requires a usable scheduler and submission rights.
Review each enabled Connector, including its source, tools, credential requirements and data destinations. Reusable instructions describe a task; they are not a security approval. A familiar resource name is not sufficient evidence to trust an unfamiliar imported package.
Use permissions and approvals to choose the intended control level. For the readiness record, capture who may approve execution, which paths or services are allowed, which operations require a fresh decision and who can stop the pilot. Do not describe these team assignments as built-in enterprise role management.
How should the first handoff work?
Start a fresh, bounded task with permitted source materials, then use a .science package to test the exchange of its research record. Do not assume that another vendor's session format can be imported or executed.
For a team arriving from another workbench, the safe transition is a deliberate reconstruction: retain the materials you are authorized to export, record their origins, create a new project, configure access again and document which earlier steps are unavailable. This is a proposed team process, not an automated migration feature.
Follow the package guide to inspect export selection and the receiving record. Imported history is read-only, and import does not execute code or restore credentials. Side Chats and private reading bookmarks are excluded. A recipient can create a writable continuation separately, with its own model access, environment and permissions. Sender-supplied checks remain evidence of the sender's work.
When is the pilot ready to expand?
Expand only when the team can explain the data routes, inspect one completed task and handle its handoff without relying on hidden assumptions. A polished report is not sufficient acceptance evidence.
Use this review checklist:
- Selected release, installation owner and update procedure recorded.
- Permitted data and external destinations documented.
- Model/backend connection tested with non-sensitive material.
- Intended runtime and required imports exercised.
- Enabled tools, working paths and approval responsibilities reviewed.
- Saved output version, execution evidence and missing information inspected.
- Handoff contents and read-only import understood.
- Scientific reviewer has recorded what remains unverified.
Use the reproducibility checklist if the unresolved question concerns rerun evidence. Return to the comparison pillar if the unresolved question is the operating model itself. Otherwise, begin the pilot with the official AIPOCH Open-Science installation guide.
FAQ
Is AIPOCH Open-Science a self-hosted Claude Science alternative?
It is an independently operated, open-source research workbench with supported model connections. The broad choice is covered in the comparison pillar; this page explains the preparation needed to adopt it.
Can it automatically migrate Claude Science conversations?
This checklist makes no such promise. Rebuild a permitted task from available source materials and record any missing history; .science package exchange concerns the documented Open-Science format.
Does open source mean no operating cost?
No. Model services, compute, data access and staff time may have separate costs and terms; source availability does not remove those responsibilities.
Does importing a .science package restore access to the sender's services?
No. Imported history is read-only and does not restore credentials or permissions; continuing work requires separately configured access on the receiving installation.
Disclaimer
This article is informational and does not provide medical advice, clinical guidance, legal assurance or validated scientific conclusions. The checklist proposes team review steps; it does not establish regulatory compliance. Diagrams are conceptual.
AIPOCH Open-Science supports researcher-directed workflows. Researchers and their institutions remain responsible for permissions, data governance, methods and independent verification. External references do not imply affiliation or endorsement.