# Hjarni vs Context Cloud

Context Cloud stores typed memory chunks for engineering teams. Hjarni is a shared Markdown knowledge base your team and their AI tools read and write.

**Quick answer**

Context Cloud and Hjarni both provide shared knowledge through hosted MCP servers. Context Cloud centers on typed entries for engineering teams and includes a dashboard for human editing. Hjarni centers on Markdown documents, folders, note history, and team roles. Choose the knowledge format and editing workflow your team needs, then verify access controls, retrieval, and export with a small example.

Checked 20 October 2026 against [Context Cloud’s product and pricing page](https://contextcloud.pro/). Product claims below reflect that page; export format and hosting region were not verified.

| Feature | Hjarni | Context Cloud |
| --- | --- | --- |
| Primary shape<br>Context Cloud describes decisions, findings, conventions, and state as typed chunks. Hjarni keeps titled documents. | Markdown notes in folders | Typed knowledge entries |
| MCP server<br>Both provide first-party hosted access for compatible assistants. | Official, hosted | Official, hosted |
| Shared knowledge<br>Both describe shared knowledge with access controls. Compare the permission setup needed for your team. | Team folders and roles | Shared workspaces and role-based access |
| Human editing<br>Context Cloud explicitly advertises a dashboard where people browse, search, edit, and curate knowledge. It is not exclusively an agent interface. | Note editor, web and mobile | Dashboard editing and curation |
| Attribution<br>Hjarni provides note versions and one-click restore. Context Cloud advertises attribution and session history. | Person or named assistant per edit | Author and session per chunk |
| Search<br>These are different retrieval designs. Neither is a guarantee that an assistant will retrieve the right context. | Full-text search | Hybrid semantic and keyword retrieval |
| Source material<br>Context Cloud also advertises document uploads. It is not limited to captured conversations. | Markdown notes and attachments | Typed chunks and uploaded documents |
| Export<br>We have not verified a documented Context Cloud export format. That does not establish that export is unavailable. | Active notes and attachments as Markdown ZIP | Confirm current export options |
| Pricing<br>As checked on 20 October 2026, Context Cloud advertises no-cost shared workspaces. Hjarni uses note quotas and subscriptions. | 25 free team notes, then per seat | Advertised as free |
| Best fit | Documentation people and assistants maintain | Structured context for engineering teams |

## Both serve people as well as assistants

Context Cloud describes shared workspaces of typed knowledge and a dashboard where people edit and curate it. Hjarni provides Markdown documents in folders, with a web editor, mobile apps, tags, and links. The distinction is the unit you maintain, rather than whether humans can read the content.

## Shared memory is available in both

Both offer hosted MCP access and shared knowledge with permissions. Hjarni records note edits with attribution and one-click restore. Context Cloud advertises attribution on chunks and session history. These are different review workflows; try correcting a decision and inspecting its history before choosing.

## Verify the boundaries you need

Hjarni normal OAuth connections are account-wide; scoped agent tokens are configured separately for selected folders or spaces. Folder instructions guide assistants and do not enforce access restrictions. For either product, check exactly what a connection can read and write, and verify the assistant retrieves the intended material.

## When Hjarni fits

Hjarni fits a team that wants the knowledge assistants use to be ordinary documentation: runbooks, decisions, and research notes people maintain directly. Active notes and attachments export as a Markdown ZIP, while revisions and folder instructions are separate. Context Cloud is worth evaluating when typed engineering context and its advertised free shared workspaces suit the work. Confirm its current export workflow before relying on a migration plan.

## When to use Context Cloud

- You want typed engineering knowledge and hybrid retrieval
- You want shared workspaces with a curation dashboard
- Its currently advertised free offering fits your team

## When to use Hjarni

- You want Markdown documents as team documentation
- You want a web editor, mobile apps, and note history
- You want per-folder roles and a Markdown ZIP export

Choose the knowledge format your team can maintain.

Common questions

## Common questions

**What is Context Cloud?**

A shared context product with MCP access, dashboard editing, team workspaces, document uploads and hybrid search. See [official documentation](https://contextcloud.pro/).

**Is Context Cloud the only MCP memory server with shared team workspaces?**

No. Hjarni also offers shared team notes and roles through an official hosted MCP endpoint. Compare the exact sharing and editing model.

**How is Hjarni different from Context Cloud?**

Hjarni’s verified workflow uses Markdown notes, folders, attributed history and scoped agent tokens. Context Cloud presents shared context and document ingestion. Detailed API capabilities, export format and hosting region remain unverified in this comparison.

**Can my AI’s edits to Hjarni notes be reviewed and undone?**

Yes. Note content edits have attributed versions and can be restored. Instructions guide behavior, while enforced permissions control access. Standard Markdown export does not include that history.