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How Sedimenta compares

Sedimenta sits between a team workspace and a memory layer for AI agents. Here is how it differs from the tools people compare it with — and when those tools are the better choice.

Team workspacesMemory for agentsPersonal knowledgeEnterprise AI search
Team workspaces

Notion, Confluence, Outline, Docmost, AFFiNE

The same shape — documents and databases for a team — but in Sedimenta agents are first-class writers: the server checks their writes against your rules, and every value keeps its source.

SedimentaNotionConfluenceOutlineDocmostAFFiNE
Run on your own serverYes, including fully offlineNo, cloud onlyData Center; Rovo agents cloud onlyYesYesYes, free up to 10 members
DatabasesTyped, with relations, formulas and rollupsYesPages onlyDocuments onlyBases, since 2026Basic, no relations or rollups
MCP for agentsBuilt in, token or OAuthYes, OAuthYes, OAuth; cloudBuilt inPaid editionBuilt in; writes in preview builds
Agent writesChecked by server rules; proposals for reviewConfirmed by a personChanging actions confirmedAPI key scopes——
Source of every valueField-level, down to the quote—————
PricingFree for small teams; per workspace, not per seatPer seat; agents Business+Per seat; Rovo creditsPer userFree core; paid featuresPer seat
When Sedimenta isn’t the right fit
  • You don’t need your own server and want the largest ecosystem with mobile apps today.
  • Your team lives in Jira and wants its pages tightly tied to it.
  • You only need a wiki for documents, without databases or agents writing to it.
  • You need SAML or LDAP single sign-on today — ours is planned for organizations.
  • You want a whiteboard right next to your documents.
Memory for agents

Mem0, Zep, Cognee, Letta, Supermemory

These are memory engines and APIs that a developer builds into an agent. Sedimenta is the memory of a company that any agent connects to — with a workspace where people read, correct and approve what agents wrote.

SedimentaMem0ZepCogneeLettaSupermemory
Built forTeams and their agentsAgent developersAgent developersAgent developersBuilding agentsAgent developers
Workspace for peoplePages, databases, permissions—————
Run on your own serverYesYes; graph in cloud onlyCloud; BYOC on EnterpriseYesYesOn Scale plan; server closed
Approval of agent writesAny write can require it——Skill proposals onlyApproval of tool callsDerived memories, via API
ProvenanceField, document fragment, who approved—Link to episodeTo file; hash chain behind a flagPer commitTo whole document
Rules that refuse a writeYes, enforced by the serverExtraction instructionsStrict ontology drops dataStrict ontology drops data——
When Sedimenta isn’t the right fit
  • You are building your own agent and only need a memory API inside it, with no workspace for people.
  • You need a framework to build stateful agents rather than a shared memory for a team.
  • You want a knowledge-graph engine to embed in your own product.
Personal knowledge

Obsidian, Capacities, Pieces

Great tools for one person. Sedimenta is for a team: shared databases, permissions and agents that write for everyone — and it still runs on one laptop and exports to Markdown.

SedimentaObsidianCapacitiesPieces
Built forTeams; also one person on a laptopOne personOne personOne developer
Team editing and permissionsReal-time editing, spaces, per-record access———
Where data livesYour server or laptop; Markdown exportMarkdown files locallyVendor cloudLocally
AgentsMCP with rules and approvalThrough plugins—MCP for coding tools
When Sedimenta isn’t the right fit
  • You keep notes only for yourself and want plain files with thousands of plugins.
  • You want a personal notebook with mobile capture.
  • You want passive memory of your own coding sessions.
About this page

How we keep it fair

Checked against vendors’ public pages and documentation in October 2026. Products change quickly — if something here is out of date or unfair, write to hello@sedimenta.ai and we will fix it. Sedimenta itself is in private preview.

See it on your own data

We’re working with a small number of teams that already use AI agents in their daily work.

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