Memory you
can reason with.

Store facts and rules as readable knowledge. Ask useful questions. Get deterministic answers with the proof attached.

Local-first by default. Logic owns the answer.
Question

Who is collaborating on Atlas?

Querycollaborator(Person, atlas)
Answer

Maya is collaborating on Atlas.

Because
  1. 1project_owner(atlas, rahul)
  2. 2project_contributor(atlas, maya)
Atlas planning session · 17 AugOpen in playground

Not another vector store.

Similarity finds nearby text. Remembero proves what follows.

Readable memory

Plain-text facts, rules, and constraints.

project_owner(atlas, rahul).
status(atlas, blocked).

Deterministic rules

Same knowledge. Same query. Same answer.

needs_follow_up(Person, Project) :-
  promised_update(rahul, Person, Project),
  status(Project, blocked).

Proof, not vibes

Every derived answer carries its supporting claims.

collaborator(maya, atlas)
├─ project_owner(atlas, rahul)
└─ project_contributor(atlas, maya)

The database is the demo.

Insert a SQLite row, run Datalog, then inspect the exact facts and rule behind the answer—all inside your browser.

Open the full playground
Remembero SQLite and Datalog IDE showing tables, a query, proof, and graph
SQLite owns the rows. Ordinary tables remain the storage authority.Rules own the query. The C extension executes inside SQLite WebAssembly.Proof owns the answer. Every result can show its complete support chain.

An answer is only useful if you can inspect why.

1

Store evidence

Capture a fact with the statement it came from.

project_owner(atlas, rahul).
2

Apply reviewed rules

Derive useful knowledge without storing invented conclusions.

collaborator(Person, Project) :- …
3

Return the support chain

Inspect the exact claims and rules behind every answer.

answer → rule → sourced facts

Models translate.
Rules decide.

Natural language can translate a question into a query. Remembero evaluates the accepted query against explicit knowledge and returns the evidence locally.

  1. Question natural language
  2. Translate model
  3. Query accepted
  4. Evaluate rules + facts
  5. Answer + evidence

One memory layer.
Three ways in.

MCPConnect agents and tools through Model Context Protocol servers.
TypeScriptUse the typed library API inside your applications.
CLInpx -y remembero

Build agents that can show their work.

Try a real-life lab first, then open the IDE when you want to inspect the machinery.