// agents · CaviraOSS/LongMemory

LongMemory

LongMemory est un projet de agents IA open source, créé par CaviraOSS (CaviraOSS/LongMemory sur GitHub). Il compte 4 523 étoiles sur GitHub et 506 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 20 septembre 2026.

LongMemory: local-first memory for AI agents with temporal truth, provenance, and hybrid recall

★ 4,5 k étoiles⑂ 506 forksApache-2.0mis à jour sept. 2026

Voir sur GitHub ↗

▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.

// détails du projet

Détails du projet

Dépôt: CaviraOSS/LongMemory
Étoiles GitHub: 4 523
Forks: 506
Licence: Apache-2.0
Dernière mise à jour sur GitHub: 20 septembre 2026
Catégorie: Agents IA
Type de fiche: Guide d'installation complet

// fonctionnement

Comment ça marche

Choose your surface
Use the npm library in-process, the global CLI, the Docker/HTTP server, or the MCP server for agent clients.
Install
Install the package from npm (or the Python SDK from PyPI).
Initialize memory
Create a memory instance or run the CLI init to create a local database.
Ingest and recall
Ingest a first fact or conversation, then recall it with the mode that fits your question.

// fonctionnalités

Pourquoi on l'adore

Temporal truth

Records keep both recorded time and valid time, so facts can change without rewriting history.

Immutable content with provenance

Source, author, confidence, and timestamps travel with memory items; nothing is silently lost.

Four recall modes

Strict, historical, associative, and world-grounded recall over BM25, vector, and graph signals.

Governance and isolation

Tenant, user, project, session, and role scopes, with encryption at rest and a tamper-evident audit trail (per the README).

Many ways to run

In-process library, CLI, HTTP server on port 7331, Docker image, MCP server, dashboard, and VS Code extension.

Flexible embeddings

OpenAI-compatible endpoints, Google Gemini, Amazon Bedrock, Ollama, or a built-in local embedder.

// lancez-le

Lancez-le vous-même

Clone the repository
Clone the project and enter its directory for the source/server path.
```
git clone https://github.com/CaviraOSS/LongMemory.git
cd LongMemory
```
Install as a library or CLI
Add it to a Node project, or install the CLI globally.
```
npm install longmemory
# or: npm install --global longmemory
```
Initialize and recall
Initialize a database and run your first recall from the CLI.
```
longmemory init
longmemory recall "current project priorities" --mode associative
```

// cas d'usage

Ce que vous pouvez créer

Give a support agent memory that respects when facts were true
Let a coding agent recall project decisions across sessions with provenance
Run auditable, scope-isolated memory for multi-tenant agent products
Connect Claude or another MCP client to a persistent local memory store

// faq

Questions fréquentes

Who maintains LongMemory?

CaviraOSS publishes LongMemory (server images under ghcr.io/caviraoss); it is an open-source project.

Is LongMemory free?

Yes, Apache-2.0 licensed and local-first — your data stays in a local SQLite database unless you choose otherwise.

Does it need a paid API key?

Not necessarily: local and Ollama embedding options avoid hosted APIs; choosing OpenAI, Gemini, or Bedrock embeddings uses your own keys.

How does it compare to a plain vector database?

A vector store returns similar chunks. LongMemory adds typed records, temporal validity, provenance, governance scopes, and recall modes that combine keyword, vector, and graph signals.

How do I get started?

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Obtenir LongMemory

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.

Voir sur GitHub ↗← Plus d'outils agents IA