← Browse tools

Data & context

MemOS

Editable and composable memory collections with agent-specific capture and recall integrations.

Overview

Research summary

MemOS provides infrastructure for storing, retrieving, editing, and deleting long-term context used by AI agents. Its memory model includes knowledge collections that can be isolated or composed across users and projects, with support for tool traces, multimodal inputs, and feedback-driven corrections. The repository also supplies integrations that capture useful experience and recall relevant information during later tasks. Developers can inspect and manage memory rather than treating it only as a vector index. This entry covers the Apache-2.0 project and avoids treating upstream benchmark claims as universal results.

Repository summary

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for MemOS.

Implementation details

TypeScript and Python memory-management platform

Languages
TypeScript, Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

MemTensor/MemOS ↗

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 4

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

Community & social 3 channels

Communities

Social & updates