# Novyx Memory

> Use this tool when you need to persist and manage AI agent session data, collaborate with multiple agents, or debug complex interactions. Novyx Memory solves problems related to data retention, multi-agent collaboration, and debugging, providing features like semantic search, knowledge graph triples, and audit trails. It accepts AI agent session data as input and outputs searchable, replayable, and collaborative memory timelines, accessible via cloud API or local SQLite interfaces.

Canonical page: https://skillsregistry.net/skills/novyxlabs-novyx-memory  
JSON: https://api.skillsregistry.net/v1/skills/novyxlabs-novyx-memory

## Description

Provides persistent memory storage for AI agent sessions with semantic search, knowledge graph triples, and audit trails. Context spaces enable multi-agent collaboration with fine-grained permissions. Replay tools offer time-travel debugging through memory timelines, snapshots, and diffs. Supports both cloud API and local SQLite operation modes.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/novyxlabs-novyx-memory)
- **Repository:** <https://github.com/novyxlabs/novyx-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "novyxlabs-novyx-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/novyxlabs-novyx-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/novyxlabs-novyx-memory/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt