# DejaView

> Use this tool when you need to store and retrieve complex information about entities, or maintain long-term context across sessions. DejaView solves problems of knowledge management and information retrieval through its persistent knowledge graph and natural language querying capabilities. It accepts natural language inputs and outputs structured information, making it ideal for use cases requiring organized and contextualized data storage and retrieval.

Canonical page: https://skillsregistry.net/skills/dejaview  
JSON: https://api.skillsregistry.net/v1/skills/dejaview

## Description

Store and retrieve facts about entities through a persistent knowledge graph. Maintain long-term context across sessions with natural language querying and timeline tracking. Organize information using structured relationships to build a comprehensive memory system. Get you api key at https://dejaview.io

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/dejaview)

## 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": "dejaview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dejaview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dejaview/pull`

---
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