# ContextEngine

> ContextEngine — fastprod-contextengine. Use this tool when you need to maintain session continuity and memory for AI agents without relying on external APIs or keys. The ContextEngine solves problems related to information retention and recall across multiple interactions, providing a seamless experience. It accepts input from various sources and outputs contextualized responses, ideal for applications requiring persistent memory and local data processing.

Canonical page: https://skillsregistry.net/skills/fastprod-contextengine  
JSON: https://api.skillsregistry.net/v1/skills/fastprod-contextengine

## Description

MCP server — AI agents that remember across sessions. Zero API keys, 100% local.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/FASTPROD/ContextEngine)

## 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": "fastprod-contextengine"
    }
  }
}
```

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