# helm-engram

> helm-engram — devops-ia-helm-engram. Use this tool when you need to manage persistent memory for AI coding agents, solving problems of data storage and retrieval for agent-agnostic systems. It provides a Helm chart for Engram, offering interfaces through HTTP API, CLI, and TUI, with SQLite and FTS5 support. Ideal for use cases requiring scalable and efficient memory management in AI development environments.

Canonical page: https://skillsregistry.net/skills/devops-ia-helm-engram  
JSON: https://api.skillsregistry.net/v1/skills/devops-ia-helm-engram

## Description

Helm chart for Engram - Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/devops-ia/helm-engram)

## 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": "devops-ia-helm-engram"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devops-ia-helm-engram` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devops-ia-helm-engram/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