# grepogram

> grepogram — nnemirovsky-grepogram. Use this tool when you need to perform semantic searches within your Telegram chats, leveraging a fully local hybrid retrieval system. It solves problems of information overload and disorganization in chat histories, providing a command-line interface for seamless integration with AI agents. The grepogram tool takes in chat data as input and outputs relevant search results, making it ideal for use cases where quick and accurate information retrieval is necessary.

Canonical page: https://skillsregistry.net/skills/nnemirovsky-grepogram  
JSON: https://api.skillsregistry.net/v1/skills/nnemirovsky-grepogram

## Description

Semantic search for your Telegram chats — fully local hybrid retrieval, MCP server + CLI for any AI agent

## Trust

- **Trust score (0–1):** 0.26
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nnemirovsky/grepogram)

## 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": "nnemirovsky-grepogram"
    }
  }
}
```

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