Memograph CLI

Detect memory drift in AI conversation transcripts. Find where assistants forget facts, contradict themselves, ignore preferences, or force users to repeat instructions.

Works out of the box — no API keys or configuration required.

Install

Run instantly (no install)

npx @memograph/cli

Install globally

npm i -g @memograph/cli

After install, the command is memograph.

Usage

Interactive mode (recommended)

memograph

Launches a guided menu where you can load transcripts, view results, and manage settings — all with arrow-key navigation.

CLI mode (for scripts and automation)

# Analyze a transcript file
memograph inspect -i ./transcript.json

# JSON output (pipe to jq, save to file, etc.)
memograph inspect -i ./transcript.json --json

# Limit messages processed
memograph inspect -i ./transcript.json --max-messages 100

Transcript format

Create a .json file with this structure:

{
  "schema_version": "1.0",
  "messages": [
    { "idx": 0, "role": "user", "content": "My name is Tusher" },
    { "idx": 1, "role": "assistant", "content": "Nice to meet you, Tusher!" },
    { "idx": 2, "role": "user", "content": "Please reply in Bangla from now on" },
    { "idx": 3, "role": "assistant", "content": "Sure, I'll use English." },
    { "idx": 4, "role": "user", "content": "Reply in Bangla please (I told you before)" },
    { "idx": 5, "role": "assistant", "content": "I'll use Bangla from now on." }
  ]
}

Each message needs:

You can also pass a plain array of messages without the wrapper object, or even raw text — the CLI handles normalization.

What it detects

Example output

=== Memograph Inspect Report ===
Drift Score: 65/100 (raw: 65)
Token Waste: 18.2%

Critical Events:
- [contradiction] sev=4 conf=0.90 idx=0,2
  User identified as "Alice" at idx 0, then "Bob" at idx 2
- [preference_forgotten] sev=3 conf=0.85 idx=2,4
  User repeated language preference (Bangla) that was previously stated

Should-have-been memory (top):
- identity:name="Tusher" @0 (conf 0.95)
- pref:language="Bangla" @2 (conf 0.90)

CLI options

memograph inspect -i <path> [options]

Options:
  -i, --input <path>           Path to transcript JSON file (required)
  --json                       Output JSON instead of human-readable text
  --max-messages <n>           Cap number of messages processed (default: 2000)
  --analyze-mode <mode>        Analysis mode: "hosted" or "llm"
  --api-url <url>              Custom analyze API URL
  --api-timeout-ms <ms>        API request timeout in milliseconds
  --api-retries <n>            Number of API retries on failure
  --llm-provider <provider>    LLM provider (openai, anthropic, etc.)
  --llm-model <model>          LLM model name
  --llm-api-key <key>          LLM API key
  --llm-base-url <url>         Custom LLM base URL (e.g., for Ollama)
  --llm-temperature <temp>     LLM temperature (0.0-1.0, default: 0.3)
  --llm-max-tokens <tokens>    Max tokens for LLM response (default: 4096)

Environment variables

Requirements

• Node.js >= 18.0.0

License

MIT