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@remnic/cli

v9.3.518

Published

CLI for Remnic memory — init, query, doctor, daemon management

Readme

@remnic/cli

CLI for Remnic memory and context -- init, query, daemon management, connectors, curation, and more.

Part of Remnic, open-source memory and context for user-aware agents.

Install

npm install -g @remnic/cli

This installs the remnic command (and a legacy engram forwarder).

Quick start

remnic init                     # Create remnic.config.json
export OPENAI_API_KEY=sk-...
export REMNIC_AUTH_TOKEN=$(openssl rand -hex 32)
remnic daemon start             # Start background server
remnic status                   # Verify it's running
remnic query "hello" --explain  # Test query with tier breakdown

Commands

| Command | Description | |---------|-------------| | remnic init | Create a config file | | remnic daemon start/stop/status | Manage the background server | | remnic query <text> | Search memories | | remnic doctor | Diagnose configuration issues | | remnic connectors install <name> | Connect Claude Code, Codex CLI, Replit, etc. | | remnic curate | Interactive memory curation | | remnic dedup | Find and merge duplicate memories | | remnic sync | Diff-aware sync with external sources | | remnic offline prepare/sync/status/watch | Use a local memory cache and sync with a remote Remnic daemon | | remnic spaces | Manage memory namespaces | | remnic bench list | List published benchmark packs | | remnic bench datasets status/download | Check or download local benchmark datasets | | remnic bench runs list/show/delete | Manage stored benchmark result files | | remnic bench run | Run one or more published benchmark packs | | remnic bench compare | Compare two stored benchmark results | | remnic bench baseline | Save or list named benchmark baselines | | remnic bench export | Export a stored benchmark result as JSON, CSV, or HTML | | remnic bench providers discover | Auto-detect local provider backends | | remnic bench publish --target remnic-ai | Build the Remnic.ai benchmark feed from stored results |

Run remnic --help for the full command list.

Offline mode is intended for laptops that need Remnic on flights, cruises, or other disconnected stretches. Point agents at the laptop daemon, then run remnic offline watch to sync with the home daemon whenever it is reachable. See Offline Mode.

Benchmarks

The phase-1 benchmark surface is exposed through remnic bench, with remnic benchmark kept as a compatibility alias.

remnic bench list
remnic bench run --quick longmemeval --runtime-profile baseline
remnic bench datasets status
remnic bench datasets download longmemeval
remnic bench datasets download --all
remnic bench runs list
remnic bench runs show candidate-run --detail
remnic bench runs delete candidate-run
remnic bench run --quick longmemeval
remnic bench run longmemeval --dataset-dir ~/datasets/longmemeval
remnic bench run longmemeval --runtime-profile real --remnic-config ~/.config/remnic/config.json
remnic bench run longmemeval --runtime-profile real --system-provider openai --system-model gpt-5.4-mini
remnic bench run longmemeval --runtime-profile openclaw-chain --openclaw-config ~/.openclaw/openclaw.json --gateway-agent-id memory-primary
remnic bench run longmemeval --matrix baseline,real,openclaw-chain
remnic bench compare base-run candidate-run
remnic bench baseline save main candidate-run
remnic bench baseline list
remnic bench export candidate-run --format csv --output ./candidate.csv
remnic bench export candidate-run --format html --output ./report.html
remnic bench providers discover
remnic bench publish --target remnic-ai
remnic benchmark run --quick longmemeval

--quick uses the lightweight benchmark path with a single-item limit so you can smoke-test the harness without running a full benchmark pass. When a benchmark ships a bundled smoke fixture, --quick uses that tracked fixture by default; full runs need a real benchmark dataset. In a repo checkout the CLI will use evals/datasets/<benchmark> automatically; in packaged installs pass --dataset-dir <path> explicitly.

Package-backed benchmark runs also write MANIFEST.json in the results directory. The manifest records result artifact hashes, dataset file hashes, fixed seeds, runtime profile/model configuration, git state, QMD collection names, selected benchmark environment keys, and config-file hashes. Secret argument values are redacted.

remnic bench datasets download currently manages the published benchmark datasets for ama-bench, memory-arena, amemgym, longmemeval, locomo, beam, personamem, membench, and memoryagentbench. Internal Remnic benchmarks keep their bundled or repo-managed fixtures.

Connecting agents

Once the daemon is running, connect any supported agent:

remnic connectors install claude-code   # Claude Code (hooks + MCP)
remnic connectors install codex-cli     # Codex CLI (hooks + MCP)
remnic connectors install replit        # Replit (MCP only)

All agents share the same memory store.

License

MIT