Keys, connections, Server Info, Console, and workspaces.
Analyze, SQL, execution plans, reports, and AI assistance.
Live Traffic, Pub/Sub, dashboards, and repeatable load.
Breakpoints, history, recordings, replay, and Time Machine.
Migration, Compare & Sync, scripts, CLI, custom tools, and MCP.
Integrated Valkey, Failure Lab, Cloud KV, and team resources.
/ The complete workbench
Browse and edit at production scale. Break, inspect, and rewrite live traffic. Move through history, compare environments, create Valkey, synchronize the workbench, and let AI tools operate through Varc’s safety boundaries.
Find a key, inspect its value, and ask a question.
Follow traffic and understand a write.
Review evidence before changing an environment.
Native product direction. The catalogue includes work in development; it is not a release availability list.
/ Explore Varc
Pick a workflow · watch the outcome
Debug
A SET command held before execution
investigate / Debug
Put an opt-in proxy in front of real application traffic. Break on the exact command that matters, inspect it while it is held, and decide what Redis should see next.
The result
The matching write is paused; later commands remain queued until you choose an outcome.
See what actually happened
Varc turns Redis activity into something you can stop, inspect, trace, and deliberately reverse — without pretending incomplete evidence is certainty.
01 · Debug
Put an opt-in proxy in front of real application traffic. Break on the exact command that matters, inspect it while it is held, and decide what Redis should see next.
02 · History
Follow commands across the key browser, Console, scripts, debugger, migrations, MCP, and other Varc workflows. Receipts preserve what ran, where it came from, and whether it can be undone.
03 · Time Machine
Scrub captured history, preview the state at an earlier moment, and rewind only after Varc has shown the exact writes, gaps, boundaries, and conflicts involved.
Production-sized data, ordinary interactions
Windowed indexes, bounded transfers, and typed editors keep the workflow fast whether the database holds hundreds of keys or tens of millions.
04 · Keys
Search and navigate exact binary-safe keys through tree or Miller-column views, then open a purpose-built editor for the value type you found.
05 · Analyze
Reuse the encrypted key index to reveal namespace, type, expiry, and size patterns. Move from an aggregate outlier straight back to the keys behind it.
Use the language that fits the question
Run exact commands when you know them, use SQL when that is clearer, and keep both paths topology-aware and honest about cost and partial writes.
06 · Console
Write Redis and Valkey commands with a live command catalog, binary-safe arguments, readable RESP results, saved history, and review-only AI assistance.
07 · SQL Query
Use SELECT or UPDATE over one logical Redis table. Preview the plan, preserve structured values, and change keys, TTLs, scalar values, and collections with explicit partial-commit reporting.
Keep the live system legible
Varc separates passive observation from active interception, so each monitoring tool can tell the truth about its source, limits, and reconnect behavior.
08 · Server Info
Inspect health, clients, memory, persistence, replication, command statistics, modules, and raw INFO for one node or the deployment as a whole.
09 · Dashboard
Build focused dashboards from live server signals, saved resources, and long-running Varc operations, then keep that arrangement with the connection workspace.
10 · Pub/Sub
Monitor classic, pattern, sharded, and keyspace-notification traffic in bounded feeds with explicit subscription intent and visible reconnect gaps.
11 · Live Traffic
Use MONITOR-backed capture for a passive view of commands from direct clients. Filter by source, inspect latency and replies, and start or stop capture independently of the debugger.
12 · Benchmark
Build deterministic workloads from presets, weighted commands, templates, or captured profiles. Control rate and pipelining, then inspect reports instead of settling for one throughput number.
Change environments with evidence
Preview work before it starts, keep progress reattachable, verify what landed, and describe partial outcomes honestly when the source changes underneath you.
13 · Migration
Run topology-aware live copies or create portable .varcmigrate bundles. Follow bounded progress and receive an explicit drift report rather than a false snapshot claim.
14 · Compare & Sync
Compare two live environments semantically, select whole-key changes, preview exact commands, apply behind guarded fences, verify, and explicitly undo when safe.
Repeat the work without hiding it
Scripts and transformers bring repeatability to Redis workflows while preserving explicit limits, binary values, and the same saved-resource model as the rest of the app.
15 · Scripts
Write bounded TypeScript automations with typed Redis helpers, review write intent before execution, save them to a connection, and refine them with contextual AI.
16 · Transformers
Attach reusable, sandboxed decoders to matching values so compressed, encoded, or application-shaped bytes can be understood alongside their original representation.
Keep the workbench yours
Varc treats tool placement, splits, panels, and dashboards as part of the working context you should be able to leave and recover.
17 · Workspaces
Save split groups, tool tabs, Dock order, side panels, sizes, and supported tool state against a connection profile, then restore that intent safely on another session.
Beyond the workbench
Create infrastructure, carry safe configuration between devices and teams, connect AI tools, and publish debugger sessions without leaving Varc's ownership boundaries.
18 · Integrated Servers
Spin up a local Valkey deployment and open it through the same saved connection, browser, Console, debugger, Pub/Sub, and benchmark tools used for every other server.
19 · Cloud KV
Provision a small managed Valkey database from the desktop, let it wake when opened, and use the complete workbench against its secured endpoint.
20 · Cloud Sync
Synchronize connections, groups, scripts, saved workspaces, and safe settings through a personal scope while keeping passwords, certificates, and private keys device-local.
21 · Team Sync
Copy or move selected connections, scripts, and supported resources into a shared Team scope so members discover the same setup without sharing credentials.
22 · Built-in AI
Open a contextual assistant from Console or Scripts to generate, explain, fix, and refine the current work. Responses stream quickly but remain proposals until their complete result validates.
23 · Varc MCP
Connect external MCP clients to Varc's real Redis and Valkey workbench: saved profiles, bounded SQL reads and updates, topology inspection, debugger control, scripts, workloads, migrations, comparison, verification, and undo.
24 · Public Debugger Tunnel
Publish an active debugger session through an authenticated TLS endpoint, point a remote application at it, and retain the same command-source attribution and local debugger controls.
25 · Varc CLI
Define named connections and workloads in strict TOML, run local or controllerless distributed benchmarks, and emit human, JSON, JSONL, or JUnit evidence with stable exit codes.
Built underneath every tool
Redis, Valkey, and Dragonfly capability detection.
Standalone, Sentinel, and Cluster-aware routing.
TLS, mTLS, SSH, CA bundles, and host verification.
Raw keys and values stay bytes from server to UI.
Secrets stay in native storage and the OS keychain.
Large keyspaces, values, streams, and jobs page explicitly.
Follow the native launch for macOS, Windows, and Linux and connect to the Redis or Valkey deployment you already have.