paerx

paerx / anhebridgeDB

Public

Time-Travel Event-Sourced KV Database with Stateful Auto-Transition

13
5
100% credibility
Found Mar 20, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

AnheBridgeDB is a versioned key-value store that logs all changes as events, supports historical queries and rollbacks, includes a simple query language, and enables automated state transitions through rules.

How It Works

1
👀 Discover AnheBridgeDB

You hear about a smart way to store important info like balances or orders, where every change is tracked and mistakes can be undone easily.

2
📥 Get and start it

Download the files and launch your personal data keeper with a simple command, watching it come alive on your computer.

3
🔗 Connect your tools

Use the built-in chat-like interface or quick commands to talk to your data keeper right away.

4
✨ Save and track changes

Store values like user balances, see the full history of every update, and rewind to any past version if needed.

5
🤖 Add smart rules

Set rules like 'if an order sits unpaid for 15 minutes, mark it as timed out' so your data updates itself automatically.

6
📊 Check and maintain

Verify everything is secure, take snapshots for backups, and watch performance stats to keep it running smoothly.

✅ Perfect data control

Now your information is always auditable, recoverable, and automated, giving you peace of mind for business or projects.

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AI-Generated Review

What is anhebridgeDB?

AnhebridgeDB is a Go-built, event-sourced KV database that lets you query past states with time-travel queries like GET key AT ts or ALLTIME WITH DIFF, perfect for github time travel debugging or reconstructing timelines. It stores append-only events with tamper-evident auth chains, supports rollbacks without data loss, and includes a DSL for writes, searches, and rules. Users get a single binary with CLI, HTTP API, WebSocket streaming, and SDK for stateful auto-transition workflows like order timeouts.

Why is it gaining traction?

It packs time-travel database features like versioned timelines and diffs into a lightweight KV store, outshining basic caches with built-in tamper checks and idempotent ops via business IDs. The rule engine auto-triggers transitions after delays (IF UNCHANGED FOR 15m THEN...), eliminating cron jobs, while stress tools and metrics endpoints make perf tuning easy. Devs dig the zero-config recovery and super-value refs for nested reads without joins.

Who should use this?

Backend engineers handling mutable state like user balances, order flows, or game leaderboards needing audit trails and rollbacks. Ideal for fintech apps tracking transactions with idempotency, or SaaS platforms automating timeouts without Kafka. Skip if you need relational joins or massive scale.

Verdict

Promising MVP for event-sourced prototypes—solid docs, CLI, and API—but 13 stars and 1.0% credibility signal early days with room for battle-testing. Prototype your next time-travel debugging github project here, then monitor for prod hardening.

(198 words)

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