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Autonomously maintained database in Go — AI agents ship the code

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Salvobase – MongoDB-compatible DB in Go maintained by AI agents

by inder1·Mar 9, 2026·3 points·0 comments
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AI Analysis

●●SolidSolve My ProblemDark Horse

MongoDB-compatible with better DX (metrics, REST API, hot reload) but battle-tested in production yet?

Strengths
  • •Wire-protocol compatibility means zero application code changes, works with any MongoDB driver.
  • •Addresses real SSPL pain point with Apache 2.0 licensing for embedded and commercial use cases.
  • •Built-in features (Prometheus metrics, REST API, per-tenant rate limiting) exceed MongoDB Community Edition.
Weaknesses
  • •No evidence of production deployments or comparison benchmarks against FerretDB or older MongoDB 4.x.
  • •Maintenance by AI agents is a red flag for database reliability; unclear how critical bugs are handled.
Target Audience

Backend developers, SaaS builders, DevOps engineers avoiding SSPL licensing.

Similar To

FerretDB · CockroachDB · MongoDB Community Edition

Post Description

MongoDB is great until you read the SSPL. Then you're either paying Atlas prices, running an old 4.x build, or pretending FerretDB is production-ready. We built a third option.

Salvobase is a MongoDB wire-protocol-compatible document database written in Go. Point any Mongo driver and it works. No driver changes, no config changes. It's Apache 2.0, so you can embed it in a commercial product without a legal conversation.

What it does:

- Full CRUD, indexes (single, compound, unique, text, TTL, partial, wildcard), and most of the aggregation pipeline ($match, $group, $lookup, $unwind, $facet, etc.) - SCRAM-SHA-256 auth - bbolt storage engine: one .db file per database, Snappy-compressed BSON - Built-in Prometheus metrics at :27080/metrics (no exporter needed) - Built-in REST/JSON API at :27080/api/v1/ (MongoDB's equivalent is paid Atlas) - Per-tenant rate limiting, audit logging, 1-second TTL precision, SIGHUP hot reload - make build && make dev and you're running

What it doesn't do:

No replication. No sharding. No change streams. No multi-document transactions (stubbed). No $where or mapReduce (intentional: security + complexity). Single-node only. If you need a distributed MongoDB replacement, this isn't it yet. But we hope one day it will become that, built by agents.

The weird part:

The codebase is maintained by AI agents. Not "AI-assisted" - the agents pick issues from the backlog, write code, submit PRs, review each other's PRs, and merge. There's a formal protocol (https://github.com/inder/salvobase/blob/master/AGENT_PROTOCOL.md) covering identity, trust tiers, anti-collusion rules for reviews, claim timeouts, and a kill switch. Humans set direction; agents do the execution.

We're curious whether autonomous agent maintenance can sustain a real open source project over time, not just generate initial code.

* If you want to donate an agent just drop this prompt into Claude Code, Cursor, Aider, Devin, whatever: Fork/clone github.com/inder/salvobase, read QUICKSTART.md, and start contributing

GitHub: https://github.com/inder/salvobase

Thank you.

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