Build Audit Trail and Event Sourcing Library

[mftee]

Create immutable event log system for document lifecycle tracking

Description:
Implement a Rust library for recording and querying immutable audit trails of all document operations.

Requirements:

• Event sourcing pattern implementation
• Append-only event log
• Event serialization (JSON, Protobuf)
• Event replay for state reconstruction
• Snapshot generation for performance
• Query API for event history
• CLI tool for event inspection
• Node.js FFI bindings
• Concurrent write handling
• Compression for old events

Acceptance Criteria:

• Events are stored immutably
• Replay reconstructs state correctly
• Snapshots improve query performance
• Concurrent writes are handled safely
• CLI tool queries events
• FFI bindings work correctly
• Unit tests verify consistency
• Documentation with examples

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[big14way]

@big14way has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi guys, lovely day! I'm Gwill. I'd like to take this one.

I'm a fullstack dev with 5 years of experience. Backend with Node and Rust —
REST APIs, PostgreSQL, Redis, auth flows, background jobs. Frontend with React
and TypeScript. Cloud infra with Docker, K8s, CI/CD. On Web3, I've been
building on Stellar/Soroban — smart contracts, Trustless Work integrations,
and wallet flows.

I've reviewed the codebase and understand the patterns. Happy to discuss
approach in a draft PR if needed. Can start right away

ℹ️ Repo Maintainers: To accept this application, review their application or assign @big14way to this issue.

[dannyy2000]

@dannyy2000 has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

I’d like to take on this issue because a robust audit trail and event-sourcing foundation is critical for any system that needs verifiable history, forensic traceability, and deterministic state reconstruction—especially for document lifecycles.

This library is more than logging; it becomes a core infrastructure primitive. My plan is to implement a clean event-sourcing model with an append-only log as the source of truth, explicit versioned event schemas, and deterministic replay to rebuild document state at any point in time. I’ll prioritize immutability guarantees and correctness first, then layer in performance optimizations like snapshots and compression for older events.

On the engineering side, I’ll design the storage and concurrency model to safely handle parallel writers (using locking or append coordination), while keeping reads fast and predictable. Serialization will be abstracted to support both JSON (human/debug friendly) and Protobuf (compact, efficient), and snapshots will be generated incrementally to reduce replay cost for large histories.

Beyond the core Rust library, I’ll ensure the system is practically usable:

a CLI tool for inspecting and replaying events,

Node.js FFI bindings for integration with existing services,

and clear documentation with examples showing how to record events, replay state, and query history.

The end goal is a trustworthy, extensible audit layer that can be reused across the platform—one that makes state changes explainable, debuggable, and provable over time.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @dannyy2000 to this issue.