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Changelog

All notable changes to aOa are documented here.

v2.1.0 — First Open-Source Release

The Go rewrite of aOa, delivered as a single binary. No Docker, no Redis, no Python.

Highlights

  • Single binary distribution — one aoa binary with everything compiled in
  • 28 languages with tree-sitter structural parsing, 57 total with tokenization
  • 134 semantic domains embedded via go:embed — no AI calls for classification
  • GNU grep parity — 22 of 28 flags, drop-in replacement for AI agents
  • npm distribution — npm install -g @mvpscale/aoa with platform-specific binaries
  • Zero network — no outbound connections, no telemetry, no phone-home
  • 4 platform binaries — linux/amd64, linux/arm64, darwin/amd64, darwin/arm64

Performance vs Python aOa

Metric Python aOa aOa (Go) Improvement
Search latency 8-15ms <0.5ms 16-30x faster
Autotune 250-600ms ~2.5us 100,000x faster
Startup 3-8s <200ms 15-40x faster
Memory ~390MB <50MB 8x reduction
Install Docker + docker-compose Single binary Zero dependencies
Infrastructure Redis + Python services Embedded bbolt Zero services

What's Included

  • O(1) indexed search with inverted token map
  • Self-learning system: observe, autotune (21-step), competitive displacement
  • Session log tailing — learns from Claude Code sessions without hooks
  • Hexagonal architecture — domain logic is dependency-free
  • Unix socket daemon with JSON protocol
  • HTTP dashboard (localhost-only, auto-refreshing)
  • Status line generation with 25 configurable segments
  • File system watcher (recursive, debounced, filtered)
  • Aho-Corasick multi-pattern matching
  • Comprehensive test suite (631 tests)

v0.1.x — Development Releases

Development releases during the Go rewrite. These were internal milestones, not public releases.

v0.1.10

  • Auto-configure status line during aoa init with 25 configurable segments

v0.1.9

  • Gitignore-aware indexing, generated file detection, rule quality fixes
  • Reduced recon findings 92% (49,838 to 4,149)

v0.1.8

  • Minimum method score for findings in recon handler
  • Severity mapping and signal-based suppression

v0.1.7

  • Weekly grammar report generation

v0.1.6

  • Grammar validation CI workflow
  • 28-language tree-sitter integration

v0.1.5

  • npm publishing pipeline with platform-specific packages
  • Release workflow with 4-platform binary builds

v0.1.4

  • Session Prism: raw JSONL to canonical event decomposition
  • Claude Code adapter for session log parsing

v0.1.3

  • Learner autotune with behavioral parity to Python
  • Competitive displacement and bigram extraction

v0.1.2

  • Search engine: O(1) token lookup, OR/AND/regex modes
  • Domain enrichment via Atlas (134 domains, 15 JSON files)

v0.1.0

  • Initial project structure
  • Hexagonal architecture foundation
  • bbolt persistence layer