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docs: consolidate learning_ai_smart_auth references into learning_ai_auth_app

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The smart_auth docs-only repo has been merged into learning_ai_auth_app.
Updates all cross-repo references:

- adoption/learning_ai_smart_auth.md merged into adoption/learning_ai_auth_app.md
- WORKSPACE_INVENTORY: combined row (now 13 active repos, was 14)
- CODING_AGENT_AUTOMATION_PLAYBOOK: combined row, dropped from for-loop
- GITEA_LOCAL_CI: removed from no-CI list
- ECOSYSTEM_APPROVALS_AND_TRUST_MODEL: ref input consolidated
- ECOSYSTEM_CROSS_POLLINATION_OPPORTUNITIES: capability map + per-repo section consolidated
- repos.txt, run-code-review.md, refresh-chat-history.md, update-agent-docs.sh: drop smart_auth
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saravanakumardb1 2026-05-24 14:31:38 -07:00
parent 59756ea5d0
commit 3fc0058d06
12 changed files with 59 additions and 103 deletions
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3
.windsurf/workflows/refresh-chat-history.md
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@ -21,8 +21,7 @@ Auto-discovers new repos, updates symlinks, and re-copies docs + workflows.
| `learning_ai_notes` | NoteLett | ✅ | — |
| `learning_ai_flowmonk` | FlowMonk | ✅ | — |
| `learning_ai_trails` | ActionTrail | ✅ | — |
| `learning_ai_smart_auth` | SmartAuth | ✅ | — |
| `learning_ai_auth_app` | ByteLyst Auth | ✅ | — |
| `learning_ai_auth_app` | ByteLyst SmartAuth | ✅ | — |
| `learning_ai_productivity_web` | Productivity Tools | ✅ | — |
## Steps

1
.windsurf/workflows/repos.txt
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@ -22,7 +22,6 @@ learning_ai_local_llms
learning_ai_talk2obsidian
# --- Auth & identity ---
learning_ai_smart_auth
learning_ai_auth_app
# --- Web & misc ---

3
.windsurf/workflows/run-code-review.md
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@ -46,8 +46,7 @@ All code across the ByteLyst workspace repos:
- learning_ai_peakpulse (PeakPulse)
- learning_ai_notes (NoteLett)
- learning_ai_trails (ActionTrail)
- learning_ai_smart_auth (SmartAuth)
- learning_ai_auth_app (ByteLyst Auth)
- learning_ai_auth_app (ByteLyst SmartAuth — companion app + PRD/roadmap)
- learning_ai_productivity_web (Productivity Tools)
## Domain Context

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docs/WORKSPACE_INVENTORY.md
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@ -10,7 +10,7 @@
## 1. Active Workspace Repositories
| Repository | Product / Role | Primary Stack | Current Scope |
| ----------------------------------- | ------------------ | ------------------------------------------------------- | -------------------------------------------------------------------- |
| ----------------------------------- | ------------------ | ---------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| `learning_ai_common_plat` | Shared platform | TypeScript, Fastify, Next.js, Swift, Kotlin | 58 shared packages, 4 services, 3 dashboards, MCP/A2A orchestration |
| `learning_voice_ai_agent` | LysnrAI | Python 3.12, Fastify, Next.js, Swift, Kotlin | Desktop app, product backend, user dashboard, mobile apps |
| `learning_multimodal_memory_agents` | MindLyst | Kotlin Multiplatform, SwiftUI, Jetpack Compose, Next.js | Shared KMP core, iOS, Android, web dashboard, product backend |
@ -21,8 +21,7 @@
| `learning_ai_notes` | NoteLett | Fastify, Next.js, React Native (Expo) | Structured notes platform across backend, web, and mobile |
| `learning_ai_flowmonk` | FlowMonk | Fastify, Next.js, React Native (Expo) | Agent-first planning platform across backend, web, and mobile |
| `learning_ai_trails` | ActionTrail | Fastify, Next.js | AI activity oversight: actions, alerts, approvals, SDK |
| `learning_ai_smart_auth` | SmartAuth | Docs + extends platform-service | Unified auth & identity design (OneAuth, OAuth, MFA, Passkeys) |
| `learning_ai_auth_app` | ByteLyst Auth App | SwiftUI, Jetpack Compose | Standalone auth companion app (iOS, Android, watchOS, widgets) |
| `learning_ai_auth_app` | ByteLyst SmartAuth | SwiftUI, Jetpack Compose + docs (extends platform-service) | Unified auth & identity design (OneAuth, OAuth, MFA, Passkeys) + standalone auth companion app (iOS, Android, watchOS, widgets) |
| `learning_ai_productivity_web` | Productivity Tools | Next.js | Internal productivity web tools |
| `learning_ai_local_memory_gpt` | LocalMemoryGPT | Fastify 5, Next.js 16, SQLite, Ollama | Local-first AI chat with persistent memory, RAG, multi-model compare |
@ -137,10 +136,10 @@ _(All under the `@bytelyst/` scope — consumed via `file:` or `workspace:_` ref
## 7. Notes
- This document reflects the currently active 14-repo workspace (plus `temp_uxlab` which is empty).
- This document reflects the currently active 13-repo workspace (plus `temp_uxlab` which is empty). (May 2026: `learning_ai_smart_auth` merged into `learning_ai_auth_app`.)
- Product-specific backends now live in their product repositories, while `learning_ai_common_plat` remains product-agnostic.
- `mcp-server` and `ux-lab` are active capability surfaces.
- `learning_ai_local_memory_gpt` has been rebuilt as Fastify 5 + Next.js 16 + SQLite/Ollama (no longer Express/React).
- `learning_ai_productivity_web` is an internal tools site, not a consumer of platform-service.
- `learning_ai_smart_auth` is a docs-only repo (PRD, roadmap); implementation lives in platform-service auth module.
- `learning_ai_auth_app` (SmartAuth) owns the PRD + roadmap (in `docs/`) plus the standalone authenticator app; the backend implementation of SmartAuth features lives in the platform-service auth module. (May 2026: absorbed the former `learning_ai_smart_auth` docs-only repo.)
- `@bytelyst/field-encrypt` is integrated into 5 product backends (LysnrAI, JarvisJr, NoteLett, NomGap, ActionTrail).

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docs/devops/CODING_AGENT_AUTOMATION_PLAYBOOK.md
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@ -23,9 +23,8 @@
| 9 | `learning_ai_notes` | NoteLett | ✅ | web/ | Expo | 4016 |
| 10 | `learning_ai_trails` | ActionTrail | ✅ | web/ | — | 4018 |
| 11 | `learning_ai_local_memory_gpt` | LocalMemGPT | ✅ | web/ | — | 4019 |
| 12 | `learning_ai_auth_app` | ByteLyst Auth | — | — | ios + android | — |
| 13 | `learning_ai_smart_auth` | SmartAuth | — (extends platform-service) | — | — | — |
| 14 | `learning_ai_productivity_web` | Productivity Tools | — | src/ | — | — |
| 12 | `learning_ai_auth_app` | ByteLyst SmartAuth | — (extends platform-service) | — | ios + android | — |
| 13 | `learning_ai_productivity_web` | Productivity Tools | — | src/ | — | — |
---
@ -36,10 +35,10 @@
### 1a. Dirty / Uncommitted Changes Check
Scan all 14 repos for uncommitted or untracked changes. Flag anything that should be committed or stashed.
Scan all 13 repos for uncommitted or untracked changes. Flag anything that should be committed or stashed.
```bash
for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_jarvis_jr learning_ai_fastgap learning_ai_peakpulse learning_ai_flowmonk learning_ai_notes learning_ai_trails learning_ai_local_memory_gpt learning_ai_auth_app learning_ai_smart_auth learning_ai_productivity_web; do
for repo in learning_ai_common_plat learning_voice_ai_agent learning_multimodal_memory_agents learning_ai_clock learning_ai_jarvis_jr learning_ai_fastgap learning_ai_peakpulse learning_ai_flowmonk learning_ai_notes learning_ai_trails learning_ai_local_memory_gpt learning_ai_auth_app learning_ai_productivity_web; do
echo "=== $repo ==="
cd /Users/sd9235/code/mygh/$repo
git status --short

4
docs/devops/GITEA_LOCAL_CI.md
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@ -87,9 +87,9 @@ All 14 repos have a `gitea` remote → `http://localhost:3300/bytelyst/<repo>.gi
| `learning_voice_ai_agent` | Backend + Python + User Dashboard |
| `learning_multimodal_memory_agents` | Backend + Web + KMP |
3 repos without CI workflows (docs/config only):
2 repos without CI workflows (docs/config only):
- `learning_ai_auth_app`, `learning_ai_smart_auth`, `learning_ai_productivity_web`
- `learning_ai_auth_app` (SmartAuth — companion app + PRD/roadmap), `learning_ai_productivity_web`
GitHub Actions disabled via `.github/workflows/ci.yml.disabled` in all repos.

2
docs/ecosystem/ECOSYSTEM_APPROVALS_AND_TRUST_MODEL.md
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@ -2,7 +2,7 @@
> **Status:** Hardened baseline
> **Owner:** `learning_ai_common_plat`
> **Reference inputs:** `learning_ai_smart_auth`, `learning_ai_auth_app`, `learning_ai_trails`, `learning_ai_mac_tooling`, `claw-cowork`
> **Reference inputs:** `learning_ai_auth_app` (SmartAuth), `learning_ai_trails`, `learning_ai_mac_tooling`, `claw-cowork`
> **Purpose:** Define when the ecosystem should ask for approval, when it should not, and how trust posture affects automation.
---

22
docs/ecosystem/ECOSYSTEM_CROSS_POLLINATION_OPPORTUNITIES.md
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@ -34,8 +34,7 @@ This review looked at the top-level README, `AGENTS.md`, `shared/product.json`,
- `learning_ai_trails`
- `learning_ai_local_memory_gpt`
- `learning_ai_local_llms`
- `learning_ai_smart_auth`
- `learning_ai_auth_app`
- `learning_ai_auth_app` (SmartAuth — companion app + PRD/roadmap)
- `learning_ai_efforise`
- `learning_ai_productivity_web`
- `learning_ai_mac_tooling`
@ -62,8 +61,7 @@ This is not a line-by-line code audit. It is a systematic ecosystem opportunity
| `learning_ai_trails` | AI activity oversight, approvals, rewind, SDK | Agent audit, review, approval, replay, and observability primitives |
| `learning_ai_local_memory_gpt` | Local-first AI memory, RAG, multi-model compare | On-device memory, local vector/data patterns, privacy-first AI workflows |
| `learning_ai_local_llms` | Local model lab, hardware guidance, dashboard, eval workflows | Model selection, local inference guidance, hybrid-cloud AI fallback strategy |
| `learning_ai_smart_auth` | Identity platform spec | Canonical identity, passkey, MFA, OAuth, and org auth roadmap |
| `learning_ai_auth_app` | Standalone MFA/TOTP/device trust mobile app | Cross-product auth companion and secure approval UX |
| `learning_ai_auth_app` | SmartAuth identity platform spec + standalone MFA/TOTP/device trust mobile app | Canonical identity, passkey, MFA, OAuth, org auth roadmap + cross-product auth companion and secure approval UX |
| `learning_ai_efforise` | Identity-based habit tracking | Habit engine, nudges, streaks, effort scoring, lightweight wellness loops |
| `learning_ai_productivity_web` | Internal Next.js utilities shell | Fast internal operations tools, admin prototypes, workflow utilities |
| `learning_ai_mac_tooling` | Mac security audit, exfiltration detection, menu bar app | Device trust, data loss prevention, endpoint telemetry, secure desktop posture |
@ -78,8 +76,7 @@ This is not a line-by-line code audit. It is a systematic ecosystem opportunity
The workspace has unusually strong raw ingredients for a serious ecosystem-grade trust layer:
- `learning_ai_smart_auth` defines the auth direction
- `learning_ai_auth_app` provides the approval/MFA companion surface
- `learning_ai_auth_app` defines the auth direction (SmartAuth PRD/roadmap) and provides the approval/MFA companion surface
- `learning_ai_common_plat` already hosts product-agnostic auth
- `learning_ai_mac_tooling` can contribute device trust and exfiltration signals
- `learning_ai_trails` can contribute agent approval and action replay
@ -361,13 +358,10 @@ These journeys should be used as the main acceptance test for cross-product arch
- Publish a machine-readable capability matrix for models and hardware.
- Feed recommendation outputs into Local Memory GPT, Cowork, and any offline-capable products.
### `learning_ai_smart_auth`
### `learning_ai_auth_app` (SmartAuth)
- Move from spec-only posture toward a concrete reference architecture doc that maps directly to platform-service modules, auth-app features, and device trust integrations.
### `learning_ai_auth_app`
- Expand beyond login MFA into ecosystem action approval, budget escalation approval, and org admin confirmation.
- Move the SmartAuth PRD/roadmap (now living in `docs/` of this repo) from spec-only posture toward a concrete reference architecture doc that maps directly to platform-service modules and device trust integrations.
- Expand the companion app beyond login MFA into ecosystem action approval, budget escalation approval, and org admin confirmation.
- Add explicit support for approving agent runs and sensitive exports.
### `learning_ai_efforise`
@ -435,12 +429,12 @@ These journeys should be used as the main acceptance test for cross-product arch
| ----------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ------ | ------ | ----------------------------------------------------------------------------------------------------- |
| Shared artifact schema | `learning_ai_common_plat` | `learning_voice_ai_agent`, `learning_ai_notes`, `learning_multimodal_memory_agents`, `learning_ai_flowmonk`, `oss/learning_ai_claw-cowork` | High | Medium | It unblocks memory, search, provenance, timelines, and agent output reuse |
| Shared event taxonomy + action log | `learning_ai_common_plat` + `learning_ai_trails` | `oss/learning_ai_claw-cowork`, `learning_ai_flowmonk`, `learning_ai_jarvis_jr`, `learning_voice_ai_agent` | High | Medium | It turns fragmented agent/product telemetry into one reviewable substrate |
| Unified approvals and trust model | `learning_ai_smart_auth` + `learning_ai_auth_app` + `learning_ai_trails` | `oss/learning_ai_claw-cowork`, `learning_ai_mac_tooling`, `learning_ai_common_plat` | High | Medium | It creates one policy model for login, step-up auth, and agent approvals |
| Unified approvals and trust model | `learning_ai_auth_app` (SmartAuth) + `learning_ai_trails` | `oss/learning_ai_claw-cowork`, `learning_ai_mac_tooling`, `learning_ai_common_plat` | High | Medium | It creates one policy model for login, step-up auth, and agent approvals |
| Shared agent runtime contract | `learning_ai_common_plat` | `oss/learning_ai_claw-code-oss`, `oss/learning_ai_claw-cowork`, `learning_ai_flowmonk`, `learning_ai_jarvis_jr`, `learning_ai_trails` | High | Medium | It prevents each agent product from reinventing session state, todos, approvals, and resume flows |
| Transcript -> note -> memory pipeline | `learning_voice_ai_agent` + `learning_ai_notes` + `learning_multimodal_memory_agents` | `learning_ai_common_plat` | High | Medium | It creates immediate user-visible value across three flagship products |
| Plan -> routine -> habit handoff | `learning_ai_flowmonk` + `learning_ai_clock` + `learning_ai_efforise` | `learning_ai_common_plat` | High | Medium | It turns planning into follow-through instead of isolated planning data |
| Cowork -> Trail -> Notes -> Memory flow | `oss/learning_ai_claw-cowork` + `learning_ai_trails` + `learning_ai_notes` + `learning_multimodal_memory_agents` | `learning_ai_common_plat` | High | High | It creates a differentiated audited-agent workflow that few ecosystems have |
| Device trust ingestion | `learning_ai_mac_tooling` + `learning_ai_common_plat` | `learning_ai_smart_auth`, `learning_ai_auth_app`, `oss/learning_ai_claw-cowork` | Medium | Medium | It upgrades desktop/agent safety with existing assets already in the workspace |
| Device trust ingestion | `learning_ai_mac_tooling` + `learning_ai_common_plat` | `learning_ai_auth_app` (SmartAuth), `oss/learning_ai_claw-cowork` | Medium | Medium | It upgrades desktop/agent safety with existing assets already in the workspace |
| Shared browser and desktop dispatch layer | `learning_ai_common_plat` + `oss/learning_ai_claw-cowork` | `learning_ai_notes`, `learning_ai_flowmonk`, `learning_multimodal_memory_agents`, `learning_ai_trails` | High | Medium | It lowers capture friction and creates one route from browser or mobile into agent-assisted workflows |
| Shared marketplace inventory model | `learning_ai_common_plat` | `learning_ai_jarvis_jr`, `oss/learning_ai_claw-cowork`, `learning_ai_notes`, `learning_ai_flowmonk`, `learning_ai_clock` | High | High | It can unify monetization and reusable asset distribution |
| Shared personal timeline | `learning_ai_common_plat` | Almost all product repos | High | High | It becomes the ecosystem shell once events and artifacts are standardized |

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docs/ecosystem/adoption/README.md
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@ -22,8 +22,7 @@ Current docs:
- [`learning_ai_efforise.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_efforise.md)
- [`learning_ai_trails.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_trails.md)
- [`learning_ai_claw-cowork.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_claw-cowork.md)
- [`learning_ai_smart_auth.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_smart_auth.md)
- [`learning_ai_auth_app.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_auth_app.md)
- [`learning_ai_auth_app.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_auth_app.md) (SmartAuth — merged from learning_ai_smart_auth)
- [`learning_ai_mac_tooling.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_mac_tooling.md)
- [`learning_ai_jarvis_jr.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/adoption/learning_ai_jarvis_jr.md)

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@ -1,16 +1,19 @@
# Adoption: learning_ai_auth_app
# Adoption: learning_ai_auth_app (SmartAuth)
> **Status:** Planned hardening adopter
> **Owner:** `learning_ai_auth_app`
> **Ecosystem focus:** approval capture, decision confirmation, and trust-aware action authorization
> **Owner:** `learning_ai_auth_app` (formerly split across `learning_ai_smart_auth` + `learning_ai_auth_app` — merged May 2026)
> **Ecosystem focus:** identity trust signals + approval capture + decision confirmation + trust-aware action authorization
---
## Goals
- expose identity trust state through shared ecosystem trust semantics
- provide reusable step-up decisions to runtime consumers and other products
- provide one approval UX for agent, auth, and destructive-action decisions
- consume canonical approval payloads rather than product-specific prompts
- preserve approval lineage for ActionTrail and runtime replay
- avoid product-local approval policy forks
## Expected Contract Touchpoints
@ -20,6 +23,15 @@
## Planned Adoption Scope
### Identity & Trust (SmartAuth backend in platform-service)
- map SmartAuth identity posture into canonical trust levels
- emit trust-related events without leaking provider-specific auth details
- provide reusable approval prerequisites to Cowork, FlowMonk, and future agent products
- support approval reuse decisions based on identity trust state
### Approval UX (Auth companion app)
- consume canonical approval records and shared approval prompt metadata
- support session-scoped and run-scoped approval reuse windows
- render why an approval is required using trust and risk inputs
@ -27,6 +39,9 @@
## Verification Checklist
- [ ] identity trust levels map cleanly into the shared taxonomy
- [ ] step-up-required cases are emitted or exposed consistently
- [ ] approval consumers can evaluate SmartAuth trust state without provider-specific logic
- [ ] approval payload renders without product-specific branching
- [ ] approval decisions map into canonical approval events
- [ ] approval reuse, expiry, and denial states are visible to downstream consumers
@ -34,9 +49,12 @@
## Risks
- auth-provider-specific signals may not map cleanly into one canonical trust model
- over-sharing auth internals would create security and privacy risk
- approval UX may become too generic unless action-specific context is preserved
- stale approval decisions would be dangerous if expiry and reuse rules are weak
## Commits
- `065c025` added this adoption plan
- `065c025` added this adoption plan (originally split across smart_auth + auth_app)
- May 2026: merged the two adopter docs after consolidating `learning_ai_smart_auth` into `learning_ai_auth_app`

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@ -1,42 +0,0 @@
# Adoption: learning_ai_smart_auth
> **Status:** Planned hardening adopter
> **Owner:** `learning_ai_smart_auth`
> **Ecosystem focus:** identity trust signals for approvals, runtime gating, and step-up policy
---
## Goals
- expose identity trust state through shared ecosystem trust semantics
- provide reusable step-up decisions to Auth App and runtime consumers
- avoid product-local approval policy forks
## Expected Contract Touchpoints
- `ECOSYSTEM_APPROVALS_AND_TRUST_MODEL.md`
- `ECOSYSTEM_EVENT_TAXONOMY.md`
- `ECOSYSTEM_AGENT_RUNTIME_CONTRACT.md`
## Planned Adoption Scope
- map SmartAuth identity posture into canonical trust levels
- emit trust-related events without leaking provider-specific auth details
- provide reusable approval prerequisites to Cowork, FlowMonk, and future agent products
- support approval reuse decisions based on identity trust state
## Verification Checklist
- [ ] identity trust levels map cleanly into the shared taxonomy
- [ ] step-up-required cases are emitted or exposed consistently
- [ ] approval consumers can evaluate SmartAuth trust state without provider-specific logic
- [ ] tracker updated with implementation commit links
## Risks
- auth-provider-specific signals may not map cleanly into one canonical trust model
- over-sharing auth internals would create security and privacy risk
## Commits
- `065c025` added this adoption plan

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scripts/update-agent-docs.sh
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@ -154,17 +154,9 @@ set_meta() {
LINT2="cd backend && npm run typecheck 2>&1 | tail -10"
LINT3="cd web && npm run typecheck 2>&1 | tail -10"
;;
learning_ai_smart_auth)
NAME="ByteLyst SmartAuth"; ID="smartauth"
STACK="Design/docs repo extending platform-service auth, shared auth packages, and native SDKs"
BUILD_VFY="cd ../learning_ai_common_plat && pnpm build && pnpm test && pnpm typecheck"
LINT1="cd ../learning_ai_common_plat && pnpm build 2>&1 | tail -10"
LINT2="cd ../learning_ai_common_plat && pnpm test 2>&1 | tail -10"
LINT3="cd ../learning_ai_common_plat && pnpm typecheck 2>&1 | tail -10"
;;
learning_ai_auth_app)
NAME="ByteLyst Auth"; ID="smartauth"
STACK="SwiftUI (iOS/Watch) + Jetpack Compose (Android) — no separate backend"
NAME="ByteLyst SmartAuth"; ID="smartauth"
STACK="SwiftUI (iOS/Watch) + Jetpack Compose (Android) companion app + PRD/roadmap for auth features extending platform-service in common-plat"
BUILD_VFY="cd ios && xcodegen generate && xcodebuild -scheme ByteLystAuth -sdk iphonesimulator build && cd ../android && ./gradlew :app:assembleDebug"
LINT1="cd ios && xcodegen generate >/dev/null 2>&1 && xcodebuild -scheme ByteLystAuth -sdk iphonesimulator build 2>&1 | tail -20"
LINT2="cd android && ./gradlew :app:assembleDebug 2>&1 | tail -20"