From fff5d993ba9c0ef6b2a05ab0441bfc7bc5190654 Mon Sep 17 00:00:00 2001 From: Saravana Kumar Date: Fri, 29 May 2026 21:26:23 +0000 Subject: [PATCH] docs: add ByteLyst AIOS adoption roadmap --- .../AIOS_ADOPTION_ROADMAP_2026-05-29.md | 881 ++++++++++++++++++ docs/ecosystem/README.md | 1 + 2 files changed, 882 insertions(+) create mode 100644 docs/ecosystem/AIOS_ADOPTION_ROADMAP_2026-05-29.md diff --git a/docs/ecosystem/AIOS_ADOPTION_ROADMAP_2026-05-29.md b/docs/ecosystem/AIOS_ADOPTION_ROADMAP_2026-05-29.md new file mode 100644 index 00000000..9480be45 --- /dev/null +++ b/docs/ecosystem/AIOS_ADOPTION_ROADMAP_2026-05-29.md @@ -0,0 +1,881 @@ +# ByteLyst AI Operating System Adoption Roadmap + +> **Status:** Proposed adoption roadmap +> **Owner:** ByteLyst / Saravana +> **Created:** 2026-05-29 +> **Source prompt:** Review Nate Herk's “I Turned Claude Opus 4.8 Into My Entire AI Operating System” and recommend how ByteLyst should adopt the pattern. +> **Primary target repo:** `learning_ai_common_plat` +> **Related docs:** [`docs/ecosystem/`](./), [`docs/MCP+A2A/`](../MCP+A2A/README.md), [`docs/ecosystem/ECOSYSTEM_AGENT_OPERATING_MODEL.md`](./ECOSYSTEM_AGENT_OPERATING_MODEL.md) + +--- + +## Executive Recommendation + +ByteLyst should adopt the **AI Operating System (AIOS)** pattern, but not as a wholesale clone of a Claude Code starter kit. ByteLyst already has stronger primitives than the starter kit assumes: Hermes persistent memory, skills, cron jobs, Telegram delivery, a common platform repo, MCP/A2A docs, platform services, telemetry, kill-switch packages, and cross-repo delegation workflows. + +The recommended move is to convert ByteLyst's existing agent ecosystem into a disciplined **ByteLyst AIOS operating layer** using four layers: + +1. **Context** — durable company, product, decision, repo, and operator knowledge. +2. **Connections** — live read/write access to the tools and data that run ByteLyst. +3. **Capabilities** — reusable skills, scripts, MCP tools, agents, and playbooks that produce business artifacts. +4. **Cadence** — scheduled or event-driven routines that run without being prompted, with Telegram review and approval gates. + +This aligns directly with ByteLyst's current direction: common platform, agent runtime contract, ecosystem adoption docs, delegation packs, persistent Hermes operations, Gitea/GitHub workflows, and product-agnostic services. + +**Bottom line:** treat Hermes + `learning_ai_common_plat` + ByteLyst repos as the operating system, not just as tooling. Claude Code/AIS-OS is useful as a reference pattern, but the ByteLyst implementation should be **Hermes-native, repo-backed, audit-friendly, and production-safe**. + +--- + +## Research Notes And Grounding + +### Video / External Source + +- YouTube video: +- oEmbed title: **“I Turned Claude Opus 4.8 Into My Entire AI Operating System”** +- Author: **Nate Herk | AI Automation** +- Related public starter kit: +- Related public post summaries mention: + - Four C's: **Context, Connections, Capabilities, Cadence** + - Three M's: **Mindset, Method, Machine** + - “Bike Method” for safely increasing autonomy + - Claude Code as the default working surface + - Files, skills, and recurring rituals as the backbone of the system + +### Transcript Retrieval Status + +The YouTube transcript could not be fetched from this VM because YouTube blocked the request as bot/cloud traffic. Fallback attempts performed: + +1. `youtube-transcript-api` via the local `youtube-content` helper. +2. YouTube oEmbed metadata extraction. +3. `yt-dlp` subtitle extraction. +4. Web search and extraction of related public materials. +5. Direct clone and inspection of the public `nateherkai/AIS-OS` repository. + +This roadmap is therefore grounded in accessible metadata, public post summaries, the related MIT-licensed starter repository, and ByteLyst repo inspection. It avoids claiming direct transcript quotes from the unavailable video. + +--- + +## What The AIOS Pattern Is + +An AIOS is not “one big agent.” It is a managed operating layer that combines persistent context, tool access, reusable capabilities, and recurring execution. + +The practical litmus test from the AIS-OS starter kit is: + +> While you are not at your desk, the AIOS observes one real-world event and produces an output that is faster and more accurate than what you would produce yourself. + +For ByteLyst, translate that into: + +> While Saravana is offline, ByteLyst AIOS detects a meaningful operational event, gathers the right repo/product/system context, produces a correct artifact or recommendation, and routes it through the right Telegram / git / approval path with audit evidence. + +Examples: + +- A Gitea runner fails a deployment and Hermes produces a root-cause brief plus suggested patch scope. +- A nightly platform health check detects a regression and opens or updates a tracker item. +- A weekly ecosystem audit summarizes cross-repo drift, stale docs, broken assumptions, and top leverage tasks. +- A new app repo is created and the AIOS generates adoption docs, platform integration checklist, telemetry plan, and Docker/Gitea setup tasks. + +--- + +## Why ByteLyst Should Adopt It + +### 1. ByteLyst Is A Single-Developer Company + +A single developer needs leverage more than process theater. The AIOS pattern is valuable because it compresses roles: + +- platform architect +- devops operator +- QA reviewer +- documentation maintainer +- product analyst +- support triage assistant +- release coordinator +- security reviewer + +The goal is not to remove Saravana from decisions. The goal is to make every decision arrive with context, options, evidence, and a recommended next action. + +### 2. Existing ByteLyst Assets Already Map To AIOS Layers + +ByteLyst already has much of the infrastructure: + +- Hermes skills: reusable procedure layer. +- Hermes cron jobs: cadence layer. +- Telegram integration: operator interface and approval channel. +- `learning_ai_common_plat`: common contracts, packages, SDKs, services, platform-service, mcp-server, monitoring. +- Ecosystem docs: shared schemas, event taxonomy, runtime contract, adoption plans. +- Gitea/GitHub remotes: execution and audit trail. +- Docker/Caddy/systemd: production runtime surface. +- Persistent memories and session search: recall surface. + +Adoption should therefore focus on **normalizing and governing what exists**, not rebuilding from zero. + +### 3. It Converts One-Off Agent Work Into A Compounding System + +Current agent work can become fragmented: useful fixes, docs, and scripts exist, but value depends on remembering where they are and when to run them. AIOS adoption makes them compounding: + +- Every repeated task becomes a skill, script, or checklist. +- Every operational decision lands in a decisions log or ecosystem tracker. +- Every integration is registered in a connections registry. +- Every autonomous routine has an owner, trigger, output, risk level, and kill switch. + +### 4. It Creates A Productizable Pattern + +ByteLyst can later turn this into client-facing or product-facing capability: + +- “AIOS for solo operators” +- managed AI operations layer for small businesses +- app-specific AI copilots built on ByteLyst platform services +- marketplace-ready agent capabilities using existing MCP/A2A docs + +But first, dogfood internally. + +--- + +## What Not To Do + +Do **not** adopt the hype version of AIOS: + +- Do not give agents broad write access before read-only audit value is proven. +- Do not build one giant autonomous agent. +- Do not automate waste. Eliminate first. +- Do not hide behavior in opaque prompts with no audit trail. +- Do not store secrets in repo context files. +- Do not make Claude Code the only surface. ByteLyst already uses Hermes, Telegram, cron, Gitea, and platform services. +- Do not expose the Hermes dashboard publicly. +- Do not ship L4 autonomy for production actions until lower levels have produced clean evidence. + +The adoption principle should be: **boring, observable, reversible automation**. + +--- + +## Framework Mapping: AIS-OS → ByteLyst AIOS + +### Four C's Mapping + +| AIS-OS Layer | ByteLyst Interpretation | Current Assets | Gaps To Close | +| ------------ | ---------------------------------------------------------------------- | -------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | +| Context | Business, product, repo, ops, decisions, preferences, incident history | Hermes memory, session search, ecosystem docs, adoption docs, repo READMEs | Consolidated AIOS context pack, decisions log discipline, source-of-truth map | +| Connections | Tools/data Hermes can read/write safely | Git/Gitea/GitHub, filesystem, Google Drive, Telegram, services, Docker, systemd, Caddy | Formal connection registry, auth status, read/write scope, freshness checks | +| Capabilities | Skills, scripts, MCP tools, workflows, agents | 100+ Hermes skills, common platform packages, MCP server docs, devops scripts | Capability catalog, KPI mapping, owner/risk/autonomy metadata | +| Cadence | Scheduled/event-driven routines | Hermes cron, Telegram updates, backup cron, monitoring | Routine registry, SLAs, output contracts, escalation rules, kill switches | + +### Three M's Mapping + +| Three M | ByteLyst Adoption | Practical Rule | +| ------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------- | +| Mindset | Default-shift every repeated task into an AIOS candidate | Ask: “To what extent can Hermes handle this next time?” | +| Method | Find constraint → eliminate/automate/delegate → map process → autonomy level → KPI | No new automation without trigger, data, decision point, destination, KPI | +| Machine | Lego blocks, validation chain, Bike Method, intern rule, kill switch | Small scripts/skills first, read-only first, phase autonomy upward only with evidence | + +--- + +## Recommended ByteLyst AIOS Architecture + +```text +ByteLyst AIOS +├── Operator Surface +│ ├── Telegram DM updates and approvals +│ ├── Hermes chat/session tools +│ └── Git commits/PRs/issues for durable work +├── Context Layer +│ ├── Hermes user profile + durable memories +│ ├── session_search for historical decisions +│ ├── learning_ai_common_plat/docs/ecosystem +│ ├── adoption docs per product repo +│ └── decisions / incident / run logs +├── Connections Layer +│ ├── GitHub + local Gitea +│ ├── Google Drive folder hemes_files +│ ├── Telegram gateway +│ ├── Docker/systemd/Caddy +│ ├── platform-service / mcp-server / extraction-service +│ └── future: email, calendar, Linear/Notion, finance, customer data +├── Capabilities Layer +│ ├── Hermes skills +│ ├── repo scripts +│ ├── MCP tools +│ ├── cron-backed workflows +│ ├── subagent delegation workflows +│ └── product-specific operational playbooks +└── Cadence Layer + ├── daily/weekly/monthly cron jobs + ├── event-driven webhook subscriptions + ├── CI/deploy/monitoring triggers + ├── Telegram escalation policies + └── kill-switch + pause/resume controls +``` + +--- + +## Proposed Repository Layout Additions + +Add a dedicated AIOS folder under the existing ecosystem docs: + +```text +docs/ecosystem/aios/ +├── README.md # AIOS overview and source-of-truth map +├── CONTEXT_PACK.md # ByteLyst business/product/operator context index +├── CONNECTIONS_REGISTRY.md # tool/data/API/system registry +├── CAPABILITY_CATALOG.md # skills/scripts/MCP/cron capabilities +├── CADENCE_REGISTRY.md # recurring routines and schedules +├── AUTONOMY_POLICY.md # L0-L4 policy, Bike Method, approval gates +├── AUDIT_SCORECARD.md # Four C's recurring audit template/results +├── DECISIONS_LOG.md # AIOS-specific decisions if not merged into tracker +└── ROADMAP.md # adoption execution tracker +``` + +Do not move all existing docs immediately. Start with index files that point to existing source-of-truth docs. Consolidate only after patterns stabilize. + +--- + +## Autonomy Policy For ByteLyst + +Use five levels: + +| Level | Name | Allowed Behavior | ByteLyst Default | +| ----- | ---------- | --------------------------------------------------------- | ----------------------------------------------------------------------- | +| L0 | Manual | AI only explains or documents | Rare, for high-risk operations | +| L1 | Suggested | AI recommends; Saravana executes | Default for new production changes | +| L2 | Drafted | AI drafts artifact/patch; human reviews before use | Default for docs, plans, issue drafts, config suggestions | +| L3 | Supervised | AI executes within scoped boundaries and reports evidence | Allowed for docs commits, read-only audits, safe repo tasks | +| L4 | Autonomous | AI executes end-to-end without per-run approval | Only for low-risk recurring routines with kill switch and clean history | + +### Initial L4 Candidates + +Only low-risk, reversible tasks should be L4 early: + +- sanitized backup sync status checks +- read-only repo/document freshness audits +- health summaries that do not mutate production +- weekly capability catalog drift report + +### L4 Explicitly Not Allowed Initially + +- production deploys +- secret rotation +- public DNS/Caddy exposure changes +- database migrations +- billing/payment actions +- user deletion or account changes +- emails/messages sent externally as Saravana +- force-pushes or destructive git operations + +--- + +## Bike Method Rollout For ByteLyst + +### Phase 1 — Training Wheels + +- Run manually from Hermes chat. +- Agent reads context and drafts outputs. +- Saravana or Hermes operator reviews every output. +- No scheduled mutation. + +Use for: + +- first AIOS audit +- first connection registry +- first capability catalog +- first weekly executive brief + +### Phase 2 — Guided + +- Cron or webhook triggers draft output. +- Output goes to Telegram for approval. +- Agent does not write to production systems without explicit approval. + +Use for: + +- weekly repo drift brief +- pending CI/deploy recommendations +- docs freshness queue +- daily “what needs attention” brief + +### Phase 3 — Watched + +- Agent performs safe scoped actions. +- Telegram receives summary and evidence. +- Failures escalate immediately. +- Periodic batch review checks quality. + +Use for: + +- docs-only commits on dedicated branches +- issue creation with labels +- PR status monitoring +- stale cron/job checks + +### Phase 4 — Hands-Off + +- Agent executes end-to-end. +- Metrics and logs prove quality. +- Kill switch exists. +- Scope remains narrow and reversible. + +Use only after 2-4 weeks of clean Phase 3 evidence. + +--- + +## Priority Capabilities To Build First + +### Capability 1: Weekly ByteLyst AIOS Audit + +**Why:** Establishes the baseline score and prevents the system from becoming messy. + +**Inputs:** + +- Hermes skills list +- Hermes cron list +- repo docs under `docs/ecosystem/` +- git status across active repos +- recent decisions / session search +- connection registry + +**Output:** + +- Four C's score: Context, Connections, Capabilities, Cadence +- top 3 gaps ranked by leverage +- one recommended action for the week +- Telegram summary +- committed audit report in `docs/ecosystem/aios/audits/` + +**Autonomy:** Start L2, move to L3 after two clean runs. + +**KPI:** Reduce unknown/stale operating assumptions; target a score above 80/100 by the end of Phase 2. + +--- + +### Capability 2: Connection Registry And Freshness Checker + +**Why:** Agents are only useful if they know what they can safely access. + +**Registry fields:** + +- connection name +- domain: git, docs, messaging, infra, cloud, finance, customer, calendar, email, product service +- mechanism: API, CLI, MCP, script, file, webhook +- auth location: never raw secret, only env/template reference +- read/write scope +- owner +- last verified timestamp +- verification command +- failure mode +- autonomy ceiling + +**Initial connections to include:** + +- Telegram home channel +- GitHub remotes +- local Gitea remotes +- Google Drive `hemes_files` +- Docker +- systemd +- Caddy +- Hermes cron +- Hermes skills +- `platform-service` +- `mcp-server` +- `extraction-service` +- FreeLLMAPI +- MarkItDown + +**Autonomy:** L1/L2 for registry edits, L3 for read-only freshness checks. + +**KPI:** 100% of production-affecting connections documented with verification commands. + +--- + +### Capability 3: Capability Catalog + +**Why:** ByteLyst already has many reusable skills and scripts, but they need a discoverable operating catalog. + +**Catalog fields:** + +- capability name +- trigger phrase or cron job +- input requirements +- output artifact +- repos/files touched +- verification command +- required secrets/connections +- autonomy level +- risk level +- owner +- kill switch +- last successful run + +**Initial catalog sections:** + +- Devops operations +- Git/Gitea/GitHub workflows +- Documentation and roadmap generation +- YouTube/content research +- Google Drive uploads +- Backup operations +- MCP/A2A orchestration +- Product adoption docs +- CI/deploy troubleshooting + +**Autonomy:** L2 for catalog creation; L3 for periodic stale-capability reports. + +**KPI:** Any repeated ByteLyst task can be found by name and reused without rediscovery. + +--- + +### Capability 4: Daily / Weekly Operator Brief + +**Why:** Reduces tab switching and makes Hermes the default operating surface. + +**Daily brief inputs:** + +- git dirty/ahead status for active repos +- failing services or health checks +- cron job failures +- high-priority reminders from previous sessions +- active roadmap docs +- Gitea/GitHub branches needing push/merge + +**Weekly brief inputs:** + +- completed commits by repo +- open blockers +- stale adoption docs +- top leverage automation candidate +- connection freshness +- capability catalog drift + +**Output:** Telegram message with action-first ordering. + +**Autonomy:** L2 initially. L3 once false positives are low. + +**KPI:** Fewer manual status checks; one place to decide what to do next. + +--- + +### Capability 5: Agent Work Intake And Routing + +**Why:** User already wants continuous agent execution with commits/pushes and progress updates. Standardize the intake. + +**Inputs:** user request, repo map, current git state, available skills, risk level. + +**Routing rules:** + +- Use Hermes directly for cross-repo architecture, production ops, security, and final integration. +- Use subagents for bounded research/review tasks. +- Use Claude Code/Codex/OpenCode only when a coding task is large enough to justify a separate agent runtime. +- Use cron jobs for durable repeated monitoring. +- Use docs/plans for complex roadmap-driven work. + +**Output:** task plan, execution boundaries, verification commands, progress update policy, commit strategy. + +**Autonomy:** L2/L3 depending on repo risk. + +**KPI:** Less ambiguity before coding; fewer half-finished agent runs. + +--- + +### Capability 6: Production-Safe Change Gate + +**Why:** ByteLyst runs real services on one VM. Agents need clear guardrails. + +**Gate checklist:** + +- Does this expose a private dashboard or service publicly? +- Does this touch secrets, auth, DNS, Caddy, Docker Compose, systemd, database, or billing? +- Is there a rollback command? +- Is there a health check? +- Is there a git diff and commit message? +- Is the target remote correct: GitHub vs local Gitea? +- Does the action need Telegram approval? + +**Autonomy:** L1 for high-risk, L2 for medium-risk, L3 for docs-only/safe actions. + +**KPI:** Zero unreviewed production-affecting changes. + +--- + +## Roadmap + +### Phase 0 — Baseline And Guardrails (1-2 days) + +**Goal:** Create the AIOS source-of-truth docs and audit baseline. + +Tasks: + +- Create `docs/ecosystem/aios/README.md`. +- Create `CONTEXT_PACK.md` as an index, not a secret dump. +- Create `CONNECTIONS_REGISTRY.md` with known connections and verification commands. +- Create `CAPABILITY_CATALOG.md` with current Hermes skills/scripts/cron categories. +- Create `AUTONOMY_POLICY.md` with L0-L4 rules and Bike Method rollout. +- Create `AUDIT_SCORECARD.md` with first Four C's score. +- Add links from `docs/ecosystem/README.md`. + +Exit criteria: + +- AIOS docs exist and link to current ecosystem docs. +- No secrets are committed. +- At least 10 core connections are documented. +- At least 20 capabilities or capability families are cataloged. + +--- + +### Phase 1 — Context Consolidation (3-5 days) + +**Goal:** Make fresh agent sessions understand ByteLyst without rediscovery. + +Tasks: + +- Build a ByteLyst context pack: + - company overview + - active repos + - production VM map + - product list + - platform architecture links + - deployment constraints + - user preferences and communication rules +- Normalize decisions logging: + - link ecosystem tracker, adoption docs, and AIOS decisions + - define what belongs in repo docs vs Hermes memory +- Add “source of truth hierarchy” for AIOS work. +- Document which facts must never be stored in memory or repo docs. + +Exit criteria: + +- New agent can answer “what does ByteLyst run and where?” from docs. +- New agent can identify safe vs high-risk actions. +- Decision logging location is unambiguous. + +--- + +### Phase 2 — Connections And Read-Only Observability (1 week) + +**Goal:** Make the AIOS see current system state reliably. + +Tasks: + +- Add verification commands for: + - git status across active repos + - Docker containers + - systemd services + - Caddy config check + - Hermes cron list + - Hermes skills list + - platform service health endpoints + - Gitea runner status +- Add read-only scripts where needed. +- Create a weekly connection freshness report. +- Start Telegram-delivered read-only status brief. + +Exit criteria: + +- AIOS can produce current operational state without manual paste. +- Broken/expired connections are surfaced as blockers. +- All read-only checks are safe to run from cron. + +--- + +### Phase 3 — Capability Productization (1-2 weeks) + +**Goal:** Turn repeated work into durable, reusable capabilities. + +Tasks: + +- Pick top 5 repeated workflows from recent Hermes work. +- For each workflow: + - write or update a skill + - add verification steps + - add rollback or kill-switch notes + - add catalog entry + - assign autonomy level +- Prioritize: + - Gitea/GitHub workflow operations + - Caddy subdomain routing + - Hermes backup operations + - YouTube/content-to-roadmap research + - platform docs/adoption updates + +Exit criteria: + +- Repeated tasks no longer require re-explaining. +- Capability catalog points to exact skills/scripts/docs. +- At least five capabilities have run successfully from the catalog. + +--- + +### Phase 4 — Cadence And Routines (1-2 weeks) + +**Goal:** Move from reactive usage to operating rhythm. + +Tasks: + +- Create or refine cron jobs for: + - daily operator brief + - weekly AIOS audit + - connection freshness check + - stale repo/docs drift check + - backup status report +- Ensure every routine has: + - owner + - schedule + - output target + - failure alert + - kill switch + - autonomy level +- Add Telegram summary format with action-first bullets. + +Exit criteria: + +- Routines run without prompting. +- Failures are visible. +- No routine mutates production without policy clearance. + +--- + +### Phase 5 — Safe Supervised Execution (2-4 weeks) + +**Goal:** Let AIOS execute narrow, reversible tasks with evidence. + +Candidate tasks: + +- docs-only branch creation and commit +- stale link fixes +- issue/roadmap draft creation +- read-only audit report commits +- PR check monitoring +- dependency freshness reports + +Requirements: + +- dedicated branches for mutation +- no force pushes +- commit messages follow conventional commits +- Telegram notification includes files changed and verification +- production changes remain L1/L2 + +Exit criteria: + +- At least three L3 routines complete successfully. +- Rollback path is documented. +- Saravana trusts the summaries without reopening every file. + +--- + +### Phase 6 — Productize For ByteLyst Offerings (Later) + +**Goal:** Convert internal AIOS dogfood into product/client patterns. + +Possible offerings: + +- AIOS starter kit for solo operators +- managed automation OS for small businesses +- product-specific copilots for ByteLyst apps +- AI readiness audit based on Four C's-style scoring +- marketplace-ready AI capabilities using `mcp-server` and platform-service + +Do not start here. Productize only after internal routines prove valuable. + +--- + +## Recommended First 10 Implementation Tickets + +1. **Create AIOS docs folder** under `docs/ecosystem/aios/` with README and source-of-truth map. +2. **Draft AIOS autonomy policy** with L0-L4, Bike Method phases, approval gates, kill switches. +3. **Create connection registry** for Telegram, GitHub, Gitea, Docker, systemd, Caddy, Google Drive, Hermes cron, Hermes skills, platform services. +4. **Create capability catalog** from current Hermes skills, known scripts, and common platform MCP/A2A docs. +5. **Create first AIOS audit scorecard** and record baseline Four C's score. +6. **Add a weekly AIOS audit cron** that produces a Telegram summary and optionally commits report after review. +7. **Add daily operator brief prototype** as L2 Telegram-only draft. +8. **Write production-safe change gate checklist** and link it from `AGENTS.md` or ecosystem operating model. +9. **Convert top repeated workflow into a ByteLyst skill**: YouTube/content research → roadmap doc → commit/push. +10. **Review after two weeks** and promote only the cleanest read-only routines from L2 to L3. + +--- + +## Suggested Four C's Baseline For ByteLyst Today + +This is a qualitative initial estimate based on repo/system inspection, not a formal audit. + +| Layer | Estimate | Rationale | +| ------------ | ---------: | ------------------------------------------------------------------------------------------------------- | +| Context | 18/25 | Strong ecosystem docs and Hermes memory, but AIOS-specific source-of-truth map is missing. | +| Connections | 16/25 | Many live connections exist, but no formal registry with auth/freshness/read-write scope. | +| Capabilities | 21/25 | Hermes skills and repo scripts are strong; catalog and KPI mapping are missing. | +| Cadence | 17/25 | Cron exists and Telegram works; routine registry, output contracts, and autonomy policy are incomplete. | +| **Total** | **72/100** | ByteLyst is already in “built/early compounding” territory. Main gap is governance and cataloging. | + +Target after Phase 4: **85+/100**. + +--- + +## Governance Recommendations + +### Source-Of-Truth Rules + +- Repo docs are source of truth for architecture, policies, and durable operating contracts. +- Hermes memory stores compact durable preferences/environment facts only. +- Session history is used for recall, not as canonical documentation. +- Secrets stay in env files, secret stores, or existing deployment mechanisms, never in AIOS docs. +- Connection registry may name env var keys but must not include values. + +### Commit Rules + +- Docs-only AIOS updates can be committed directly when low risk and requested. +- Production-affecting changes require explicit scope and verification. +- If a repo has existing unpushed commits, preserve them and push together only if fast-forward safe. +- If multiple remotes diverge, push topic branch rather than forcing defaults. + +### Telegram Update Rules + +For AIOS routines, messages should be concise and action-first: + +```text +1️⃣ AIOS weekly audit complete +- Score: 76/100 (+4) +- Top gap: connection registry freshness +- Action: approve docs/ecosystem/aios/CONNECTIONS_REGISTRY.md update +- Evidence: commit , report path +``` + +### Kill Switch Rules + +Every routine must document: + +- how to pause it +- how to remove it +- where logs/output live +- who receives failures +- what conditions require disabling it + +--- + +## Risk Register + +| Risk | Impact | Mitigation | +| ----------------------- | ------------------------------------------------ | ---------------------------------------------------------------------------- | +| Agent over-autonomy | Production breakage or unwanted external actions | L0-L4 policy, approval gates, read-only first, Telegram review | +| Context leakage | Secrets or private data in docs/memory | No raw secrets, env var names only, repo review before commit | +| Automation sprawl | Too many routines nobody trusts | Capability catalog, routine registry, kill switches, weekly audit | +| Stale documentation | Wrong actions based on old assumptions | Freshness checks, source-of-truth hierarchy, recurring audit | +| Model/tool churn | Claude/Hermes/provider behavior changes | Keep workflows tool-agnostic; deterministic scripts before AI calls | +| Hidden maintenance cost | Automations cost more than manual work | Tie every capability to KPI and kill low-value routines | +| Single-VM blast radius | Agent changes can affect many services | Production-safe gate, backups, rollback commands, no public Hermes dashboard | + +--- + +## KPIs To Track + +### Leverage KPIs + +- Hours/week saved from repeated operations. +- Number of recurring tasks handled by AIOS at L2+. +- Number of manual status checks replaced by briefs. +- Time from user request to committed plan/doc/patch. + +### Quality KPIs + +- Percentage of AIOS outputs requiring correction. +- Failed cron/routine count per week. +- Number of stale connection entries. +- Number of docs with broken source-of-truth assumptions. + +### Safety KPIs + +- Production-affecting actions without approval: target 0. +- Secrets committed: target 0. +- Unreviewed public exposure changes: target 0. +- Routines without kill switch: target 0. + +--- + +## Recommended Immediate Decision + +Approve **Phase 0** as the next implementation slice: + +1. Create `docs/ecosystem/aios/`. +2. Add AIOS README, autonomy policy, connection registry, capability catalog, and audit template. +3. Link it from ecosystem docs. +4. Keep all automation at L1/L2 until the first audit and registry are reviewed. + +This gives ByteLyst the benefits of the AIOS pattern quickly without granting risky autonomy. + +--- + +## Appendix A: External Concepts Worth Reusing With Attribution + +The AIS-OS public repository includes MIT-licensed starter-kit concepts and explicitly attributes several frameworks to Nate Herk. If ByteLyst references these externally, preserve attribution. + +Concepts worth reusing internally: + +- Four C's architecture: Context, Connections, Capabilities, Cadence. +- Three M's operating lens: Mindset, Method, Machine. +- Bike Method rollout: Training Wheels → Guided → Watched → Hands-off. +- Intern Rule: own identity, scoped permissions, read-only first, audit trail. +- Kill Switch: remove automations that do not earn their keep. +- “Boring is beautiful”: deterministic workflows before agentic complexity. + +ByteLyst-specific framing should be original: + +- Hermes-native operating layer. +- Telegram-first approval and reporting. +- Common-platform-backed agent contracts. +- Gitea/GitHub dual-remote execution model. +- Single-VM production safety gates. + +--- + +## Appendix B: Candidate ByteLyst AIOS Files To Create Next + +```text +docs/ecosystem/aios/README.md +docs/ecosystem/aios/CONTEXT_PACK.md +docs/ecosystem/aios/CONNECTIONS_REGISTRY.md +docs/ecosystem/aios/CAPABILITY_CATALOG.md +docs/ecosystem/aios/CADENCE_REGISTRY.md +docs/ecosystem/aios/AUTONOMY_POLICY.md +docs/ecosystem/aios/AUDIT_SCORECARD.md +docs/ecosystem/aios/ROADMAP.md +``` + +--- + +## Appendix C: First Candidate Cadences + +| Routine | Schedule | Output | Autonomy | Risk | +| -------------------------- | ------------------------ | ----------------------------------- | -------------------- | ------ | +| Daily operator brief | Weekdays 08:00 Pacific | Telegram summary | L2 | Low | +| Weekly AIOS audit | Friday afternoon Pacific | Markdown report + Telegram | L2/L3 | Low | +| Connection freshness check | Weekly | Registry drift report | L3 read-only | Low | +| Capability catalog drift | Weekly | Stale/missing skills/scripts report | L3 read-only | Low | +| Backup verification | Daily | Silent unless failure | L4 if already proven | Medium | +| Gitea runner health | Daily | Telegram on failure | L3 | Medium | +| Docs broken-link scan | Weekly | Issue/patch draft | L2/L3 | Low | +| Production exposure audit | Weekly | Report only | L2 | Medium | + +--- + +## Appendix D: First Candidate Connections + +- Telegram home channel. +- Hermes memory/profile/session search. +- Hermes skills directory. +- Hermes cron scheduler. +- `learning_ai_common_plat` GitHub remote. +- `learning_ai_common_plat` local Gitea remote. +- ByteLyst devops tools repo. +- Docker engine on Hostinger VM. +- systemd services. +- Caddy config. +- Gitea Actions runner. +- Google Drive `hemes_files` folder. +- FreeLLMAPI local service. +- MarkItDown local utility. +- Platform service health endpoints. +- MCP server tools. +- Extraction service. + +--- + +## Appendix E: Recommended Prompt For Future AIOS Audit Runs + +```text +Run a ByteLyst AIOS audit. Use docs/ecosystem/AIOS_ADOPTION_ROADMAP_2026-05-29.md as the roadmap, inspect docs/ecosystem/aios if it exists, check Hermes skills/cron, check active repo git state, and produce a Four C's score with top 3 gaps. Do not mutate production systems. If you write files, use docs/ecosystem/aios/audits/YYYY-MM-DD.md and commit only docs changes. +``` diff --git a/docs/ecosystem/README.md b/docs/ecosystem/README.md index 0ed2f5c1..11143801 100644 --- a/docs/ecosystem/README.md +++ b/docs/ecosystem/README.md @@ -16,6 +16,7 @@ Recommended structure: - [`ECOSYSTEM_CROSS_POLLINATION_OPPORTUNITIES.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_CROSS_POLLINATION_OPPORTUNITIES.md) — strategy, opportunities, gaps, priorities - [`ECOSYSTEM_IMPLEMENTATION_TRACKER.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_IMPLEMENTATION_TRACKER.md) — canonical execution tracker with checkboxes and commit references - [`ECOSYSTEM_AGENT_OPERATING_MODEL.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_AGENT_OPERATING_MODEL.md) — delegation, review, merge, and tracker-update process for Saravana, Codex, Windsurf, and Cursor +- [`AIOS_ADOPTION_ROADMAP_2026-05-29.md`](./AIOS_ADOPTION_ROADMAP_2026-05-29.md) — roadmap for adopting an AI Operating System layer across Hermes, ByteLyst platform services, repo docs, skills, connections, and cadence routines - [`ECOSYSTEM_SHARED_ARTIFACT_SCHEMA.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_SHARED_ARTIFACT_SCHEMA.md) — canonical artifact model - [`ECOSYSTEM_EVENT_TAXONOMY.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_EVENT_TAXONOMY.md) — shared events and action-log contract - [`ECOSYSTEM_AGENT_RUNTIME_CONTRACT.md`](/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/docs/ecosystem/ECOSYSTEM_AGENT_RUNTIME_CONTRACT.md) — shared session, todo, resume, dispatch semantics