Agent Context and Feedback LayerReview-centered Operator View

Semantic OS Workspace v0.1

Review-centered workspace for AI-ready context, decisions, actions, feedback, and agent execution.

Semantic OS turns messy work artifacts into AI-ready context, reviewable decisions, agent task packs, and accountable feedback loops. It does not replace Codex, Claude, Cursor, VS Code, Obsidian, or Knowledge Map AI.

Strategy 1: Semantic OS → Agent Task Pack → Claude/Codex

Strategy 2: Codex/Claude/Cursor → Semantic OS MCP

At a glance

Operational Summary

Active Projects

Pending Reviews

Agent Task Packs

Action Feedback Items

Risks

Knowledge Map Views

Per-query workspace

Recent Queries

What are the next actions for Semantic OS Workspace v0.1?
action_planningconfidence · High
Open Query Result

Local-only entry

Local Private Workspace

Load an approved Semantic OS workspace-load-ready package in Local Private Mode.

Public demo default refuses to fetch. RequiresNEXT_PUBLIC_ENABLE_LOCAL_WORKSPACE=trueand a populatedapps/web/public/workspace-load-ready/folder on the operator’s machine.

Open Local Private Workspace

Workspace

Project Dashboard

Semantic OS Web Workspace

Candidate Decision

Next action: Build v0.1 page map
Risk: Scope creep
Recommended agent: Product Design / Claude Code

View DashboardGenerate Agent Task Pack

Knowledge Map AI

Active

Next action: Link Context Pack preview
Risk: Do not become full control center
Recommended agent: Claude / Codex

View DashboardGenerate Agent Task Pack

Client Pilot Demo

Preparation

Next action: Prepare review-gated workflow demo
Risk: Customer cannot understand raw directories
Recommended agent: Sales / Product Design

View DashboardGenerate Agent Task Pack

Core of v0.1

Review Queue

Candidate	Type	Confidence	Source	Suggested route	Status	Actions
Intake Candidate	intake	High	Project note	Intake Queue → Reviewed Knowledge	Pending	ReviewApproveRejectRevise
Product Design Feedback	product_design_review	High	Codex Product Design	Reviewed Knowledge	Reviewed	ReviewApproveRejectRevise
Web Workspace Candidate Decision	product_decision	Medium	Codex feedback + review	Project Decisions	Candidate	ReviewApproveRejectRevise
Action Feedback Candidate	action_feedback	Medium	Agent execution result	Action Feedback	Pending	ReviewApproveRejectRevise
Context Pack Candidate	knowledge_map_context	Low	Reviewed distillation	Context Packs	Needs Revision	ReviewApproveRejectRevise

Review surface

Candidate Detail

Semantic OS Web Workspace v0.1 Candidate Decision

Source

Codex Product Design Feedback

Classification

research_note + product_decision + product_design_review

Recommendation

Build Web Workspace v0.1 as review-centered Operator View first

Approved

• Operator View first
• Candidate Review core
• MCP read/context first
• Knowledge Map as entry/view only

Deferred

• Full Client View
• Multi-tenant SaaS
• Agent Marketplace
• Fully autonomous execution

Rejected

• Direct formal writeback
• Full 3D control center in v0.1

Approve CandidateReject CandidateRevise CandidateCreate Candidate Decision

Controlled handoff

Agent Task Pack Preview

Review Semantic OS Workspace v0.1 page map

Codex Product Design

task_id: PDFL-2026-06-06-02
writeback policy: candidate_only
goal: Evaluate v0.1 page structure, Operator View, Client View, Review Queue, Agent Task Pack UX, and what not to build.
success criteria: • v0.1 page map validated
• Operator vs Client split confirmed
• Explicit "what not to build" list
constraints: • No full SaaS
• No multi-tenant
• No autonomous execution
• Do not replace existing tools
context summary: Semantic OS is an Agent Context and Feedback Layer. It already has Auto Intake, Distillation, and a human Review Gate. Evaluating Web Workspace v0.1.
expected outputs: recommended positioning · v0.1 page map · Operator View structure · first demo flow · what not to build
human review required: true

Open Agent Task PackCopy Prompt for CodexOpen in VS CodeSave Feedback to InboxCreate Action Feedback Candidate

Two integration paths

MCP / Agent Integration

Strategy 1 · Semantic OS → Agent Execution

Semantic OS
→ Agent Task Pack
→ VS Code + Claude/Codex
→ Execution Result
→ Action Feedback Candidate
→ Review Gate

Strategy 2 · Codex/Claude/Cursor → Semantic OS MCP

Codex / Claude / Cursor
→ Semantic OS MCP Server
→ get_project_context
→ list_pending_reviews
→ create_action_feedback_candidate
→ Web Workspace Review

Minimum v0.1 MCP tools (read-first)

search_semantic_osget_project_contextget_project_dashboardlist_pending_reviewscreate_intake_candidatecreate_action_feedback_candidatecreate_context_pack_candidate

Accountable loop

Action Feedback

Product Design feedback processed

Reviewed

External agent reviews route cleanly through Auto Intake

→ Reviewed Knowledge

Auto Intake candidate reviewed

Approved

Single-file candidate mode keeps review surface small

→ Reviewed Knowledge

Web Workspace candidate decision created

Candidate

Candidate-decision keeps direction without premature commitment

→ Project Decisions

Next action: create page map / prototype brief

Pending

Prototype before formal decision upgrade

→ Agent Task Pack

Visualization layer

Knowledge Map AI

Role: 2D / 3D visualization layer, not source of truth.

View Project Map Preview Context Pack Open 3D Relationship View

Boundary

What Not To Build Yet

Keep v0.1 review-centered. Do not build:

full SaaSmulti-tenant adminagent marketplacefully autonomous executioncomplex permission systemfull client portalfull 3D control centerdirect formal writeback automation