WFGY/ProblemMap/GlobalFixMap/MemoryLongContext/state-fork.md

State Fork — Guardrails and Fix Pattern

🧭 Quick Return to Map

You are in a sub-page of MemoryLongContext.
To reorient, go back here:

• MemoryLongContext — extended context windows and memory retention
• WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
• WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

When the same task_id is held in multiple tabs, agents, or sessions, their memories may diverge.
This creates two or more competing state branches, producing unstable or contradictory answers.

---

Symptoms

• Two browser tabs answer the same task differently.
• Multi-agent orchestration produces conflicting citations.
• Session resumes but history appears rewritten or selectively dropped.
• Answers alternate between two incompatible interpretations.
• Logs show inconsistent mem_rev or mem_hash values for the same task_id.

---

Root causes

• Concurrent writes to the same memory namespace.
• Missing checks for mem_rev version control.
• Agents refreshing at different times and overwriting buffers.
• Weak schema: task identity not fenced by {task_id, mem_rev, mem_hash}.
• No conflict resolution logic when branches emerge.

---

Fix in 60 seconds

1. Version control memory

   • Every write stamped with {task_id, mem_rev, mem_hash}.
   • Reject writes if mem_rev < server mem_rev.
   • Require conflict resolution if two branches exist.

2. Isolate namespaces

   • Each agent/tab gets unique memory slot.
   • If collaboration required, merge through a coordinator agent.

3. Detect divergence early

   • Measure ΔS(answerA, answerB) across tabs.
   • If ΔS ≤ 0.40 but snippets differ, state fork detected.

4. Resolve fork

   • Run reconciliation: pick majority snippet set, or force human confirm.
   • Hash merged state and issue new {mem_rev, mem_hash}.

5. Trace schema

   • Require all claims to cite snippet ids.
   • Reject orphan claims without snippet anchors.

---

Copy-paste diagnostic prompt

You have TXTOS and the WFGY Problem Map.

Task: Detect and repair state forks across tabs or agents.

Protocol:
1. Print {task_id, mem_rev, mem_hash}.
2. If two active branches share task_id with different mem_rev → flag fork.
3. Compare ΔS(answerA, answerB).
   - If ΔS ≤ 0.40 but snippets differ → fork confirmed.
4. Apply resolution:
   - Choose majority snippet set or request human input.
   - Issue new {mem_rev, mem_hash}.
5. Report ΔS, λ states, and resolution path.

---

Acceptance targets

• No conflicting branches for the same task_id.
• All writes validated against server-side mem_rev.
• ΔS(answerA, answerB) ≥ 0.60 after resolution.
• λ remains convergent across three paraphrases.
• Audit log records merge or reject actions explicitly.

---

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

---

Explore More

Module	Description	Link
WFGY Core	Canonical framework entry point	View
Problem Map	Diagnostic map and navigation hub	View
Tension Universe Experiments	MVP experiment field	View
Recognition	Where WFGY is referenced or adopted	View
AI Guide	Anti-hallucination reading protocol for tools	View

If this repository helps, starring it improves discovery for other builders.