# Memory Coherence — Multi-Session and State Alignment
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> You are in a sub-page of **MemoryLongContext**.
> To reorient, go back here:
>
> - [**MemoryLongContext** — extended context windows and memory retention](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
>
> 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.
Keep multi-turn and multi-session dialogs stable by fencing memory state.
This page shows how to prevent forks, desync, and ghost buffers when conversations span long contexts or multiple agents.
---
## When to use this page
- Long support chats (~days) forget earlier task context.
- Model switches or tab refreshes flip prior facts.
- Two agents on the same ticket give inconsistent answers.
- OCR transcripts look fine but later steps rewrite history.
- Persona or role change contaminates state with old context.
---
## Core acceptance targets
- Each turn stamped with `mem_rev` and `mem_hash`.
- No forks across sessions for the same `task_id`.
- ΔS(question, retrieved) ≤ 0.45 with joins ≤ 0.50.
- λ remains convergent across three paraphrases.
- All claims cite snippet_id, no orphans.
---
## Structural fixes
- **Stamp and fence**
Require `mem_rev`, `mem_hash`, and `task_id` at every turn.
Forbid writes if stamps mismatch.
- **Shard state**
Partition prompts as `{system | task | constraints | snippets | answer}`.
Forbid snippet reuse across sections.
- **Normalize consistently**
Enforce Unicode NFC, strip zero width marks, unify full/half width.
Block OCR lines below confidence threshold.
- **Recover forks**
If two agents diverge, reconcile by ΔS triangulation and pick the lower-entropy path.
- **Bridge collapse**
Apply BBCR if attention melt or desync detected mid-chain.
---
## Fix in 60 seconds
1. At turn start, echo {mem_rev, mem_hash, task_id}.
2. If stamps mismatch, reject write and request sync.
3. Split snippets by section, forbid cross-reuse.
4. Normalize all inputs.
5. Apply BBAM/BBCR if λ drifts or collapse appears.
6. Verify ΔS(question, retrieved) ≤ 0.45 and joins ≤ 0.50.
---
## Copy-paste prompt
```
You have TXT OS and the WFGY Problem Map.
Goal: Keep memory coherent across multi-session dialogs.
Protocol:
1. Print {mem\_rev, mem\_hash, task\_id}.
2. Assemble prompt as {system | task | constraints | snippets | answer}.
3. Enforce guardrails:
* cite then answer
* forbid cross-section reuse
* reject orphan claims without snippet\_id
4. If λ flips, apply BBAM. If collapse, insert BBCR bridge.
5. Report ΔS(question, retrieved), ΔS across joins, λ states, and final answer.
```
---
## Common failure patterns
- **State fork**: two parallel tabs rewrite history differently.
- **Ghost buffer**: old role text leaks into new session.
- **Desync**: memory IDs mismatch after refresh.
- **OCR drift**: spacing or casing breaks snippet alignment.
---
### 🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
---
### Explore More
| Layer | Page | What it’s for |
| --- | --- | --- |
| Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine |
| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
| Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set |
| Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map |
| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
If this repository helped, starring it improves discovery so more builders can find the docs and tools.
[](https://github.com/onestardao/WFGY)