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