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135 lines
6.2 KiB
Markdown
135 lines
6.2 KiB
Markdown
# Memory Coherence — Multi-Session and State Alignment
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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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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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