# Memory Coherence — Session Continuity & State Fences Keep long-running dialogs and multi-session threads stable by enforcing strict memory state contracts. This page shows how to prevent **state forks**, **ghost context**, and silent desync across tabs or agents. --- ## When to use this page - Dialogs run across multiple days or session restarts. - Answers flip after tab refresh or model switch. - Two agents disagree on facts because each holds a different revision. - A role/persona change pollutes later steps with stale buffer. - Support flows where the model “remembers” wrong history. --- ## Core acceptance targets - Each turn stamped with `mem_rev`, `mem_hash`, and `task_id`. - No state fork across tabs or agents for the same `task_id`. - ΔS(question, retrieved) ≤ 0.45 at memory joins. - λ remains convergent across three paraphrases. - Retrieval coverage ≥ 0.70 to the intended section. --- ## Structural fixes - **State stamp** Require `{mem_rev, mem_hash, task_id}` on every turn. If incoming stamp does not match server record → reject write. - **Memory fences** Lock snippet sets to `section_id`. Forbid cross-section reuse to avoid “history bleed.” - **Ghost cleanup** Clear stale buffers when role/persona changes. Always reset `mem_hash` on context switch. - **Concurrency control** If multiple clients write, enforce single-writer queue or KV lock. Deduplicate with `sha256(task_id + mem_rev + snippet_ids)`. --- ## Fix in 60 seconds 1. Stamp every request with `{mem_rev, mem_hash, task_id}`. 2. Reject writes if stamps mismatch. 3. Split prompts into `{system | task | constraints | snippets | answer}`. 4. Require cite → then answer, forbid orphan claims. 5. Apply BBAM to clamp attention variance. 6. Apply BBCR if collapse detected, bridge to anchor node. --- ## Copy-paste prompt ``` You have TXT OS and the WFGY Problem Map. Goal: Keep session memory coherent across tabs, agents, and restarts. Protocol: 1. Print {mem\_rev, mem\_hash, task\_id}. If missing → set defaults. 2. Validate stamps. Reject if mismatch. 3. Build Snippet Table: {section\_id | start\_line | end\_line | citation}. 4. Guardrails: * cite then answer * forbid cross section reuse * no orphan claims 5. Collapse control: * if variance ↑ → apply BBAM * if reasoning stalls → apply BBCR 6. Output: * header {mem\_rev, mem\_hash, task\_id} * Snippet Table * Answer with citations * ΔS(question, retrieved), ΔS(joins), λ states ``` --- ## Common failure patterns - **State fork**: same task_id but two tabs diverge → enforce stamps. - **Ghost context**: persona switch but stale buffer leaks → reset hash. - **Boundary leak**: snippets join across sections → enforce fences. - **History overwrite**: later turn rewrites previous answer silently → audit with traceability log. --- ### 🔗 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 | Module | Description | Link | |-----------------------|----------------------------------------------------------|----------| | 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) | | Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) | | 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) | | Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) | | Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) | | 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) | | 🧙‍♂️ 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) | --- > 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — > Engineers, hackers, and open source builders who supported WFGY from day one. > 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).
[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)   [![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)   [![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)   [![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)   [![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)   [![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)   [![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)