# Memory Coherence — Multi-Session and State Alignment 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 | 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)