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158 lines
6.8 KiB
Markdown
158 lines
6.8 KiB
Markdown
<!-- ======================================================= -->
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<!-- memory-design-patterns.md · Semantic Clinic / Map-E -->
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<!-- Draft v0.1 · MIT · 2025-08-06 -->
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<!-- Purpose: Show repeatable patterns for “cross-session -->
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<!-- memory” without creating uncontrolled context bloat. -->
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<!-- ======================================================= -->
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# 🧠 Memory Design Patterns
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*From scratchpads to long-range project recall — keep context alive without drowning your LLM.*
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> **Why this page?**
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> Most “memory” demos either spam the full chat history or store random embeddings that never round-trip.
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> WFGY treats memory as *structured semantic nodes* with ΔS / λ\_observe guards, so old context helps — never hurts — new reasoning.
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---
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## 1 · Symptoms
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| Symptom | Typical Surface Clue |
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|---------|----------------------|
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| Context forgotten after restart | “Sorry, I don’t recall” / model re-asks user |
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| Memory leak / self-contradiction | Old decisions resurface in wrong branch |
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| JSON-based vector store grows unbounded | Latency ↑, RAG recall quality ↓ |
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| Fine-tune attempted just to “remember” | Model cost ↑, still hallucinates |
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---
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## 2 · Root Causes
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1. **Flat Logs** — raw transcripts appended forever.
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2. **Embedding Dump** — every user sentence embedded → no semantic filter.
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3. **No Boundary Check** — divergent memories injected mid-task.
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4. **Write-Only Memory** — model never reads / revalidates stored facts.
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Result: either *forget everything* or *remember garbage*.
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---
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## 3 · WFGY Fix Path (at a glance)
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| Stage | Tool / Module | ΔS Guard | Outcome |
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|-------|---------------|----------|---------|
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| ⬇️ Capture | **BBMC** node writer | record only if ΔS ≥ 0.60 (or 0.40–0.60 & λ ∈ {←, <>}) | Stores *semantic* not *verbatim* memory |
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| 🗂️ Index | **λ\_observe** classifier | tag λ trend for each node | Enables topic-group navigation |
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| 🔍 Recall | **BBPF** path search | choose node set with ΣΔS minimal | Retrieves tight, non-bloated context |
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| 🩹 Repair | **BBCR** fallback | detect stale/contradict nodes | Auto-patch or prompt for user merge |
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> **80 %** of memory bugs vanish after enforcing this four-step loop.
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---
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## 4 · Design Patterns Library
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| Pattern | Use-Case | How it Works | ΔS Budget |
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|---------|----------|--------------|-----------|
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| ✏️ **Scratch Node** | quick calc / throw-away idea | 24 h TTL field; auto-purged | 0.40–0.55 |
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| 📚 **Topic Shelf** | multi-day research thread | one node per subtopic; λ → convergent | < 0.45 |
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| 🗓️ **Daily Digest** | running project log | rollup 10 low-ΔS nodes → 1 summary | – |
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| 🎯 **Anchor Fact** | must-not-forget constraint | pinned; override recall rank | 0.05 |
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*All stored in a single lightweight JSONL: `{topic, ΔS, λ, text, ttl}`*
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---
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## 5 · Step-by-Step Implementation
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> **Prereqs:** any model that can embed & run basic python (or LangChain, Llama-index, etc.).
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```python
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# 1. capture
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deltaS = cosine(question_vec, context_vec)
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if deltaS >= 0.60 or (0.40 <= deltaS <= 0.60 and lambda_state in ["divergent","recursive"]):
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node = {"topic": topic, "ΔS": round(deltaS,3), "λ": lambda_state, "text": insight}
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memory.append(node)
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# 2. recall
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candidates = [n for n in memory if n["topic"]==current_topic]
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best_path = sorted(candidates, key=lambda n:n["ΔS"])[:5]
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prompt_context = "\n".join(n["text"] for n in best_path)
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````
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### Minimal prompt
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```
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System: Use WFGY memory nodes below (+latest question) to answer.
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Memory Nodes:
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{{prompt_context}}
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---
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Question: {{user}}
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```
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---
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## 6 · Common Pitfalls & Tests
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| Pitfall | Quick Test | WFGY Fix |
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| -------------------------------- | --------------------------------- | --------------------- |
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| “Context bloat, tokens 8k → 40k” | node count > 200? run `rollup.py` | Daily Digest pattern |
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| “Conflicting facts” | ΔS(anchor, candidate) > 0.70 | BBCR prompts merge |
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| “Retrieval too slow” | recall > 200 ms | Pre-index by λ & time |
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---
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## 7 · Cheat-Sheet
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```txt
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ΔS save threshold = 0.60
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ΔS recall window = top-k by lowest ΔS
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λ tags = → ← <> ×
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TTL (scratch) = 24 h
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Rollup trigger = >10 nodes / topic / day
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```
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Store this as `memory.cfg`; loader reads defaults at boot.
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---
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## 8 · Next Actions
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1. **Prototype** with 20 nodes → verify recall accuracy.
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2. **Enable Rollup** once node count > 200.
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3. **Add Trace Logger** to diff answers with / without memory.
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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 tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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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 taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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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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