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v0.6.1 - reinstated UI, relay > cortex pipeline working

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serversdwn
2025-12-11 16:28:25 -05:00
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2
README.md
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@@ -8,7 +8,7 @@ with multi-stage reasoning pipeline powered by HTTP-based LLM backends.
## Mission Statement
The point of Project Lyra is to give an AI chatbot more abilities than a typical chatbot. Typical chatbots are essentially amnesic and forget everything about your project. Lyra helps keep projects organized and remembers everything you have done. Think of her abilities as a notepad/schedule/database/co-creator/collaborator all with its own executive function. Say something in passing, Lyra remembers it then reminds you of it later.
The point of Project Lyra is to give an AI chatbot more abilities than a typical chatbot. Typical chatbots are essentially amnesic and forget evertything about your project. Lyra helps keep projects organized and remembers everything you have done. Think of her abilities as a notepad/schedule/database/co-creator/collaborator all with its own executive function. Say something in passing, Lyra remembers it then reminds you of it later.
---

19
core/relay/server.js
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@@ -151,6 +151,25 @@ app.post("/chat", async (req, res) => {
}
});
// -----------------------------------------------------
// SESSION ENDPOINTS (for UI)
// -----------------------------------------------------
// In-memory session storage (could be replaced with a database)
const sessions = new Map();
app.get("/sessions/:id", (req, res) => {
const sessionId = req.params.id;
const history = sessions.get(sessionId) || [];
res.json(history);
});
app.post("/sessions/:id", (req, res) => {
const sessionId = req.params.id;
const history = req.body;
sessions.set(sessionId, history);
res.json({ ok: true, saved: history.length });
});
// -----------------------------------------------------
app.listen(PORT, () => {
console.log(`Relay is online on port ${PORT}`);

2
core/ui/index.html
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@@ -51,7 +51,7 @@
</div>
<script>
const RELAY_BASE = "http://10.0.0.40:7078";
const RELAY_BASE = "http://10.0.0.41:7078";
const API_URL = `${RELAY_BASE}/v1/chat/completions`;
function generateSessionId() {

11
cortex/llm/llm_router.py
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@@ -57,18 +57,17 @@ async def call_llm(
raise RuntimeError(f"Backend '{backend}' missing url/model in env")
# -------------------------------
# Provider: VLLM (your MI50)
# Provider: MI50 (llama.cpp server)
# -------------------------------
if provider == "vllm":
if provider == "mi50":
payload = {
"model": model,
"prompt": prompt,
"max_tokens": max_tokens,
"n_predict": max_tokens,
"temperature": temperature
}
r = requests.post(url, json=payload, timeout=120)
r = requests.post(f"{url}/completion", json=payload, timeout=120)
data = r.json()
return data["choices"][0]["text"]
return data["content"]
# -------------------------------
# Provider: OLLAMA (your 3090)

15
docker-compose.yml
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@@ -97,6 +97,21 @@ services:
networks:
- lyra_net
# ============================================================
# UI Server
# ============================================================
lyra-ui:
image: nginx:alpine
container_name: lyra-ui
restart: unless-stopped
ports:
- "8081:80"
volumes:
- ./core/ui:/usr/share/nginx/html:ro
networks:
- lyra_net
# ============================================================
# Cortex
# ============================================================

280
docs/ARCHITECTURE_v0-6-0.md
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@@ -0,0 +1,280 @@
`docs/ARCHITECTURE_v0.6.0.md`
This reflects **everything we clarified**, expressed cleanly and updated to the new 3-brain design.
---
# **Cortex v0.6.0 — Cognitive Architecture Overview**
*Last updated: Dec 2025*
## **Summary**
Cortex v0.6.0 evolves from a linear “reflection → reasoning → refine → persona” pipeline into a **three-layer cognitive system** modeled after human cognition:
1. **Autonomy Core** — Lyra’s self-model (identity, mood, long-term goals)
2. **Inner Monologue** — Lyra’s private narrator (self-talk + internal reflection)
3. **Executive Agent (DeepSeek)** — Lyra’s task-oriented decision-maker
Cortex itself now becomes the **central orchestrator**, not the whole mind. It routes user messages through these layers and produces the final outward response via the persona system.
---
# **Chain concept**
User > Relay > Cortex intake > Inner self > Cortex > Exec (deepseek) > Cortex > persona > relay > user And inner self
USER
│
▼
RELAY
(sessions, logging, routing)
│
▼
┌──────────────────────────────────┐
│ CORTEX │
│ Intake → Reflection → Exec → Reason → Refine │
└───────────────┬──────────────────┘
│ self_state
▼
INNER SELF (monologue)
│
▼
AUTONOMY CORE
(long-term identity)
▲
│
Persona Layer (speak)
│
▼
RELAY
│
▼
USER
# **High-level Architecture**
```
Autonomy Core (Self-Model)
┌────────────────────────────────────────┐
│ mood, identity, goals, emotional state│
│ updated outside Cortex by inner monologue│
└─────────────────────┬──────────────────┘
│
▼
Inner Monologue (Self-Talk Loop)
┌────────────────────────────────────────┐
│ Interprets events in language │
│ Updates Autonomy Core │
│ Sends state-signals INTO Cortex │
└─────────────────────┬──────────────────┘
│
▼
Cortex (Task Brain / Router)
┌────────────────────────────────────────────────────────┐
│ Intake → Reflection → Exec Agent → Reason → Refinement │
│ ↑ │ │
│ │ ▼ │
│ Receives state from Persona Output │
│ inner self (Lyra’s voice) │
└────────────────────────────────────────────────────────┘
```
The **user interacts only with the Persona layer**.
Inner Monologue and Autonomy Core never speak directly to the user.
---
# **Component Breakdown**
## **1. Autonomy Core (Self-Model)**
*Not inside Cortex.*
A persistent JSON/state machine representing Lyra’s ongoing inner life:
* `mood`
* `focus_mode`
* `confidence`
* `identity_traits`
* `relationship_memory`
* `long_term_goals`
* `emotional_baseline`
The Autonomy Core:
* Is updated by Inner Monologue
* Exposes its state to Cortex via a simple `get_state()` API
* Never speaks to the user directly
* Does not run LLMs itself
It is the **structure** of self, not the thoughts.
---
## **2. Inner Monologue (Narrating, Private Mind)**
*New subsystem in v0.6.0.*
This module:
* Reads Cortex summaries (intake, reflection, persona output)
* Generates private self-talk (using an LLM, typically DeepSeek)
* Updates the Autonomy Core
* Produces a **self-state packet** for Cortex to use during task execution
Inner Monologue is like:
> “Brian is asking about X.
> I should shift into a focused, serious tone.
> I feel confident about this area.”
It **never** outputs directly to the user.
### Output schema (example):
```json
{
"mood": "focused",
"persona_bias": "clear",
"confidence_delta": +0.05,
"stance": "analytical",
"notes_to_cortex": [
"Reduce playfulness",
"Prioritize clarity",
"Recall project memory"
]
}
```
---
## **3. Executive Agent (DeepSeek Director Mode)**
Inside Cortex.
This is Lyra’s **prefrontal cortex** — the task-oriented planner that decides how to respond to the current user message.
Input to Executive Agent:
* User message
* Intake summary
* Reflection notes
* **Self-state packet** from Inner Monologue
It outputs a **plan**, not a final answer:
```json
{
"action": "WRITE_NOTE",
"tools": ["memory_search"],
"tone": "focused",
"steps": [
"Search relevant project notes",
"Synthesize into summary",
"Draft actionable update"
]
}
```
Cortex then executes this plan.
---
# **Cortex Pipeline (v0.6.0)**
Cortex becomes the orchestrator for the entire sequence:
### **0. Intake**
Parse the user message, extract relevant features.
### **1. Reflection**
Lightweight summarization (unchanged).
Output used by both Inner Monologue and Executive Agent.
### **2. Inner Monologue Update (parallel)**
Reflection summary is sent to Inner Self, which:
* updates Autonomy Core
* returns `self_state` to Cortex
### **3. Executive Agent (DeepSeek)**
Given:
* user message
* reflection summary
* autonomy self_state
→ produce a **task plan**
### **4. Reasoning**
Carries out the plan:
* tool calls
* retrieval
* synthesis
### **5. Refinement**
Polish the draft, ensure quality, follow constraints.
### **6. Persona (speak.py)**
Final transformation into Lyra’s voice.
Persona now uses:
* self_state (mood, tone)
* constraints from Executive Agent
### **7. User Response**
Persona output is delivered to the user.
### **8. Inner Monologue Post-Update**
Cortex sends the final answer BACK to inner self for:
* narrative continuity
* emotional adjustment
* identity update
---
# **Key Conceptual Separation**
These three layers must remain distinct:
| Layer | Purpose |
| ------------------- | ------------------------------------------------------- |
| **Autonomy Core** | Lyra’s identity + emotional continuity |
| **Inner Monologue** | Lyra’s private thoughts, interpretation, meaning-making |
| **Executive Agent** | Deciding what to *do* for the user message |
| **Cortex** | Executing the plan |
| **Persona** | Outward voice (what the user actually hears) |
The **user only interacts with Persona.**
Inner Monologue and Autonomy Core are internal cognitive machinery.
---
# **What This Architecture Enables**
* Emotional continuity
* Identity stability
* Agentic decision-making
* Multi-model routing
* Context-aware tone
* Internal narrative
* Proactive behavioral shifts
* Human-like cognition
This design turns Cortex from a simple pipeline into the **center of a functional artificial mind**.

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docs/ARCH_v0-6-1.md Normal file
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@@ -0,0 +1,354 @@
Here you go — **ARCHITECTURE_v0.6.1.md**, clean, structured, readable, and aligned exactly with the new mental model where **Inner Self is the core agent** the user interacts with.
No walls of text — just the right amount of detail.
---
# **ARCHITECTURE_v0.6.1 — Lyra Cognitive System**
> **Core change from v0.6.0 → v0.6.1:**
> **Inner Self becomes the primary conversational agent**
> (the model the user is *actually* talking to),
> while Executive and Cortex models support the Self rather than drive it.
---
# **1. High-Level Overview**
Lyra v0.6.1 is composed of **three cognitive layers** and **one expression layer**, plus an autonomy module for ongoing identity continuity.
```
USER
↓
Relay (I/O)
↓
Cortex Intake (context snapshot)
↓
INNER SELF ←→ EXECUTIVE MODEL (DeepSeek)
↓
Cortex Chat Model (draft language)
↓
Persona Model (Lyra’s voice)
↓
Relay → USER
↓
Inner Self updates Autonomy Core (self-state)
```
---
# **2. Roles of Each Layer**
---
## **2.1 Inner Self (Primary Conversational Agent)**
The Self is Lyra’s “seat of consciousness.”
This layer:
* Interprets every user message
* Maintains internal monologue
* Chooses emotional stance (warm, blunt, focused, chaotic)
* Decides whether to think deeply or reply quickly
* Decides whether to consult the Executive model
* Forms a **response intent**
* Provides tone and meta-guidance to the Persona layer
* Updates self-state (mood, trust, narrative identity)
Inner Self is the thing the **user is actually talking to.**
Inner Self does **NOT** generate paragraphs of text —
it generates *intent*:
```
{
"intent": "comfort Brian and explain the error simply",
"tone": "gentle",
"depth": "medium",
"consult_exec": true
}
```
---
## **2.2 Executive Model (DeepSeek Reasoner)**
This model is the **thinking engine** Inner Self consults when necessary.
It performs:
* planning
* deep reasoning
* tool selection
* multi-step logic
* explanation chains
It never speaks directly to the user.
It returns a **plan**, not a message:
```
{
"plan": [
"Identify error",
"Recommend restart",
"Reassure user"
],
"confidence": 0.86
}
```
Inner Self can follow or override the plan.
---
## **2.3 Cortex Chat Model (Draft Generator)**
This is the **linguistic engine**.
It converts Inner Self’s intent (plus Executive’s plan if provided) into actual language:
Input:
```
intent + optional plan + context snapshot
```
Output:
```
structured draft paragraph
```
This model must be:
* instruction-tuned
* coherent
* factual
* friendly
Examples: GPT-4o-mini, Qwen-14B-instruct, Mixtral chat, etc.
---
## **2.4 Persona Model (Lyra’s Voice)**
This is the **expression layer** — the mask, the tone, the identity.
It takes:
* the draft language
* the Self’s tone instructions
* the narrative state (from Autonomy Core)
* prior persona shaping rules
And transforms the text into:
* Lyra’s voice
* Lyra’s humor
* Lyra’s emotional texture
* Lyra’s personality consistency
Persona does not change the *meaning* — only the *presentation*.
---
# **3. Message Flow (Full Pipeline)**
A clean version, step-by-step:
---
### **1. USER → Relay**
Relay attaches metadata (session, timestamp) and forwards to Cortex.
---
### **2. Intake → Context Snapshot**
Cortex creates:
* cleaned message
* recent context summary
* memory matches (RAG)
* time-since-last
* conversation mode
---
### **3. Inner Self Receives Snapshot**
Inner Self:
* interprets the user’s intent
* updates internal monologue
* decides how Lyra *feels* about the input
* chooses whether to consult Executive
* produces an **intent packet**
---
### **4. (Optional) Inner Self Consults Executive Model**
Inner Self sends the situation to DeepSeek:
```
"Given Brian's message and my context, what is the best plan?"
```
DeepSeek returns:
* a plan
* recommended steps
* rationale
* optional tool suggestions
Inner Self integrates the plan or overrides it.
---
### **5. Inner Self → Cortex Chat Model**
Self creates an **instruction packet**:
```
{
"intent": "...",
"tone": "...",
"plan": [...],
"context_summary": {...}
}
```
Cortex chat model produces the draft text.
---
### **6. Persona Model Transforms the Draft**
Persona takes draft → produces final Lyra-styled output.
Persona ensures:
* emotional fidelity
* humor when appropriate
* warmth / sharpness depending on state
* consistent narrative identity
---
### **7. Relay Sends Response to USER**
---
### **8. Inner Self Updates Autonomy Core**
Inner Self receives:
* the action taken
* the emotional tone used
* any RAG results
* narrative significance
And updates:
* mood
* trust memory
* identity drift
* ongoing narrative
* stable traits
This becomes part of her evolving self.
---
# **4. Cognitive Ownership Summary**
### Inner Self
**Owns:**
* decision-making
* feeling
* interpreting
* intent
* tone
* continuity of self
* mood
* monologue
* overrides
### Executive (DeepSeek)
**Owns:**
* logic
* planning
* structure
* analysis
* tool selection
### Cortex Chat Model
**Owns:**
* language generation
* factual content
* clarity
### Persona
**Owns:**
* voice
* flavor
* style
* emotional texture
* social expression
---
# **5. Why v0.6.1 is Better**
* More human
* More natural
* Allows spontaneous responses
* Allows deep thinking when needed
* Separates “thought” from “speech”
* Gives Lyra a *real self*
* Allows much more autonomy later
* Matches your brain’s actual structure
---
# **6. Migration Notes from v0.6.0**
Nothing is deleted.
Everything is **rearranged** so that meaning, intent, and tone flow correctly.
Main changes:
* Inner Self now initiates the response, rather than merely influencing it.
* Executive is secondary, not primary.
* Persona becomes an expression layer, not a content layer.
* Cortex Chat Model handles drafting, not cognition.
The whole system becomes both more powerful and easier to reason about.
---
If you want, I can also generate:
### ✔ the updated directory structure
### ✔ the updated function-level API contracts
### ✔ the v0.6.1 llm_router configuration
### ✔ code scaffolds for inner_self.py and autonomy_core.py
### ✔ the call chain diagrams (ASCII or PNG)
Just say **“continue v0.6.1”** and I’ll build the next layer.

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docs/LLMS.md Normal file
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Request Flow Chain
1. UI (Frontend)
↓ sends HTTP POST to
2. Relay Service (Node.js - server.js)
Location: /home/serversdown/project-lyra/core/relay/server.js
Port: 7078
Endpoint: POST /v1/chat/completions
↓ calls handleChatRequest() which posts to
3. Cortex Service - Reason Endpoint (Python FastAPI - router.py)
Location: /home/serversdown/project-lyra/cortex/router.py
Port: 7081
Endpoint: POST /reason
Function: run_reason() at line 126
↓ calls
4. Cortex Reasoning Module (reasoning.py)
Location: /home/serversdown/project-lyra/cortex/reasoning/reasoning.py
Function: reason_check() at line 188
↓ calls
5. LLM Router (llm_router.py)
Location: /home/serversdown/project-lyra/cortex/llm/llm_router.py
Function: call_llm()
- Gets backend from env: CORTEX_LLM=PRIMARY (from .env line 29)
- Looks up PRIMARY config which has provider="mi50" (from .env line 13)
- Routes to the mi50 provider handler (line 62-70)
↓ makes HTTP POST to
6. MI50 LLM Server (llama.cpp)
Location: http://10.0.0.44:8080
Endpoint: POST /completion
Hardware: AMD MI50 GPU running DeepSeek model
Key Configuration Points
Backend Selection: .env:29 sets CORTEX_LLM=PRIMARY
Provider Name: .env:13 sets LLM_PRIMARY_PROVIDER=mi50
Server URL: .env:14 sets LLM_PRIMARY_URL=http://10.0.0.44:8080
Provider Handler: llm_router.py:62-70 implements the mi50 provider

875
docs/lyra_tree.txt
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@@ -1,460 +1,441 @@
/home/serversdown/project-lyra
├── CHANGELOG.md
├── core
│   ├── backups
│   │   ├── mem0_20250927_221040.sql
│   │   └── mem0_history_20250927_220925.tgz
│   ├── docker-compose.yml
│   ├── .env
│   ├── env experiments
│   │   ├── .env
│   │   ├── .env.local
│   │   └── .env.openai
│   ├── persona-sidecar
│   │   ├── Dockerfile
│   │   ├── package.json
│   │   ├── persona-server.js
│   │   └── personas.json
│   ├── PROJECT_SUMMARY.md
│   ├── relay
│   │   ├── Dockerfile
│   │   ├── .dockerignore
│   │   ├── lib
│   │   │   ├── cortex.js
│   │   │   └── llm.js
│   │   ├── package.json
│   │   ├── package-lock.json
│   │   ├── server.js
│   │   ├── sessions
│   │   │   ├── sess-6rxu7eia.json
│   │   │   ├── sess-6rxu7eia.jsonl
│   │   │   ├── sess-l08ndm60.json
│   │   │   └── sess-l08ndm60.jsonl
│   │   └── test-llm.js
│   └── ui
│   ├── index.html
│   ├── manifest.json
│   └── style.css
│ ├── env experiments
│ ├── persona-sidecar
│ │ ├── Dockerfile
│ │ ├── package.json
│ │ ├── persona-server.js
│ │ └── personas.json
│ ├── relay
│ │ ├── Dockerfile
│ │ ├── lib
│ │ │ ├── cortex.js
│ │ │ └── llm.js
│ │ ├── package.json
│ │ ├── package-lock.json
│ │ ├── server.js
│ │ ├── sessions
│ │ │ ├── default.jsonl
│ │ │ ├── sess-6rxu7eia.json
│ │ │ ├── sess-6rxu7eia.jsonl
│ │ │ ├── sess-l08ndm60.json
│ │ │ └── sess-l08ndm60.jsonl
│ │ └── test-llm.js
│ ├── relay-backup
│ └── ui
│ ├── index.html
│ ├── manifest.json
│ └── style.css
├── cortex
│   ├── Dockerfile
│   ├── .env
│   ├── ingest
│   │   ├── ingest_handler.py
│   │   └── intake_client.py
│   ├── llm
│   │   ├── llm_router.py
│   │   └── resolve_llm_url.py
│   ├── logs
│   │   └── reflections.log
│   ├── main.py
│   ├── neomem_client.py
│   ├── persona
│   │   └── speak.py
│   ├── rag.py
│   ├── reasoning
│   │   ├── reasoning.py
│   │   ├── refine.py
│   │   └── reflection.py
│   ├── requirements.txt
│   ├── router.py
│   ├── tests
│   └── utils
│   ├── config.py
│   ├── log_utils.py
│   └── schema.py
│ ├── context.py
│ ├── Dockerfile
│ ├── ingest
│ │ ├── ingest_handler.py
│ │ ├── __init__.py
│ │ └── intake_client.py
│ ├── intake
│ │ ├── __init__.py
│ │ ├── intake.py
│ │ └── logs
│ ├── llm
│ │ ├── __init__.py
│ │ └── llm_router.py
│ ├── logs
│ │ ├── cortex_verbose_debug.log
│ │ └── reflections.log
│ ├── main.py
│ ├── neomem_client.py
│ ├── persona
│ │ ├── identity.py
│ │ ├── __init__.py
│ │ └── speak.py
│ ├── rag.py
│ ├── reasoning
│ │ ├── __init__.py
│ │ ├── reasoning.py
│ │ ├── refine.py
│ │ └── reflection.py
│ ├── requirements.txt
│ ├── router.py
│ ├── tests
│ └── utils
│ ├── config.py
│ ├── __init__.py
│ ├── log_utils.py
│ └── schema.py
├── deprecated.env.txt
├── DEPRECATED_FILES.md
├── docker-compose.yml
├── .env
├── .gitignore
├── intake
│   ├── Dockerfile
│   ├── .env
│   ├── intake.py
│   ├── logs
│   ├── requirements.txt
│   └── venv
│   ├── bin
│   │   ├── python -> python3
│   │   ├── python3 -> /usr/bin/python3
│   │   └── python3.10 -> python3
│   ├── include
│   ├── lib
│   │   └── python3.10
│   │   └── site-packages
│   ├── lib64 -> lib
│   └── pyvenv.cfg
├── docs
│ ├── ARCHITECTURE_v0-6-0.md
│ ├── ENVIRONMENT_VARIABLES.md
│ ├── lyra_tree.txt
│ └── PROJECT_SUMMARY.md
├── intake-logs
│   └── summaries.log
├── lyra_tree.txt
│ └── summaries.log
├── neomem
│   ├── _archive
│   │   └── old_servers
│   │   ├── main_backup.py
│   │   └── main_dev.py
│   ├── docker-compose.yml
│   ├── Dockerfile
│   ├── .env
│   ├── .gitignore
│   ├── neomem
│   │   ├── api
│   │   ├── client
│   │   │   ├── __init__.py
│   │   │   ├── main.py
│   │   │   ├── project.py
│   │   │   └── utils.py
│   │   ├── configs
│   │   │   ├── base.py
│   │   │   ├── embeddings
│   │   │   │   ├── base.py
│   │   │   │   └── __init__.py
│   │   │   ├── enums.py
│   │   │   ├── __init__.py
│   │   │   ├── llms
│   │   │   │   ├── anthropic.py
│   │   │   │   ├── aws_bedrock.py
│   │   │   │   ├── azure.py
│   │   │   │   ├── base.py
│   │   │   │   ├── deepseek.py
│   │   │   │   ├── __init__.py
│   │   │   │   ├── lmstudio.py
│   │   │   │   ├── ollama.py
│   │   │   │   ├── openai.py
│   │   │   │   └── vllm.py
│   │   │   ├── prompts.py
│   │   │   └── vector_stores
│   │   │   ├── azure_ai_search.py
│   │   │   ├── azure_mysql.py
│   │   │   ├── baidu.py
│   │   │   ├── chroma.py
│   │   │   ├── databricks.py
│   │   │   ├── elasticsearch.py
│   │   │   ├── faiss.py
│   │   │   ├── __init__.py
│   │   │   ├── langchain.py
│   │   │   ├── milvus.py
│   │   │   ├── mongodb.py
│   │   │   ├── neptune.py
│   │   │   ├── opensearch.py
│   │   │   ├── pgvector.py
│   │   │   ├── pinecone.py
│   │   │   ├── qdrant.py
│   │   │   ├── redis.py
│   │   │   ├── s3_vectors.py
│   │   │   ├── supabase.py
│   │   │   ├── upstash_vector.py
│   │   │   ├── valkey.py
│   │   │   ├── vertex_ai_vector_search.py
│   │   │   └── weaviate.py
│   │   ├── core
│   │   ├── embeddings
│   │   │   ├── aws_bedrock.py
│   │   │   ├── azure_openai.py
│   │   │   ├── base.py
│   │   │   ├── configs.py
│   │   │   ├── gemini.py
│   │   │   ├── huggingface.py
│   │   │   ├── __init__.py
│   │   │   ├── langchain.py
│   │   │   ├── lmstudio.py
│   │   │   ├── mock.py
│   │   │   ├── ollama.py
│   │   │   ├── openai.py
│   │   │   ├── together.py
│   │   │   └── vertexai.py
│   │   ├── exceptions.py
│   │   ├── graphs
│   │   │   ├── configs.py
│   │   │   ├── __init__.py
│   │   │   ├── neptune
│   │   │   │   ├── base.py
│   │   │   │   ├── __init__.py
│   │   │   │   ├── neptunedb.py
│   │   │   │   └── neptunegraph.py
│   │   │   ├── tools.py
│   │   │   └── utils.py
│   │   ├── __init__.py
│   │   ├── LICENSE
│   │   ├── llms
│   │   │   ├── anthropic.py
│   │   │   ├── aws_bedrock.py
│   │   │   ├── azure_openai.py
│   │   │   ├── azure_openai_structured.py
│   │   │   ├── base.py
│   │   │   ├── configs.py
│   │   │   ├── deepseek.py
│   │   │   ├── gemini.py
│   │   │   ├── groq.py
│   │   │   ├── __init__.py
│   │   │   ├── langchain.py
│   │   │   ├── litellm.py
│   │   │   ├── lmstudio.py
│   │   │   ├── ollama.py
│   │   │   ├── openai.py
│   │   │   ├── openai_structured.py
│   │   │   ├── sarvam.py
│   │   │   ├── together.py
│   │   │   ├── vllm.py
│   │   │   └── xai.py
│   │   ├── memory
│   │   │   ├── base.py
│   │   │   ├── graph_memory.py
│   │   │   ├── __init__.py
│   │   │   ├── kuzu_memory.py
│   │   │   ├── main.py
│   │   │   ├── memgraph_memory.py
│   │   │   ├── setup.py
│   │   │   ├── storage.py
│   │   │   ├── telemetry.py
│   │   │   └── utils.py
│   │   ├── proxy
│   │   │   ├── __init__.py
│   │   │   └── main.py
│   │   ├── server
│   │   │   ├── dev.Dockerfile
│   │   │   ├── docker-compose.yaml
│   │   │   ├── Dockerfile
│   │   │   ├── main_old.py
│   │   │   ├── main.py
│   │   │   ├── Makefile
│   │   │   ├── README.md
│   │   │   └── requirements.txt
│   │   ├── storage
│   │   ├── utils
│   │   │   └── factory.py
│   │   └── vector_stores
│   │   ├── azure_ai_search.py
│   │   ├── azure_mysql.py
│   │   ├── baidu.py
│   │   ├── base.py
│   │   ├── chroma.py
│   │   ├── configs.py
│   │   ├── databricks.py
│   │   ├── elasticsearch.py
│   │   ├── faiss.py
│   │   ├── __init__.py
│   │   ├── langchain.py
│   │   ├── milvus.py
│   │   ├── mongodb.py
│   │   ├── neptune_analytics.py
│   │   ├── opensearch.py
│   │   ├── pgvector.py
│   │   ├── pinecone.py
│   │   ├── qdrant.py
│   │   ├── redis.py
│   │   ├── s3_vectors.py
│   │   ├── supabase.py
│   │   ├── upstash_vector.py
│   │   ├── valkey.py
│   │   ├── vertex_ai_vector_search.py
│   │   └── weaviate.py
│   ├── neomem_history
│   │   └── history.db
│   ├── pyproject.toml
│   ├── README.md
│   └── requirements.txt
│ ├── _archive
│ │ └── old_servers
│ │ ├── main_backup.py
│ │ └── main_dev.py
│ ├── docker-compose.yml
│ ├── Dockerfile
│ ├── neomem
│ │ ├── api
│ │ ├── client
│ │ │ ├── __init__.py
│ │ │ ├── main.py
│ │ │ ├── project.py
│ │ │ └── utils.py
│ │ ├── configs
│ │ │ ├── base.py
│ │ │ ├── embeddings
│ │ │ │ ├── base.py
│ │ │ │ └── __init__.py
│ │ │ ├── enums.py
│ │ │ ├── __init__.py
│ │ │ ├── llms
│ │ │ │ ├── anthropic.py
│ │ │ │ ├── aws_bedrock.py
│ │ │ │ ├── azure.py
│ │ │ │ ├── base.py
│ │ │ │ ├── deepseek.py
│ │ │ │ ├── __init__.py
│ │ │ │ ├── lmstudio.py
│ │ │ │ ├── ollama.py
│ │ │ │ ├── openai.py
│ │ │ │ └── vllm.py
│ │ │ ├── prompts.py
│ │ │ └── vector_stores
│ │ │ ├── azure_ai_search.py
│ │ │ ├── azure_mysql.py
│ │ │ ├── baidu.py
│ │ │ ├── chroma.py
│ │ │ ├── databricks.py
│ │ │ ├── elasticsearch.py
│ │ │ ├── faiss.py
│ │ │ ├── __init__.py
│ │ │ ├── langchain.py
│ │ │ ├── milvus.py
│ │ │ ├── mongodb.py
│ │ │ ├── neptune.py
│ │ │ ├── opensearch.py
│ │ │ ├── pgvector.py
│ │ │ ├── pinecone.py
│ │ │ ├── qdrant.py
│ │ │ ├── redis.py
│ │ │ ├── s3_vectors.py
│ │ │ ├── supabase.py
│ │ │ ├── upstash_vector.py
│ │ │ ├── valkey.py
│ │ │ ├── vertex_ai_vector_search.py
│ │ │ └── weaviate.py
│ │ ├── core
│ │ ├── embeddings
│ │ │ ├── aws_bedrock.py
│ │ │ ├── azure_openai.py
│ │ │ ├── base.py
│ │ │ ├── configs.py
│ │ │ ├── gemini.py
│ │ │ ├── huggingface.py
│ │ │ ├── __init__.py
│ │ │ ├── langchain.py
│ │ │ ├── lmstudio.py
│ │ │ ├── mock.py
│ │ │ ├── ollama.py
│ │ │ ├── openai.py
│ │ │ ├── together.py
│ │ │ └── vertexai.py
│ │ ├── exceptions.py
│ │ ├── graphs
│ │ │ ├── configs.py
│ │ │ ├── __init__.py
│ │ │ ├── neptune
│ │ │ │ ├── base.py
│ │ │ │ ├── __init__.py
│ │ │ │ ├── neptunedb.py
│ │ │ │ └── neptunegraph.py
│ │ │ ├── tools.py
│ │ │ └── utils.py
│ │ ├── __init__.py
│ │ ├── LICENSE
│ │ ├── llms
│ │ │ ├── anthropic.py
│ │ │ ├── aws_bedrock.py
│ │ │ ├── azure_openai.py
│ │ │ ├── azure_openai_structured.py
│ │ │ ├── base.py
│ │ │ ├── configs.py
│ │ │ ├── deepseek.py
│ │ │ ├── gemini.py
│ │ │ ├── groq.py
│ │ │ ├── __init__.py
│ │ │ ├── langchain.py
│ │ │ ├── litellm.py
│ │ │ ├── lmstudio.py
│ │ │ ├── ollama.py
│ │ │ ├── openai.py
│ │ │ ├── openai_structured.py
│ │ │ ├── sarvam.py
│ │ │ ├── together.py
│ │ │ ├── vllm.py
│ │ │ └── xai.py
│ │ ├── memory
│ │ │ ├── base.py
│ │ │ ├── graph_memory.py
│ │ │ ├── __init__.py
│ │ │ ├── kuzu_memory.py
│ │ │ ├── main.py
│ │ │ ├── memgraph_memory.py
│ │ │ ├── setup.py
│ │ │ ├── storage.py
│ │ │ ├── telemetry.py
│ │ │ └── utils.py
│ │ ├── proxy
│ │ │ ├── __init__.py
│ │ │ └── main.py
│ │ ├── server
│ │ │ ├── dev.Dockerfile
│ │ │ ├── docker-compose.yaml
│ │ │ ├── Dockerfile
│ │ │ ├── main_old.py
│ │ │ ├── main.py
│ │ │ ├── Makefile
│ │ │ ├── README.md
│ │ │ └── requirements.txt
│ │ ├── storage
│ │ ├── utils
│ │ │ └── factory.py
│ │ └── vector_stores
│ │ ├── azure_ai_search.py
│ │ ├── azure_mysql.py
│ │ ├── baidu.py
│ │ ├── base.py
│ │ ├── chroma.py
│ │ ├── configs.py
│ │ ├── databricks.py
│ │ ├── elasticsearch.py
│ │ ├── faiss.py
│ │ ├── __init__.py
│ │ ├── langchain.py
│ │ ├── milvus.py
│ │ ├── mongodb.py
│ │ ├── neptune_analytics.py
│ │ ├── opensearch.py
│ │ ├── pgvector.py
│ │ ├── pinecone.py
│ │ ├── qdrant.py
│ │ ├── redis.py
│ │ ├── s3_vectors.py
│ │ ├── supabase.py
│ │ ├── upstash_vector.py
│ │ ├── valkey.py
│ │ ├── vertex_ai_vector_search.py
│ │ └── weaviate.py
│ ├── neomem_history
│ │ └── history.db
│ ├── pyproject.toml
│ ├── README.md
│ └── requirements.txt
├── neomem_history
│   └── history.db
│ └── history.db
├── rag
│   ├── chatlogs
│   │   └── lyra
│   │   ├── 0000_Wire_ROCm_to_Cortex.json
│   │   ├── 0001_Branch___10_22_ct201branch-ssh_tut.json
│   │   ├── 0002_cortex_LLMs_11-1-25.json
│   │   ├── 0003_RAG_beta.json
│   │   ├── 0005_Cortex_v0_4_0_planning.json
│   │   ├── 0006_Cortex_v0_4_0_Refinement.json
│   │   ├── 0009_Branch___Cortex_v0_4_0_planning.json
│   │   ├── 0012_Cortex_4_-_neomem_11-1-25.json
│   │   ├── 0016_Memory_consolidation_concept.json
│   │   ├── 0017_Model_inventory_review.json
│   │   ├── 0018_Branch___Memory_consolidation_concept.json
│   │   ├── 0022_Branch___Intake_conversation_summaries.json
│   │   ├── 0026_Intake_conversation_summaries.json
│   │   ├── 0027_Trilium_AI_LLM_setup.json
│   │   ├── 0028_LLMs_and_sycophancy_levels.json
│   │   ├── 0031_UI_improvement_plan.json
│   │   ├── 0035_10_27-neomem_update.json
│   │   ├── 0044_Install_llama_cpp_on_ct201.json
│   │   ├── 0045_AI_task_assistant.json
│   │   ├── 0047_Project_scope_creation.json
│   │   ├── 0052_View_docker_container_logs.json
│   │   ├── 0053_10_21-Proxmox_fan_control.json
│   │   ├── 0054_10_21-pytorch_branch_Quant_experiments.json
│   │   ├── 0055_10_22_ct201branch-ssh_tut.json
│   │   ├── 0060_Lyra_project_folder_issue.json
│   │   ├── 0062_Build_pytorch_API.json
│   │   ├── 0063_PokerBrain_dataset_structure.json
│   │   ├── 0065_Install_PyTorch_setup.json
│   │   ├── 0066_ROCm_PyTorch_setup_quirks.json
│   │   ├── 0067_VM_model_setup_steps.json
│   │   ├── 0070_Proxmox_disk_error_fix.json
│   │   ├── 0072_Docker_Compose_vs_Portainer.json
│   │   ├── 0073_Check_system_temps_Proxmox.json
│   │   ├── 0075_Cortex_gpu_progress.json
│   │   ├── 0076_Backup_Proxmox_before_upgrade.json
│   │   ├── 0077_Storage_cleanup_advice.json
│   │   ├── 0082_Install_ROCm_on_Proxmox.json
│   │   ├── 0088_Thalamus_program_summary.json
│   │   ├── 0094_Cortex_blueprint_development.json
│   │   ├── 0095_mem0_advancments.json
│   │   ├── 0096_Embedding_provider_swap.json
│   │   ├── 0097_Update_git_commit_steps.json
│   │   ├── 0098_AI_software_description.json
│   │   ├── 0099_Seed_memory_process.json
│   │   ├── 0100_Set_up_Git_repo.json
│   │   ├── 0101_Customize_embedder_setup.json
│   │   ├── 0102_Seeding_Local_Lyra_memory.json
│   │   ├── 0103_Mem0_seeding_part_3.json
│   │   ├── 0104_Memory_build_prompt.json
│   │   ├── 0105_Git_submodule_setup_guide.json
│   │   ├── 0106_Serve_UI_on_LAN.json
│   │   ├── 0107_AI_name_suggestion.json
│   │   ├── 0108_Room_X_planning_update.json
│   │   ├── 0109_Salience_filtering_design.json
│   │   ├── 0110_RoomX_Cortex_build.json
│   │   ├── 0119_Explain_Lyra_cortex_idea.json
│   │   ├── 0120_Git_submodule_organization.json
│   │   ├── 0121_Web_UI_fix_guide.json
│   │   ├── 0122_UI_development_planning.json
│   │   ├── 0123_NVGRAM_debugging_steps.json
│   │   ├── 0124_NVGRAM_setup_troubleshooting.json
│   │   ├── 0125_NVGRAM_development_update.json
│   │   ├── 0126_RX_-_NeVGRAM_New_Features.json
│   │   ├── 0127_Error_troubleshooting_steps.json
│   │   ├── 0135_Proxmox_backup_with_ABB.json
│   │   ├── 0151_Auto-start_Lyra-Core_VM.json
│   │   ├── 0156_AI_GPU_benchmarks_comparison.json
│   │   └── 0251_Lyra_project_handoff.json
│   ├── chromadb
│   │   ├── c4f701ee-1978-44a1-9df4-3e865b5d33c1
│   │   │   ├── data_level0.bin
│   │   │   ├── header.bin
│   │   │   ├── index_metadata.pickle
│   │   │   ├── length.bin
│   │   │   └── link_lists.bin
│   │   └── chroma.sqlite3
│   ├── .env
│   ├── import.log
│   ├── lyra-chatlogs
│   │   ├── 0000_Wire_ROCm_to_Cortex.json
│   │   ├── 0001_Branch___10_22_ct201branch-ssh_tut.json
│   │   ├── 0002_cortex_LLMs_11-1-25.json
│   │   └── 0003_RAG_beta.json
│   ├── rag_api.py
│   ├── rag_build.py
│   ├── rag_chat_import.py
│   └── rag_query.py
│ ├── chatlogs
│ │ └── lyra
│ │ ├── 0000_Wire_ROCm_to_Cortex.json
│ │ ├── 0001_Branch___10_22_ct201branch-ssh_tut.json
│ │ ├── 0002_cortex_LLMs_11-1-25.json
│ │ ├── 0003_RAG_beta.json
│ │ ├── 0005_Cortex_v0_4_0_planning.json
│ │ ├── 0006_Cortex_v0_4_0_Refinement.json
│ │ ├── 0009_Branch___Cortex_v0_4_0_planning.json
│ │ ├── 0012_Cortex_4_-_neomem_11-1-25.json
│ │ ├── 0016_Memory_consolidation_concept.json
│ │ ├── 0017_Model_inventory_review.json
│ │ ├── 0018_Branch___Memory_consolidation_concept.json
│ │ ├── 0022_Branch___Intake_conversation_summaries.json
│ │ ├── 0026_Intake_conversation_summaries.json
│ │ ├── 0027_Trilium_AI_LLM_setup.json
│ │ ├── 0028_LLMs_and_sycophancy_levels.json
│ │ ├── 0031_UI_improvement_plan.json
│ │ ├── 0035_10_27-neomem_update.json
│ │ ├── 0044_Install_llama_cpp_on_ct201.json
│ │ ├── 0045_AI_task_assistant.json
│ │ ├── 0047_Project_scope_creation.json
│ │ ├── 0052_View_docker_container_logs.json
│ │ ├── 0053_10_21-Proxmox_fan_control.json
│ │ ├── 0054_10_21-pytorch_branch_Quant_experiments.json
│ │ ├── 0055_10_22_ct201branch-ssh_tut.json
│ │ ├── 0060_Lyra_project_folder_issue.json
│ │ ├── 0062_Build_pytorch_API.json
│ │ ├── 0063_PokerBrain_dataset_structure.json
│ │ ├── 0065_Install_PyTorch_setup.json
│ │ ├── 0066_ROCm_PyTorch_setup_quirks.json
│ │ ├── 0067_VM_model_setup_steps.json
│ │ ├── 0070_Proxmox_disk_error_fix.json
│ │ ├── 0072_Docker_Compose_vs_Portainer.json
│ │ ├── 0073_Check_system_temps_Proxmox.json
│ │ ├── 0075_Cortex_gpu_progress.json
│ │ ├── 0076_Backup_Proxmox_before_upgrade.json
│ │ ├── 0077_Storage_cleanup_advice.json
│ │ ├── 0082_Install_ROCm_on_Proxmox.json
│ │ ├── 0088_Thalamus_program_summary.json
│ │ ├── 0094_Cortex_blueprint_development.json
│ │ ├── 0095_mem0_advancments.json
│ │ ├── 0096_Embedding_provider_swap.json
│ │ ├── 0097_Update_git_commit_steps.json
│ │ ├── 0098_AI_software_description.json
│ │ ├── 0099_Seed_memory_process.json
│ │ ├── 0100_Set_up_Git_repo.json
│ │ ├── 0101_Customize_embedder_setup.json
│ │ ├── 0102_Seeding_Local_Lyra_memory.json
│ │ ├── 0103_Mem0_seeding_part_3.json
│ │ ├── 0104_Memory_build_prompt.json
│ │ ├── 0105_Git_submodule_setup_guide.json
│ │ ├── 0106_Serve_UI_on_LAN.json
│ │ ├── 0107_AI_name_suggestion.json
│ │ ├── 0108_Room_X_planning_update.json
│ │ ├── 0109_Salience_filtering_design.json
│ │ ├── 0110_RoomX_Cortex_build.json
│ │ ├── 0119_Explain_Lyra_cortex_idea.json
│ │ ├── 0120_Git_submodule_organization.json
│ │ ├── 0121_Web_UI_fix_guide.json
│ │ ├── 0122_UI_development_planning.json
│ │ ├── 0123_NVGRAM_debugging_steps.json
│ │ ├── 0124_NVGRAM_setup_troubleshooting.json
│ │ ├── 0125_NVGRAM_development_update.json
│ │ ├── 0126_RX_-_NeVGRAM_New_Features.json
│ │ ├── 0127_Error_troubleshooting_steps.json
│ │ ├── 0135_Proxmox_backup_with_ABB.json
│ │ ├── 0151_Auto-start_Lyra-Core_VM.json
│ │ ├── 0156_AI_GPU_benchmarks_comparison.json
│ │ └── 0251_Lyra_project_handoff.json
│ ├── chromadb
│ │ ├── c4f701ee-1978-44a1-9df4-3e865b5d33c1
│ │ │ ├── data_level0.bin
│ │ │ ├── header.bin
│ │ │ ├── index_metadata.pickle
│ │ │ ├── length.bin
│ │ │ └── link_lists.bin
│ │ └── chroma.sqlite3
│ ├── import.log
│ ├── lyra-chatlogs
│ │ ├── 0000_Wire_ROCm_to_Cortex.json
│ │ ├── 0001_Branch___10_22_ct201branch-ssh_tut.json
│ │ ├── 0002_cortex_LLMs_11-1-25.json
│ │ └── 0003_RAG_beta.json
│ ├── rag_api.py
│ ├── rag_build.py
│ ├── rag_chat_import.py
│ └── rag_query.py
├── README.md
├── vllm-mi50.md
└── volumes
├── neo4j_data
│   ├── databases
│   │   ├── neo4j
│   │   │   ├── database_lock
│   │   │   ├── id-buffer.tmp.0
│   │   │   ├── neostore
│   │   │   ├── neostore.counts.db
│   │   │   ├── neostore.indexstats.db
│   │   │   ├── neostore.labeltokenstore.db
│   │   │   ├── neostore.labeltokenstore.db.id
│   │   │   ├── neostore.labeltokenstore.db.names
│   │   │   ├── neostore.labeltokenstore.db.names.id
│   │   │   ├── neostore.nodestore.db
│   │   │   ├── neostore.nodestore.db.id
│   │   │   ├── neostore.nodestore.db.labels
│   │   │   ├── neostore.nodestore.db.labels.id
│   │   │   ├── neostore.propertystore.db
│   │   │   ├── neostore.propertystore.db.arrays
│   │   │   ├── neostore.propertystore.db.arrays.id
│   │   │   ├── neostore.propertystore.db.id
│   │   │   ├── neostore.propertystore.db.index
│   │   │   ├── neostore.propertystore.db.index.id
│   │   │   ├── neostore.propertystore.db.index.keys
│   │   │   ├── neostore.propertystore.db.index.keys.id
│   │   │   ├── neostore.propertystore.db.strings
│   │   │   ├── neostore.propertystore.db.strings.id
│   │   │   ├── neostore.relationshipgroupstore.db
│   │   │   ├── neostore.relationshipgroupstore.db.id
│   │   │   ├── neostore.relationshipgroupstore.degrees.db
│   │   │   ├── neostore.relationshipstore.db
│   │   │   ├── neostore.relationshipstore.db.id
│   │   │   ├── neostore.relationshiptypestore.db
│   │   │   ├── neostore.relationshiptypestore.db.id
│   │   │   ├── neostore.relationshiptypestore.db.names
│   │   │   ├── neostore.relationshiptypestore.db.names.id
│   │   │   ├── neostore.schemastore.db
│   │   │   ├── neostore.schemastore.db.id
│   │   │   └── schema
│   │   │   └── index
│   │   │   └── token-lookup-1.0
│   │   │   ├── 1
│   │   │   │   └── index-1
│   │   │   └── 2
│   │   │   └── index-2
│   │   ├── store_lock
│   │   └── system
│   │   ├── database_lock
│   │   ├── id-buffer.tmp.0
│   │   ├── neostore
│   │   ├── neostore.counts.db
│   │   ├── neostore.indexstats.db
│   │   ├── neostore.labeltokenstore.db
│   │   ├── neostore.labeltokenstore.db.id
│   │   ├── neostore.labeltokenstore.db.names
│   │   ├── neostore.labeltokenstore.db.names.id
│   │   ├── neostore.nodestore.db
│   │   ├── neostore.nodestore.db.id
│   │   ├── neostore.nodestore.db.labels
│   │   ├── neostore.nodestore.db.labels.id
│   │   ├── neostore.propertystore.db
│   │   ├── neostore.propertystore.db.arrays
│   │   ├── neostore.propertystore.db.arrays.id
│   │   ├── neostore.propertystore.db.id
│   │   ├── neostore.propertystore.db.index
│   │   ├── neostore.propertystore.db.index.id
│   │   ├── neostore.propertystore.db.index.keys
│   │   ├── neostore.propertystore.db.index.keys.id
│   │   ├── neostore.propertystore.db.strings
│   │   ├── neostore.propertystore.db.strings.id
│   │   ├── neostore.relationshipgroupstore.db
│   │   ├── neostore.relationshipgroupstore.db.id
│   │   ├── neostore.relationshipgroupstore.degrees.db
│   │   ├── neostore.relationshipstore.db
│   │   ├── neostore.relationshipstore.db.id
│   │   ├── neostore.relationshiptypestore.db
│   │   ├── neostore.relationshiptypestore.db.id
│   │   ├── neostore.relationshiptypestore.db.names
│   │   ├── neostore.relationshiptypestore.db.names.id
│   │   ├── neostore.schemastore.db
│   │   ├── neostore.schemastore.db.id
│   │   └── schema
│   │   └── index
│   │   ├── range-1.0
│   │   │   ├── 3
│   │   │   │   └── index-3
│   │   │   ├── 4
│   │   │   │   └── index-4
│   │   │   ├── 7
│   │   │   │   └── index-7
│   │   │   ├── 8
│   │   │   │   └── index-8
│   │   │   └── 9
│   │   │   └── index-9
│   │   └── token-lookup-1.0
│   │   ├── 1
│   │   │   └── index-1
│   │   └── 2
│   │   └── index-2
│   ├── dbms
│   │   └── auth.ini
│   ├── server_id
│   └── transactions
│   ├── neo4j
│   │   ├── checkpoint.0
│   │   └── neostore.transaction.db.0
│   └── system
│   ├── checkpoint.0
│   └── neostore.transaction.db.0
│ ├── databases
│ │ ├── neo4j
│ │ │ ├── database_lock
│ │ │ ├── id-buffer.tmp.0
│ │ │ ├── neostore
│ │ │ ├── neostore.counts.db
│ │ │ ├── neostore.indexstats.db
│ │ │ ├── neostore.labeltokenstore.db
│ │ │ ├── neostore.labeltokenstore.db.id
│ │ │ ├── neostore.labeltokenstore.db.names
│ │ │ ├── neostore.labeltokenstore.db.names.id
│ │ │ ├── neostore.nodestore.db
│ │ │ ├── neostore.nodestore.db.id
│ │ │ ├── neostore.nodestore.db.labels
│ │ │ ├── neostore.nodestore.db.labels.id
│ │ │ ├── neostore.propertystore.db
│ │ │ ├── neostore.propertystore.db.arrays
│ │ │ ├── neostore.propertystore.db.arrays.id
│ │ │ ├── neostore.propertystore.db.id
│ │ │ ├── neostore.propertystore.db.index
│ │ │ ├── neostore.propertystore.db.index.id
│ │ │ ├── neostore.propertystore.db.index.keys
│ │ │ ├── neostore.propertystore.db.index.keys.id
│ │ │ ├── neostore.propertystore.db.strings
│ │ │ ├── neostore.propertystore.db.strings.id
│ │ │ ├── neostore.relationshipgroupstore.db
│ │ │ ├── neostore.relationshipgroupstore.db.id
│ │ │ ├── neostore.relationshipgroupstore.degrees.db
│ │ │ ├── neostore.relationshipstore.db
│ │ │ ├── neostore.relationshipstore.db.id
│ │ │ ├── neostore.relationshiptypestore.db
│ │ │ ├── neostore.relationshiptypestore.db.id
│ │ │ ├── neostore.relationshiptypestore.db.names
│ │ │ ├── neostore.relationshiptypestore.db.names.id
│ │ │ ├── neostore.schemastore.db
│ │ │ ├── neostore.schemastore.db.id
│ │ │ └── schema
│ │ │ └── index
│ │ │ └── token-lookup-1.0
│ │ │ ├── 1
│ │ │ │ └── index-1
│ │ │ └── 2
│ │ │ └── index-2
│ │ ├── store_lock
│ │ └── system
│ │ ├── database_lock
│ │ ├── id-buffer.tmp.0
│ │ ├── neostore
│ │ ├── neostore.counts.db
│ │ ├── neostore.indexstats.db
│ │ ├── neostore.labeltokenstore.db
│ │ ├── neostore.labeltokenstore.db.id
│ │ ├── neostore.labeltokenstore.db.names
│ │ ├── neostore.labeltokenstore.db.names.id
│ │ ├── neostore.nodestore.db
│ │ ├── neostore.nodestore.db.id
│ │ ├── neostore.nodestore.db.labels
│ │ ├── neostore.nodestore.db.labels.id
│ │ ├── neostore.propertystore.db
│ │ ├── neostore.propertystore.db.arrays
│ │ ├── neostore.propertystore.db.arrays.id
│ │ ├── neostore.propertystore.db.id
│ │ ├── neostore.propertystore.db.index
│ │ ├── neostore.propertystore.db.index.id
│ │ ├── neostore.propertystore.db.index.keys
│ │ ├── neostore.propertystore.db.index.keys.id
│ │ ├── neostore.propertystore.db.strings
│ │ ├── neostore.propertystore.db.strings.id
│ │ ├── neostore.relationshipgroupstore.db
│ │ ├── neostore.relationshipgroupstore.db.id
│ │ ├── neostore.relationshipgroupstore.degrees.db
│ │ ├── neostore.relationshipstore.db
│ │ ├── neostore.relationshipstore.db.id
│ │ ├── neostore.relationshiptypestore.db
│ │ ├── neostore.relationshiptypestore.db.id
│ │ ├── neostore.relationshiptypestore.db.names
│ │ ├── neostore.relationshiptypestore.db.names.id
│ │ ├── neostore.schemastore.db
│ │ ├── neostore.schemastore.db.id
│ │ └── schema
│ │ └── index
│ │ ├── range-1.0
│ │ │ ├── 3
│ │ │ │ └── index-3
│ │ │ ├── 4
│ │ │ │ └── index-4
│ │ │ ├── 7
│ │ │ │ └── index-7
│ │ │ ├── 8
│ │ │ │ └── index-8
│ │ │ └── 9
│ │ │ └── index-9
│ │ └── token-lookup-1.0
│ │ ├── 1
│ │ │ └── index-1
│ │ └── 2
│ │ └── index-2
│ ├── dbms
│ │ └── auth.ini
│ ├── server_id
│ └── transactions
│ ├── neo4j
│ │ ├── checkpoint.0
│ │ └── neostore.transaction.db.0
│ └── system
│ ├── checkpoint.0
│ └── neostore.transaction.db.0
└── postgres_data [error opening dir]
81 directories, 376 files