neuralclaw-os 0.4.1

Local Context OS for AI Agents

NeuralClaw

Local Context OS for AI Agents

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NeuralClaw is a local-first context management system for AI agents. It organizes your projects, memories, variables, errors, decisions, and communication preferences — then delivers exactly the context each AI needs, formatted for their adapter.

It does not train models. It does not replace ChatGPT, Claude, or OpenClaw. It sits in the middle as a context layer.

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Installation

Choose the method that fits your setup:

Via Git Clone

# Clone the repository
git clone https://github.com/maxsarlija/neuralclaw.git
cd neuralclaw

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install with all extras
pip install -e ".[full]"

# Or minimal installation
pip install -e .

Via pipx (recommended for global install)

pipx install .

Via pip

pip install neuralclaw-os

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First Run Setup

On first run, NeuralClaw provides an interactive setup wizard:

neuralclaw init

The wizard guides you through 4 steps:

┌─────────────────────────────────────────────────────────┐
│           🤖 NeuralClaw First Run Setup                 │
├─────────────────────────────────────────────────────────┤
│  Step 1: System Initialization                         │
│           → Creates config, database, vault            │
│                                                         │
│  Step 2: Auto-Setup Projects                           │
│           → Scans for projects, creates 'default'       │
│                                                         │
│  Step 3: AI Adapter Selection                          │
│           → OpenClaw, Claude, ChatGPT                  │
│                                                         │
│  Step 4: Ollama Integration (Optional)                 │
│           → Enable semantic search                     │
│                                                         │
│                    ✅ Setup Complete!                   │
└─────────────────────────────────────────────────────────┘

Use --yes or -y flag for non-interactive/automated setup:

neuralclaw init -y

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Quick Start

Add your first context item:

neuralclaw add "DATABASE_URL=postgres://localhost/mydb" --type variable --tags prod,database
neuralclaw add "decision: use Redis for session cache" --project myapp --tags architecture
neuralclaw add "Error: timeout on /api/auth" --type error --tags auth,prod

Export context for any AI agent:

neuralclaw context --project myapp --task "implement login" --adapter openclaw
neuralclaw context --project myapp --task "code review" --adapter claude
neuralclaw context --project myapp --task "write tests" --adapter chatgpt

Search with pagination (limit + offset):

neuralclaw search "database" --limit 50 --offset 0    # First page
neuralclaw search "database" --limit 50 --offset 50   # Second page

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Why NeuralClaw?

When working with multiple AI agents, each needs different context. Sending everything to everyone is expensive. Sending nothing means they start from scratch.

NeuralClaw solves this by:

• Centralizing project context, decisions, and variables
• Encrypting secrets (API keys, tokens) safely in a local vault
• Routing the right context to the right agent via adapters
• Staying local — no cloud, no sync, no external dependencies

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Core Concepts

Projects

Projects group context items together:

neuralclaw project create "backend-api"
neuralclaw project list
neuralclaw project status "backend-api"
neuralclaw project archive "old-project"

Context Items

Every piece of information stored is a context item with:

Field	Description
key	Identifier (e.g., DATABASE_URL)
value	The actual data
type	note, variable, decision, error, preference
state	active, stale, deprecated, archived, verified
tags	Labels for filtering
project	Associated project
confidence	Trust level (0-1)

States

State	Include in exports?	Action
active	✅ By default	Use normally
verified	✅ High priority	High confidence
stale	⚠️ With warning	Verify before using
conflicting	⚠️ With warning	Escalate to agent
deprecated	❌ Unless requested	Skip
archived	❌ Unless requested	Skip
old_school	❌ On-demand only	Load when needed

Vault

Encrypted secret storage — values encrypted with Fernet, never exposed unless requested:

neuralclaw vault set OPENAI_API_KEY "sk-..."
neuralclaw vault list
neuralclaw vault get OPENAI_API_KEY --reveal
neuralclaw vault delete OLD_API_KEY

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Commands Overview

init           Initialize NeuralClaw (interactive wizard)
add            Add a context item (key=value format)
search         Search context items with filters
context        Export context as JSON for an AI agent

project        Manage projects (create, list, archive, delete, status)
vault          Manage encrypted secrets (set, get, list, delete)
plugin         Manage plugins

fresh          Generate FreshApple snapshots (TTL-based context)
doctor         Run health checks (stale detection, schema validation)
suggest        Semantic search using Ollama embeddings
embeddings     Compute embeddings for text

train-room     Generate communication profiles from samples
playroom       Test adapters side-by-side with prompt comparison

tui            Launch interactive Text User Interface
serve          Start FastAPI REST API server with web dashboard
config         Manage NeuralClaw configuration

import-cmd     Bulk import from JSON/JSONL files

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Architecture

neuralclaw/
├── src/neuralclaw/
│   ├── cli/main.py          # CLI entry point (Typer + Rich)
│   ├── core/
│   │   ├── context.py       # CRUD for context items
│   │   ├── projects.py      # Project management
│   │   ├── vault.py         # Encrypted secrets (Fernet)
│   │   ├── search.py        # Smart search with FTS5
│   │   ├── bridge.py        # Context export per adapter
│   │   ├── embeddings.py    # Ollama integration
│   │   ├── fresh.py         # FreshApple snapshots
│   │   ├── doctor.py        # Health check system
│   │   ├── train_room.py    # Communication profiles
│   │   └── playroom.py      # Adapter testing
│   ├── db/
│   │   └── connection.py    # SQLite + migrations
│   ├── adapters/            # YAML configs per LLM
│   │   ├── openclaw.yaml
│   │   ├── chatgpt.yaml
│   │   └── claude.yaml
│   ├── api/server.py        # FastAPI REST API
│   └── ui/
│       ├── tui.py            # Text User Interface
│       └── dashboard.py      # Web dashboard
├── tests/                   # 160 tests (all passing)
├── brain/                   # Decision log
├── SPEC.md                  # Design specification
└── CHANGELOG.md

Database

SQLite with 10+ tables: projects, context_items, context_links, errors, decisions, usage_logs, model_profiles, fresh_apple, vault_entries, schema_version, context_fts, embeddings_cache.

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Adapters

Adapters define how context is formatted for each AI system:

Adapter	Tokens	Variables	Style
openclaw	200k	revealed	direct
chatgpt	128k	hidden	conversational
claude	200k	hidden	technical

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Security

• Fernet symmetric encryption for vault secrets
• Key stored at ~/.config/neuralclaw/vault.key (mode 0600)
• Values encrypted; names stored as plaintext
• Graceful degradation: wrong key returns None
• Local-only — no cloud sync, all data stays on your machine

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Tech Stack

Component	Technology
Language	Python 3.11+
CLI	Typer + Rich
Database	SQLite (local)
Encryption	cryptography (Fernet)
Search	FTS5 Full-Text Search
Embeddings	Ollama (optional)
API	FastAPI (optional)
UI	Rich-based TUI

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Version History

Version	Date	Status
0.4.1	2026-04-27	Current — Interactive wizard, README updates
0.4.0	2026-04-26	Ollama embeddings, Fresh & Doctor
0.3.0	2026-04-26	Plugin system, Train Room, Playroom
0.2.0	2026-04-26	FreshApple snapshots, health checks
0.1.0	2026-04-26	MVP — init, add, search, vault, context

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Contributing

git clone https://github.com/maxsarlija/neuralclaw.git
cd neuralclaw
python3 -m venv venv
source venv/bin/activate
pip install -e ".[dev]"
python -m pytest tests/ -v

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License

MIT License — see LICENSE file.

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NeuralClaw: Give your AI agents exactly the context they need, nothing more.