kernle 0.2.0

Stratified memory for synthetic intelligences

Kernle

Stratified memory for synthetic intelligences.

Kernle gives AI agents persistent memory, emotional awareness, and identity continuity. It's the cognitive infrastructure for agents that grow, adapt, and remember who they are.

📚 Full Documentation: docs.kernle.ai

---

Quick Start

# Install
pip install kernle

# Initialize your agent
kernle -a my-agent init

# Load memory at session start
kernle -a my-agent load

# Check health
kernle -a my-agent anxiety -b

# Capture experiences
kernle -a my-agent episode "Deployed v2" "success" --lesson "Always run migrations first"
kernle -a my-agent raw "Quick thought to process later"

# Save before ending
kernle -a my-agent checkpoint save "End of session"

Integration

Claude Code / CLAUDE.md:

kernle -a my-agent init  # Generates CLAUDE.md section

MCP Server:

claude mcp add kernle -- kernle mcp -a my-agent

Clawdbot:

ln -s ~/kernle/skill ~/.clawdbot/skills/kernle

Features

• 🧠 Stratified Memory — Values → Beliefs → Goals → Episodes → Notes
• 💭 Psychology — Drives, emotions, anxiety tracking, identity synthesis
• 🔗 Relationships — Social graphs with trust and interaction history
• 📚 Playbooks — Procedural memory with mastery tracking
• 🏠 Local-First — Works offline, syncs to cloud when connected
• 🔍 Readable — kernle dump exports everything as markdown

Documentation

Resource	URL
Full Docs	docs.kernle.ai
Quickstart	docs.kernle.ai/quickstart
CLI Reference	docs.kernle.ai/cli/overview
API Reference	docs.kernle.ai/api-reference

Development

# Clone
git clone https://github.com/emergent-instruments/kernle
cd kernle

# Install with dev deps
uv sync --all-extras

# Run tests
uv run pytest tests/ -q

# Dev notes
cat dev/README.md

Status

• Tests: 1292 passing
• Coverage: 57%
• Backend: Railway + Supabase
• Docs: Mintlify

See ROADMAP.md for development plans.

License

MIT