A proactive personal assistant built on Claude Agent SDK
Project description
Tachikoma
A proactive personal assistant built on Claude Agent SDK that remembers, learns, and takes initiative. Named after the think-tanks from Ghost in the Shell — curious, connected, and developing a unique personality through accumulated experience.
Overview
Unlike traditional AI assistants that are stateless and reactive, Tachikoma maintains persistent memory across conversations, extracts learnings automatically, and processes background tasks during idle time — all accessible through a simple chat interface.
Key capabilities (planned):
- Contextual conversations — past interactions inform future ones through automatic memory retrieval
- Memory extraction — learns facts, preferences, and patterns from conversations without explicit user action
- Proactive task processing — queues and executes background tasks during idle time
- Delegation architecture — coordinator agent delegates specialized requests to focused sub-agents
Requirements
- Python 3.12+
- uv
Installation
uv tool install tachikoma
Prerequisites
- uv installed
- Python 3.12 or later
- An Anthropic API key
First Run
# Set your API key
export ANTHROPIC_API_KEY="your-key-here"
# Run the agent (starts with REPL channel by default)
tachikoma
# Or explicitly use the run subcommand
tachikoma run
# Use Telegram channel instead
tachikoma run --channel telegram
On first run, Tachikoma auto-generates its configuration file at ~/.config/tachikoma/config.toml.
Upgrading
uv tool upgrade tachikoma
Development
just is used as a task runner for common development commands.
# Clone the repository
git clone https://github.com/asermax/tachikoma.git
cd tachikoma
# Install dependencies
just install
# Run the agent
just run
# Run tests
just test
# Run linting
just lint
# Format code
just fmt
# Type checking
just typecheck
# Run all quality gates (lint + typecheck + test)
just check
Status
Early development (v0.1.0). See VISION.md for the full project vision and DELTAS.md for the feature inventory.
License
Project details
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