Eai

Extreme minimal AI assistant — a pragmatic engineer's companion with a real Linux terminal, recursive sub‑agents, and a graph‑based memory engine.

Quick Start

# Install deps
mix deps.get && mix compile
pip3 install -r priv/scripts/requirements.txt

# Set API key
export OPENAI_API_KEY=sk-...
# (also ANTHROPIC_API_KEY if using Claude)

# Launch
iex -S mix

Basic Usage

# Interactive multi‑line chat (send with /s, cancel with /c)
Eai.Chat.talk()

# One‑shot question
Eai.Chat.talk(content: "List files", mod: :f)

# Switch model or persona
Eai.Chat.talk(model: :claude_sonnet, prompt: :coder, content: "Refactor this")
Eai.Chat.talk(chat_session: "work", content: "Setup CI")   # isolated session

Models & Prompts

Defined in config/models.exs and config/prompts.exs. List what's available:

Eai.Models.names()   # => [:deepseek, :gpt4o, :claude_sonnet, …]
Eai.Prompts.list()   # => :momoka, :coder, :analyst

Tools

All tools live in config/tools/ and are called autonomously by the agent.

Tool Purpose execute_script Run bash asynchronously → returns task_id get_task_result Poll async output call_subagent Dispatch a sub‑task to an independent agent write_to_session Send raw input to a PTY (e.g. Ctrl‑C) read_media_file Extract images/frames; optional vision analysis export_context / replace_context Save/load conversation history (gzip)

Graph‑based Memory

Agents write RDF‑style triples <<{subject, predicate, object}. into files (e.g. TRANSITION.md). Query them with:

python priv/scripts/dispatch.py <file_or_dir> path A B
python priv/scripts/dispatch.py <file_or_dir> query A B 5

Configuration

Key settings in config/config.exs:

config :eai, :sandbox, work_dir_root: "/home/eai_agents"
config :eai, :poll_cooldown_ms, 5_000   # min polling interval

Set EAI_DEBUG_PTY=1 to see raw PTY output.

Adding a Custom Model

Edit config/models.exs:

[
  name: :my_llama,
  model: "llama3",
  url: "http://localhost:11434/v1/chat/completions",
  provider: :openai_compat,
  api_key_env: nil    # no key needed
]

Architecture (1‑liner)

Eai.Chat → Eai.LLM.Direct (adapter → API) → tool loop → Eai.Sandbox.PTYPool + ResultCollector.

License

Apache-2.0