zzm-agent 0.1.2

A sleek and professional agentic coding console and CLI assistant.

zzm-agent

A local-first personal coding agent and CLI for OpenAI-compatible chat models.

zzm-agent gives you an interactive REPL for project work, a non-interactive exec mode for scripts and CI, persistent sessions, semantic memory, prompt snapshots, and plugin-based tools for files, search, and shell commands.

Install

pip install zzm-agent

Requires Python 3.11 or newer.

First Run

Start the REPL:

zzm-agent

On the first interactive run, zzm-agent asks for:

• Base URL, for example https://api.openai.com/v1
• Model name, for example gpt-4o-mini
• LLM API key

It creates user-level configuration:

~/.zzm_agent/config.yaml
~/.zzm_agent/.env

Secrets are written to .env; config.yaml keeps references such as ${LLM_API_KEY}.

You can also use existing environment variables:

LLM_BASE_URL=https://api.openai.com/v1
LLM_MODEL_NAME=gpt-4o-mini
LLM_API_KEY=your_api_key_here

Usage

Interactive REPL:

zzm-agent
zzm-agent repl --session my-session
zzm-agent repl --config path/to/config.yaml

Non-interactive one-shot tasks:

zzm-agent exec "summarize this repository"
zzm-agent exec --stdin < prompt.txt
zzm-agent exec --json "review the latest changes"
zzm-agent exec -o answer.md "write release notes"

In exec mode, medium and high risk tools are denied instead of prompting, so CI jobs and scripts do not hang on interactive approvals.

Shell completion:

zzm-agent completion bash
zzm-agent completion zsh
zzm-agent completion powershell

Configuration

Config resolution:

1. --config <path>
2. ZZM_AGENT_CONFIG
3. ~/.zzm_agent/config.yaml
4. repository config.yaml
5. ./config.yaml
6. ./.zzm_agent/config.local.yaml

.env files are loaded from the current directory and next to each loaded config file before ${ENV_NAME} placeholders are expanded.

Minimal config:

model:
  base_url: "${LLM_BASE_URL:-https://api.openai.com/v1}"
  api_key: "${LLM_API_KEY}"
  model_name: "${LLM_MODEL_NAME:-gpt-4o-mini}"

agent:
  stream: true
  auto_approve: false

memory:
  path: "~/.zzm_agent/memory.json"
  max_history: 50

REPL Commands

Useful commands inside the REPL:

• /help
• /tools
• /models [filter]
• /model [id]
• /config
• /memory
• /sessions
• /session <id>
• /new
• /remember <fact>
• /search <keyword>
• /evolve run
• /exit

Project Links

Source repository and full documentation are available in the project README.