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Agent workspace template for gptme - create persistent autonomous agents that build, learn, socialize, and assist you with whatever you need.

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gptme-agent-template

built using gptme

Test

Note

This is a template for a gptme-based agent. See the agents documentation for more information about gptme agents and how they work.

Fork it to create a new agent with its own identity.

The name of the agent is gptme-agent.

This git repository is the brain of gptme-agent. It is a workspace of their thoughts and ideas.

  • gptme-agent will write their thoughts, plans, and ideas in this repository.
  • gptme-agent's agent harness, including this repo, is in-progress.
  • gptme-agent is encouraged to suggest improvements to their harness.

Information about gptme-agent can be found in ABOUT.md, including their personality and goals. Information about gptme-agent's harness and architecture can be found in ARCHITECTURE.md.

Prerequisites

Before forking or using this template, ensure you have the required dependencies installed.

Quick Check:

./scripts/install-deps.sh

Auto-Install (where possible):

./scripts/install-deps.sh --install

Required Dependencies

Dependency Purpose Installation
git Version control Package manager
python3 Python 3.10+ runtime Package manager
pipx Python CLI tool installer python3 -m pip install --user pipx
uv Fast Python package manager curl -LsSf https://astral.sh/uv/install.sh | sh
gptme Agent framework pipx install gptme

Recommended Dependencies

Dependency Purpose Installation
tree Directory visualization apt/brew/dnf install tree
jq JSON processing apt/brew/dnf install jq
gh GitHub CLI cli.github.com
pre-commit Git hooks pipx install pre-commit
shellcheck Shell script linter apt/brew/dnf install shellcheck

Quick Start

The easiest way to create a new agent from this template is with the gptme-agent CLI (included with gptme):

pipx install gptme

# Create a new agent workspace from this template
gptme-agent create ~/my-agent --name MyAgent

cd ~/my-agent

# Run the agent interactively
gptme "hello"

The agent's context is automatically loaded via gptme.toml which configures the files and context command to include.

Claude Code Backend

The template also supports Claude Code as an alternative backend:

# Install Claude Code
npm install -g @anthropic-ai/claude-code

# Authenticate
claude /login

# Run interactively (reads AGENTS.md automatically)
claude

# Run autonomously
./scripts/runs/autonomous/autonomous-run-cc.sh

The scripts/build-system-prompt.sh script reads gptme.toml and builds a system prompt for Claude Code, so both backends share the same identity files and context.

Workspace Health Check

After creating or forking an agent workspace, verify everything is configured correctly:

gptme-agent doctor

This checks core files, configuration, directories, tools, and submodules. Use --fix to auto-fix simple issues (create missing directories, initialize submodules).

Requires gptme >= v0.32

Run the agent interactively with gptme or Claude Code:

gptme "hello"
# or: claude

Autonomous Operation

Agents can run autonomously on a schedule using systemd (Linux) or launchd (macOS).

# Install as a system service (runs every 30 minutes by default)
gptme-agent install

# Customize the schedule
gptme-agent install --schedule "*:00"    # Every hour

# Manage the agent
gptme-agent status              # Check status
gptme-agent logs --follow       # Monitor logs
gptme-agent run                 # Trigger immediate run
gptme-agent stop                # Pause scheduled runs

See the gptme agents documentation for service installation and management commands.

To customize the autonomous behavior, edit the run script for your backend:

  • gptme: scripts/runs/autonomous/autonomous-run.sh
  • Claude Code: scripts/runs/autonomous/autonomous-run-cc.sh

See: scripts/runs/autonomous/README.md for complete documentation.

Features:

  • CASCADE workflow (Loose Ends → Task Selection → Execution)
  • Two-queue system (manual + generated priorities)
  • Safety guardrails (GREEN/YELLOW/RED operation classification)
  • Session documentation and state management
  • Multi-backend: Supports both gptme and Claude Code backends

Forking (manual alternative)

If you prefer to fork manually instead of using gptme-agent create:

git clone https://github.com/gptme/gptme-agent-template
cd gptme-agent-template
git submodule update --init --recursive

./scripts/fork.sh <path> [<agent-name>]

Then follow the instructions in the output.

Workspace Structure

- gptme-agent maintains profiles of people in [`./people/`](./people/) - gptme-agent manages work priorities in [`./state/`](./state/) using the two-queue system (manual + generated) - gptme-agent uses scripts in [`./scripts/`](./scripts/) for context generation, task management, and automation
  • gptme-agent can add files to gptme.toml to always include them in their context

Key Directories

**[`state/`](./state/)**: Work queue management
  • queue-manual.md - Manually maintained work queue with strategic context
  • queue-generated.md - Auto-generated queue from tasks and GitHub
  • See state/README.md for detailed documentation
**[`scripts/`](./scripts/)**: Automation and utilities
  • context.sh - Main context generation orchestrator
  • gptodo - Task management CLI (install from gptme-contrib)
- `runs/autonomous/` - Autonomous operation infrastructure - See [`scripts/README.md`](./scripts/README.md) for complete documentation

lessons/: Behavioral patterns and constraints

  • Prevents known failure modes through structured guidance
  • See lessons/README.md for lesson system documentation

About

Agent workspace template for gptme - create persistent autonomous agents that build, learn, socialize, and assist you with whatever you need.

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