Getting Started
AI agents that know your project. One shared brain across Claude Code, Codex, Gemini, Aider, OpenCode, Qoder, and Kimi Code.
0dai generates native configs for supported agent CLIs from a single ai/ directory and keeps their shared context, decisions, and outcomes in sync.
Install
curl -fsSL https://0dai.dev/install.sh | sh
# needs Node.js 22.12+, no sudoThe installer downloads the published CLI bundle, checks its SHA-256 checksum, and puts the launcher in ~/.local/bin/0dai. If that directory is not on your PATH, it prints the line to add.
Start locally — no account required
cd your-project
0dai init --local
0dai run "add a test" --now0dai init --local creates project context without a 0dai account or activation. 0dai run --now contacts the 0dai API to split your goal into tasks, then runs your installed agent CLI locally. That agent uses its own authentication.
Connect an account when you need cloud features
0dai auth login
0dai activate free
0dai initUse this path for account-bound setup and cloud sync. Local initialization remains available independently.
Project context
This auto-detects your stack (Next.js, FastAPI, Flutter, Go, etc.) and generates:
ai/— manifests, personas, skills, playbooks, delegation policy.claude/— settings, agents, hooks, rules.codex/— config, agents.gemini/— settings, agents.aider/— config, agentsAGENTS.md,.mcp.json
Verify
0dai doctor # check health
0dai detect # show detected stack
0dai status # maturity, swarm, sessionKeep in sync
0dai syncRun after editing files in ai/ to regenerate all native configs.
What's next
- Application clients and orchestration — client direction, capabilities, and delivery status
- Session Roaming — transfer context between agents
- CLI Reference — all commands
- Troubleshooting — fixes for the first errors you hit
- MCP Tools — full reference and plan access
- Delegation Policy — haiku/sonnet/opus routing
- Loop Presets — 8 scheduled autonomous scans
Compare
- Why 0dai — shared repo memory and agent config sync
- Session Roaming — transfer context between agents
- Multi-agent workflow — coordinate parallel agent work
- vs Cursor — repo-owned context for multi-CLI teams
- vs Aider — pair-programming CLI plus shared memory
- vs Claude Code subagents — feature matrix and import adapter
FAQ
- Is this just another CLAUDE.md generator?
- No. Native configs are the entry point. The value is the living memory, routing, outcomes, and gates around the agents.
- Does source code leave the machine?
- The free local workflow keeps source local. Product metadata, manifests, and promoted patterns are the cloud boundary.
- Why show pricing on the landing page?
- The concept is explicit: free stays free, Pro is for the network, Team is for shared operational memory.