The verified latest public binary release is v0.5.5. Current merged source declares 0.6.0, including database logical dumps and live restore. Public source publication is being prepared; do not assume an available release asset means the matching public source tree has already been published.Use the installer for a released Engine. The existing nerdit package on PyPI is not the current supported installation route. For development, start from an authorized source checkout rather than an invented download command.
Requirements: Python 3.11 or newer, a working Docker environment for runtime work, Git, and Node/npm for the bundled local dashboard. Caddy is required to exercise HTTPS from source.From the repository root:
python3 -m venv venvvenv/bin/python -m pip install -e '.[dev,mcp]'(cd src/nerdit/daemon/web && npm ci && npm run build)venv/bin/nerdit --help
The dashboard build is required; otherwise its route reports that the bundle is missing. nerdit init is the interactive source-checkout bootstrap, not a repair command for an installed service. Read the checkout’s contributor and agent instructions before starting any Engine.
venv/bin/ruff check src/nerditvenv/bin/ruff format --check src/nerditvenv/bin/mypy src/nerditvenv/bin/pytest tests/test_openapi.py tests/test_mcp.py
These focused schema/tool checks do not prove a Docker deployment works. Use tests appropriate to the changed feature, then exercise its live path in an isolated environment when runtime behavior changes.
Some tests start real Engine processes, inspect ports, or interact with Docker. Never run the full suite while a real Engine or demonstration stack is running. A disposable machine is the simplest safe environment for installation, update, uninstall, and recovery tests.
For multiple Engines sharing one Docker host, every scratch Engine must use a unique [daemon].instance_id, its own configuration/data directory, and separate API/proxy ports. Container cleanup is instance-scoped; using the default identity can affect another instance’s managed containers. Preserve Docker CLI/plugin configuration deliberately when isolating user directories.A useful live validation loop is: dry-run deployment, deploy and wait, request the actual application URL, inspect health/logs, exercise a deliberate failure, and clean up only that test instance. Use throwaway tokens and verify that invalid credentials are actually refused before trusting permission checks.
When public source is available, use the repository’s CONTRIBUTING.md as the maintained contribution policy. The planned release mirror accepts issues and proposed patches; accepted changes are integrated through the release process. Do not infer that every contribution is merged directly into the public mirror.Follow the repository’s Developer Certificate of Origin requirement:
git commit -s
Keep source comments concise and use Google-style Python docstrings. Preserve security, recovery, and caller-visible contracts. MCP descriptions are part of a tool interface: review them with the MCP contract tests rather than treating them as ordinary prose.Documentation is maintained once in the documentation website’s version-controlled source. Public source retains tests and essential root/contributor documents; user-guide sources and MkDocs configuration are not part of the public source export. Report a documentation issue with its page URL and the affected Engine version.
The Engine, CLI, MCP server, and bundled local dashboard are prepared for publication under Apache-2.0. Refer to the released source tree’s LICENSE and NOTICE for the actual terms and attribution. Nerdit’s name and logo are not licensed as trademarks by the code license. The hosted App is a separate service; an account entitlement is unrelated to the source-code license.
Start with troubleshooting. Include your version, platform, installation method, exact command, error code, and redacted diagnostic output when reporting a problem.The public source repository is planned at nerdit-ai/nerdit. Until its issue and security-reporting surfaces are available, contact support@nerdit.ai. Do not publish sensitive reports into an ordinary issue as a workaround.Once available, use the repository’s Security → Report a vulnerability flow for Engine vulnerabilities, following SECURITY.md. That policy covers the Engine and its bundled interfaces; report third-party dependency issues upstream and hosted App issues through the service’s support channel. Security fixes target the latest release line.
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