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environment for running coding agents in a container","maintainers":[{"name":"capotej","email":"jcapote@gmail.com"}],"readme":"

\n \"harness\"\n \"harness\"\n

\n\n

\n Run agents in a sandboxed container — ready to drop into any project.\n

\n\nHarness conveniently wraps Docker around three open-source coding agents — [`pi`](https://pi.dev/), [`opencode`](https://opencode.ai),\nand [`hermes`](https://github.com/NousResearch/hermes-agent) — so you can point one at a directory (or file) without giving it access to your entire machine.\n\n> **Documentation:** [capotej.github.io/harness](https://capotej.github.io/harness/)\n\n## Features\n\n- **Sandboxed by default** — capability-dropped container with `no-new-privileges`; the agent only sees the directory (or file) you mount.\n- **Three agents, one CLI** — switch between `pi`, `opencode`, and `hermes` with `-a`. Same flags, same flow.\n- **Supply-chain hardened** — the image is signed and verified with cosign and SLSA provenance on every run; dependencies installed inside the container are always pinned and verified where possible and a 7-day \"cooldown\" is used to mitigate supply-chain attacks.\n- **Local-first** — defaults to LM Studio with `gemma-4-e4b`. Drop in an `--env-file` to use Anthropic, OpenRouter, OpenAI, Gemini, and others.\n- **Stateful or one-shot** — interactive runs persist agent state under `$XDG_DATA_HOME/harness///` (defaults to `~/.local/share/harness/`); one-shot prompts (`-p` or piped stdin) stay ephemeral.\n- **User skills** — automatically mounts `~/.agents/skills` and `~/.claude/skills` into the container so agents can discover and use custom skills. Disable with `--no-skills`.\n- **Context files** — automatically mounts `~/.agents/AGENTS.md` and `~/.claude/CLAUDE.md` into the agent's context directory so cross-agent rules apply inside the container. Disable with `--no-context-files` (`-nc`).\n- **Zero install** — `npx @capotej/harness` just works.\n\n## Quickstart\n\n[Docker](https://www.docker.com) is required. By default, harness uses LM Studio locally:\n\n```bash\nlms daemon up\nlms get google/gemma-4-e4b\n```\n\nThe container is preconfigured to use `gemma-4-e4b` via LM Studio's local API.\n\nYou can also specify a different local model with `-m`. HuggingFace-style names with slashes (e.g. `qwen/qwen3.5-9b`) work correctly in local mode:\n\n```bash\nnpx @capotej/harness -m \"qwen/qwen3.5-9b\" -p \"write a fizzbuzz in Go\"\n```\n\n### Using a cloud provider instead\n\n#### pi (default agent)\n\nIf you pass an API key for a supported provider via `--env-file`, [`pi`](https://pi.dev/) will use that provider instead of the local LM Studio setup. Supported keys:\n\n| Provider | Environment Variable |\n|----------|----------------------|\n| Anthropic | `ANTHROPIC_API_KEY` |\n| OpenRouter | `OPENROUTER_API_KEY` |\n| OpenAI | `OPENAI_API_KEY` |\n| Google Gemini | `GEMINI_API_KEY` |\n| Mistral | `MISTRAL_API_KEY` |\n| Groq | `GROQ_API_KEY` |\n| Cerebras | `CEREBRAS_API_KEY` |\n| xAI | `XAI_API_KEY` |\n| Hugging Face | `HF_TOKEN` |\n\nSee the [full list of supported providers](https://github.com/badlogic/pi-mono/blob/c779c14e91bc2ea65143e59b0dc1baf3646ba8c9/packages/coding-agent/docs/providers.md#api-keys) for more options. When using LM Studio locally, 16k context is sufficient.\n\n#### opencode agent\n\n[`opencode`](https://opencode.ai) uses LM Studio by default. Pass `--env-file` to switch to cloud mode — the agent auto-detects the provider from whichever API key is in the file:\n\n```bash\necho 'OPENROUTER_API_KEY=sk-...' > .env\nnpx @capotej/harness -e .env -p \"write me a fizzbuzz in Go\"\n```\n\nThat's it. Your current directory is mounted at `/workspace` inside the container and the agent works against it.\n\n## Contents\n\n- [Examples](#examples)\n- [Agents](#agents)\n - [pi (default)](#pi-default)\n - [opencode](#opencode)\n - [hermes](#hermes)\n- [Security model](#security-model)\n - [Sandbox](#sandbox)\n - [Image verification](#image-verification)\n - [Dependency cooldown](#dependency-cooldown)\n- [Persistence](#persistence)\n- [Reference](#reference)\n - [CLI flags](#cli-flags)\n - [Environment variables](#environment-variables)\n - [Agent-specific behavior](#agent-specific-behavior)\n- [Deploying hermes as a claw](#deploying-hermes-as-a-claw)\n- [Developing](#developing)\n\n## Examples\n\n```bash\n# One-shot prompt\nnpx @capotej/harness -p \"write me a fizzbuzz in Go\"\n\n# Pipe via stdin\necho \"write me a fizzbuzz in Go\" | npx @capotej/harness\n\n# Interactive session (no -p, no piped stdin) — state persists under XDG data dir\nnpx @capotej/harness\n\n# Use a cloud provider via env file\nnpx @capotej/harness -e .env -p \"add a login endpoint\"\n\n# Override the model\nnpx @capotej/harness -m anthropic/claude-sonnet-4-5 -p \"refactor the auth module\"\n\n# Mount a single file instead of the whole directory\nnpx @capotej/harness -f ./script.py -p \"add type hints\"\n\n# Switch agents\nnpx @capotej/harness -a opencode -p \"write me a fizzbuzz in Go\"\nnpx @capotej/harness -a hermes -e .env -p \"add tests\"\n```\n\n`npx`, `bunx`, and `pnpm dlx` are interchangeable. Or install globally:\n\n```bash\nnpm install -g @capotej/harness\n# or\npnpm add -g @capotej/harness\n# or\nbun add -g @capotej/harness\n```\n\n## Agents\n\nPick an agent with `-a`. Default is `pi`.\n\n### pi (default)\n\n[`pi`](https://pi.dev/) defaults to LM Studio with `google/gemma-4-e4b` (16k context is enough). Pass an `--env-file` containing any of the keys below and `pi` switches to that provider:\n\n| Provider | Environment Variable |\n|---------------|----------------------|\n| Anthropic | `ANTHROPIC_API_KEY` |\n| OpenRouter | `OPENROUTER_API_KEY` |\n| OpenAI | `OPENAI_API_KEY` |\n| Google Gemini | `GEMINI_API_KEY` |\n| Mistral | `MISTRAL_API_KEY` |\n| Groq | `GROQ_API_KEY` |\n| Cerebras | `CEREBRAS_API_KEY` |\n| xAI | `XAI_API_KEY` |\n| Hugging Face | `HF_TOKEN` |\n\nSee the [full provider list](https://github.com/badlogic/pi-mono/blob/c779c14e91bc2ea65143e59b0dc1baf3646ba8c9/packages/coding-agent/docs/providers.md#api-keys). The `-m` flag is forwarded directly.\n\n### opencode\n\n[`opencode`](https://opencode.ai) defaults to LM Studio in local mode. Pass `--env-file` to enter cloud mode — the agent auto-detects the provider from whichever API key is in the file (`ZAI_API_KEY`, `OPENROUTER_API_KEY`, `ANTHROPIC_API_KEY`, etc.). The `-m` flag takes a bare model name; the provider prefix is added for you.\n\n```bash\nnpx @capotej/harness -a opencode -e .env -p \"refactor the auth module\"\nnpx @capotej/harness -a opencode -e .env -m anthropic/claude-sonnet-4-5 -p \"add tests\"\n```\n\nTo pass env vars but stay in local mode, use `--local`:\n\n```bash\nnpx @capotej/harness -a opencode -e .env --local -p \"refactor the auth module\"\n```\n\nWhen using LM Studio locally, set the model's context length to at least 32k tokens.\n\n### hermes\n\n[`hermes`](https://github.com/NousResearch/hermes-agent) by NousResearch supports many providers. Pass `--env-file` to enter cloud mode — the agent auto-detects the provider from whichever API key is in the file. Use a `provider/model` for `-m`:\n\n```bash\nnpx @capotej/harness -a hermes -e .env -m anthropic/claude-sonnet-4-5 -p \"add tests\"\nnpx @capotej/harness -a hermes -e .env -m openrouter/auto -p \"add tests\"\n```\n\nCommon keys: `ANTHROPIC_API_KEY`, `OPENROUTER_API_KEY`, `OPENAI_API_KEY`, `GOOGLE_API_KEY`, [and others](https://github.com/NousResearch/hermes-agent/blob/main/.env.example). LM Studio context length should be at least 64k tokens.\n\n## Security model\n\nHarness layers protections at runtime, image, and dependency level.\n\n### Sandbox\n\nEach run starts the container with:\n\n- `--cap-drop=ALL --cap-add=NET_RAW` — minimal capability set\n- `--security-opt no-new-privileges:true` — block privilege escalation\n- `--security-opt seccomp=...` — inline seccomp profile blocks `socket(AF_ALG)` to prevent kernel crypto API access (a known container escape vector)\n- Only your mounted directory (or single file with `-f`) is visible to the agent\n\n### Image verification\n\nBy default, harness verifies that the container image was signed by the official CI workflow and carries a valid SLSA provenance attestation. This requires [cosign](https://github.com/sigstore/cosign):\n\n```bash\nbrew install cosign\n```\n\nVerified digests are cached at `~/.cache/harness/cosign-verified.json` so verification only runs once per image. Skip with `--no-verify` (or by setting `HARNESS_IMAGE_TAG`, which implies skip):\n\n```bash\nnpx @capotej/harness --no-verify -p \"write me a fizzbuzz in Go\"\n```\n\n### Dependency cooldown\n\nThe image build enforces a 7-day cooldown on dependency resolution — a guard against supply-chain compromises that are typically discovered and yanked within hours.\n\n- **pnpm**: `PNPM_MINIMUM_RELEASE_AGE=10080` (minutes) via environment variable\n- **uv**: `--exclude-newer` set to 7 days ago at image build time\n\nThe cooldown applies to transitive dependencies too. Older packages install normally.\n\n## Persistence\n\nInteractive runs (no `-p` and no piped stdin) store persistence data at `$XDG_DATA_HOME/harness///` (defaults to `~/.local/share/harness/`). The `` segment is the working directory path with `/` replaced by `_` and the home prefix stripped. This lets agents resume sessions, skip database migrations on repeat runs, and retain memories across invocations. Per-agent `mise` tool data and trust settings are persisted at `/mise/` and `/mise-state/` respectively. For the pi adapter, extensions/skills installed via `npm install -g` are persisted at `/npm/`, avoiding re-downloads on every boot.\n\nOne-shot runs (`-p` or piped stdin) are implicitly ephemeral — no persistence data is created. Use `--ephemeral` to force-disable persistence on interactive runs.\n\nIf an old `.harness/` directory exists in your working directory, harness will emit a deprecation warning with migration instructions.\n\n## Reference\n\n### CLI flags\n\n| Flag | Alias | Description |\n|---------------|-------|-------------|\n| `--prompt` | `-p` | Pass a prompt directly to the agent |\n| `--env-file` | `-e` | Load environment variables into the container |\n| `--file` | `-f` | Mount a single file instead of the current directory |\n| `--model` | `-m` | Override the model used by the agent |\n| `--agent` | `-a` | Select agent: `pi`, `opencode`, `hermes` (default: `pi`) |\n| `--volumes` | `-v` | Additional volume mount (`host:container[:opts]`); may be repeated |\n| `--no-verify` | | Skip cosign signature and provenance verification |\n| `--no-skills` | | Disable mounting user skills directories (`~/.agents/skills`, `~/.claude/skills`) |\n| `--no-context-files` | `-nc` | Disable mounting global context files (`~/.agents/AGENTS.md`, `~/.claude/CLAUDE.md`) |\n| `--ephemeral` | | Disable session persistence (implied by `-p` and piped stdin) |\n| `--local` | | Force local mode even with `-e` (use LM Studio / local defaults) |\n| `--help` | `-h` | Show help |\n\n### Environment variables\n\n| Variable | Description |\n|----------------------|-------------|\n| `HARNESS_IMAGE_TAG` | Override the Docker image tag (defaults to the package version). Setting this implies `--no-verify`. |\n\n### Agent-specific behavior\n\n- **pi** — `-m` is passed straight to the binary as `--model`.\n- **opencode** — `-m` is passed via the `OPENCODE_MODEL` env var. Without `-e`, uses LM Studio locally. With `-e`, enters cloud mode and auto-detects the provider from whichever API key is in the env file. Use `--local` to force local mode even with `-e`.\n- **hermes** — `-m` is passed as `--model` in `provider/model` form. Without `-e`, uses local config. With `-e`, enters cloud mode and auto-detects from env vars. Use `--local` to force local mode even with `-e`.\n\n## Deploying hermes as a claw\n\nYou can run `hermes` as a long-running \"claw\" — a persistent agent process reachable over a messaging gateway (e.g. Telegram). Three deployment targets are documented:\n\n- [fly.io](docs/deploying-to-fly.md)\n- [Kubernetes](docs/deploying-to-k8s.md)\n- [AWS (ECS Fargate or EC2 + SSM)](docs/deploying-to-aws.md)\n\n## Developing\n\nLink your local checkout globally:\n\n```bash\npnpm link --global\n# unlink with:\npnpm unlink --global @capotej/harness\n```\n\n### Building the image\n\n```bash\nmake image\n```\n\nBuilds `ghcr.io/capotej/harness` with Debian stable-slim, Node.js v24, `git`, [`@mariozechner/pi-coding-agent`](https://pi.dev/), [`opencode-ai`](https://opencode.ai), [`hermes-agent`](https://github.com/NousResearch/hermes-agent), `fd`, `ripgrep`, `jq`, and `curl`. The hermes variant also includes the [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk) for connecting to MCP servers, and [`faster-whisper`](https://github.com/SYSTRAN/faster-whisper) for local speech-to-text.\n\nThe base image is pinned by manifest-list digest (the OCI image index, not a per-platform manifest) for reproducible multi-arch builds. To bump it:\n\n```bash\ndocker buildx imagetools inspect debian:stable-slim --format '{{.Manifest.Digest}}'\n```\n\n### Linting\n\n```bash\npnpm lint # all\npnpm lint:ts # Biome\npnpm lint:md # markdownlint\npnpm lint:sh # shellcheck\npnpm lint:docker # hadolint\npnpm lint:actions # actionlint\npnpm format # auto-format with Biome\n```\n\n`shellcheck`, `hadolint`, and `actionlint` are system binaries. Install with [mise](https://mise.jdx.dev/) (recommended):\n\n```bash\nmise install\n```\n\nOr install manually:\n\n```bash\nbrew install shellcheck hadolint actionlint\n```\n","readmeFilename":"README.md"}