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

\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:** [harness.boldblack.ai/docs](https://harness.boldblack.ai/docs/)\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 @boldblackai/harness` just works.\n\n## Quickstart\n\nA container runtime is required. By default harness uses [Docker](https://www.docker.com); on macOS 26 / Apple Silicon, Apple's native [`container`](https://github.com/apple/container) CLI is preferred automatically if installed — see [Container runtime](#container-runtime). With the default runtime and 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 @boldblackai/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 @boldblackai/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 @boldblackai/harness -p \"write me a fizzbuzz in Go\"\n\n# Pipe via stdin\necho \"write me a fizzbuzz in Go\" | npx @boldblackai/harness\n\n# Interactive session (no -p, no piped stdin) — state persists under XDG data dir\nnpx @boldblackai/harness\n\n# Use a cloud provider via env file\nnpx @boldblackai/harness -e .env -p \"add a login endpoint\"\n\n# Override the model\nnpx @boldblackai/harness -m anthropic/claude-sonnet-4-5 -p \"refactor the auth module\"\n\n# Mount a single file instead of the whole directory\nnpx @boldblackai/harness -f ./script.py -p \"add type hints\"\n\n# Switch agents\nnpx @boldblackai/harness -a opencode -p \"write me a fizzbuzz in Go\"\nnpx @boldblackai/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 @boldblackai/harness\n# or\npnpm add -g @boldblackai/harness\n# or\nbun add -g @boldblackai/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 @boldblackai/harness -a opencode -e .env -p \"refactor the auth module\"\nnpx @boldblackai/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 @boldblackai/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 @boldblackai/harness -a hermes -e .env -m anthropic/claude-sonnet-4-5 -p \"add tests\"\nnpx @boldblackai/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`, `GLM_API_KEY` (Z.AI), [and others](https://github.com/NousResearch/hermes-agent/blob/main/.env.example). LM Studio context length should be at least 64k tokens.\n\n**Multiple API keys in one env file.** With `--env-file`, each agent auto-detects a provider from the keys present. If the file contains keys for more than one provider (e.g. `OPENROUTER_API_KEY` and `GLM_API_KEY`), the agent may not pick the one you expect — `pi` and `opencode` follow their own detection order. For one-shot runs, use a single-provider env file, or select the agent and model explicitly (e.g. `harness -a hermes -e .env -m zai/glm-4.7 -p \"...\"`).\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\nRunning harness from your home directory is blocked by default, since that would mount all of `$HOME` into the container — exposing dotfiles, credentials, and SSH keys to the agent and giving it a noisy, unfocused workspace. If the resolved working directory equals your home, harness exits with an error. Pass `--mount-entire-home` to opt in for the rare case where mounting all of `$HOME` is genuinely intended. `--file` mode is unaffected (it mounts a single file, not the working directory).\n\nThese hardening flags are docker-specific. When running under Apple's `container` CLI (auto-detected on macOS 26 / Apple Silicon), `--security-opt` is not applied (apple/container workloads are microVMs with their own guest kernel, so the seccomp profile's host-kernel role is subsumed by the VM boundary); capability restrictions remain. See [Container runtime](#container-runtime).\n\n### Image verification\n\nBy default, harness verifies that the container image was signed by the official CI workflow and carries a valid SLSA provenance attestation. This requires [cosign](https://github.com/sigstore/cosign):\n\n```bash\nbrew install cosign\n```\n\nVerified digests are cached at `~/.cache/harness/cosign-verified.json` so verification only runs once per image. Skip with `--no-verify` (or by setting `HARNESS_IMAGE_TAG`, which implies skip):\n\n```bash\nnpx @boldblackai/harness --no-verify -p \"write me a fizzbuzz in Go\"\n```\n\n### Dependency cooldown\n\nThe image build enforces a 7-day cooldown on dependency resolution — a guard against supply-chain compromises that are typically discovered and yanked within hours.\n\n- **pnpm**: `PNPM_CONFIG_MINIMUM_RELEASE_AGE=10080` (minutes) via environment variable\n- **uv**: `--exclude-newer` set to 7 days ago at image build time\n\nThe cooldown applies to transitive dependencies too. Older packages install normally.\n\n## Persistence\n\nInteractive runs (no `-p` and no piped stdin) store persistence data at `$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. The container's `~/.config` is persisted at `/../xdg_config` (one level above the per-agent root, i.e. `$XDG_DATA_HOME/harness//xdg_config`), so tool configs (e.g. jj) survive across runs and are shared by every agent working in the same project. For the opencode adapter the existing per-agent `.config/opencode` mount nests inside this project-level one. 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; may be repeated |\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| `--port` | | Publish a container port to the host (`[host-ip:]host-port:container-port[/protocol]`); 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| `--mount-entire-home` | | Allow running from your home directory (mounts all of `$HOME` as the workspace) |\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| `HARNESS_CONTAINER_RUNTIME` | Container runtime: `auto` (default — on macOS, prefers Apple's `container` CLI if on PATH; docker everywhere else), `docker` (force docker), or `apple` (deprecated explicit alias; warns). |\n| `XDG_DATA_HOME` | Override the base directory for persistence data (defaults to `~/.local/share`). |\n| `XDG_CACHE_HOME` | Override the base directory for the cosign cache (defaults to `~/.cache`). |\n\n#### Container runtime\n\nBy default harness auto-detects the container runtime: on macOS, if Apple's native [`container`](https://github.com/apple/container) CLI (v1.0.0+) is on PATH, it is preferred; on every other platform docker is used. Auto-detection is gated to macOS because apple/container ships for macOS only — a binary named `container` on a Linux PATH is an unrelated tool and is ignored. No configuration is needed.\n\n```bash\nbrew install container # install Apple's container CLI (v1.0.0+)\ncontainer system start # one-time: start the container system service\ncontainer system kernel set --recommended --arch arm64 # one-time on Apple Silicon (required before first run)\nharness -p \"write me a fizzbuzz in Go\"\n```\n\nOn arm64 Macs, `container system kernel set --recommended` is required — without it the first `harness` run fails with `default kernel not configured for architecture arm64`. See [apple/container](https://github.com/apple/container) for details.\n\nTo force docker even when `container` is available, set:\n\n```bash\nexport HARNESS_CONTAINER_RUNTIME=docker\n```\n\n`HARNESS_CONTAINER_RUNTIME=apple` (the pre-auto-detect opt-in) still works but is deprecated: it selects the apple runtime explicitly, prints a deprecation warning, and will be removed in a future release.\n\nImage verification (cosign + SLSA provenance) works identically under both runtimes; the verified-digest cache is keyed by digest, so a digest verified under one runtime is a cache hit under the other.\n\n**Security note.** When running under Apple's `container` CLI, harness does not apply the `--security-opt no-new-privileges` and `--security-opt seccomp=...` flags it uses under docker, because `apple/container` has no `--security-opt` option. This is not a security regression: each apple/container workload is a microVM with its own ephemeral guest kernel (Apple Virtualization framework), so the `block-af-alg.json` profile's host-kernel role — blocking `socket(AF_ALG)` — is subsumed by the VM boundary itself (hardware-assisted isolation, strictly stronger than a syscall filter). Capability restrictions (`--cap-drop=ALL --cap-add=NET_RAW`) **are** supported and stay on. Only `ro`/`readonly` is honored for volume options under the apple path (SELinux relabel flags like `:Z` are meaningless under macOS virtiofs).\n\n**Optional tuning — resource limits.** Apple's container CLI reads defaults from `~/.config/container/config.toml`. Create this file to control CPU and memory allocation for all containers (see [container-system-config.md](https://github.com/apple/container/blob/main/docs/container-system-config.md) for the full schema):\n\n```toml\n# example values; adjust to your machine\n[container]\ncpus = 8\nmemory = \"4g\"\n```\n\n**Container → host (`host.docker.internal`).** Docker Desktop provides `host.docker.internal` automatically; Apple's `container` CLI does not. Local-mode agents (pi, opencode, hermes without `-e`) reach LM Studio and other host services via that hostname. One-time setup on Apple Silicon (requires administrator):\n\n```bash\nsudo container system dns create host.docker.internal --localhost 203.0.113.113\n```\n\nHarness prints a reminder on `HARNESS_CONTAINER_RUNTIME=apple` runs if this mapping is missing. See [apple/container — access a host service](https://github.com/apple/container/blob/main/docs/how-to.md#access-a-host-service-from-a-container).\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/fly.md)\n- [Kubernetes](docs/deploying/k8s.md)\n- [AWS (ECS Fargate or EC2 + SSM)](docs/deploying/aws.md)\n\n## Developing\n\nLink your local checkout globally:\n\n```bash\npnpm link --global\n# unlink with:\npnpm unlink --global @boldblackai/harness\n```\n\n### Building the image\n\n```bash\nmake image\n```\n\nBuilds `ghcr.io/boldblackai/harness` with Debian stable-slim, Node.js v24, `git`, [`@earendil-works/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, [`faster-whisper`](https://github.com/SYSTRAN/faster-whisper) for local speech-to-text, and [`kokoro-onnx`](https://github.com/thewh1teagle/kokoro-onnx) for local text-to-speech.\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"}