
pullrun/pullrun
Deployment & DevOpsโก 30-Second Install โข ๐ Quick Start โข ๐๏ธ Architecture โข ๐ฏ Why Pullrun? โข ๐บ๏ธ Feature Map โข โธ๏ธ Kubernetes โข ๐ค AI Agents
ะะฑะทะพั
โก 30-Second Install โข ๐ Quick Start โข ๐๏ธ Architecture โข ๐ฏ Why Pullrun? โข ๐บ๏ธ Feature Map โข โธ๏ธ Kubernetes โข ๐ค AI Agents
README
โก 30-Second Install โข ๐ Quick Start โข ๐๏ธ Architecture โข ๐ฏ Why Pullrun? โข ๐บ๏ธ Feature Map โข โธ๏ธ Kubernetes โข ๐ค AI Agents
โก What is Pullrun?
Pullrun runs the same OCI image as a container or a VM. It stores layers in a content-addressed DAG (no overlayfs), syncs blocks peer-to-peer, and ships as a ~14 MB CLI + ~6 MB runtime daemon.
Why this matters: Modern infrastructure uses too many execution engines โ Docker for dev, containerd for production, Firecracker for isolation, CRI for Kubernetes, MCP agents for AI. Each has its own image format, storage, and operational model โ even though they all run the same OCI images. Pullrun collapses these layers into one runtime.
Key differentiators:
- Containers and VMs from the same image โ no separate VM build step, no separate VM image format
- Content-addressed DAG store โ zero-copy mmap reads, deduplicated by content hash, byte-identical across every node
- P2P image distribution โ one registry pull per cluster, rest sync peer-to-peer at LAN speed
- ~14 MB CLI + ~6 MB runtime daemon (stripped) โ no daemon required by default (CLI-only
pullrun run), optional daemon for background services
Also included: Kubernetes CRI shim (beta), Docker Compose support, MCP server for AI agents, policy engine (Cosign, SBOM, seccomp), P2P sync layer, and AES-256-GCM encrypted secrets โ all in the same binary.
# Apple Silicon VM (macOS default) โ 3 s
pullrun run alpine:3.18 --cmd "echo" --cmd "hello pullrun" --attach -t
# Firecracker microVM (Linux) โ 400 ms
pullrun run alpine:3.18 --backend vm --cmd "echo" --cmd "hello pullrun" --attach -t
# Container (Linux) โ 400 ms
pullrun run alpine:3.18 --cmd "echo" --cmd "hello pullrun"
# Windows WSL2 โ same image, same command, same store
pullrun.exe run alpine:3.18 --cmd "echo" --cmd "hello pullrun"
๐ฆ Install
# One command, any platform
curl -fsSL https://github.com/pullrun/pullrun/raw/main/install.sh | bash
| Platform | What you get |
|---|---|
| macOS | brew tap pullrun/tap && brew install pullrun โ native binary, no Xcode |
| Linux | APT package or direct download, systemd service (requires runc for containers, /dev/kvm for VMs) |
| Windows | pullrun.exe + WSL2 auto-provisioning, runc + Firecracker |
๐ Quick Start
# โโ Pull any OCI image โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun pull alpine:3.18 # 968 ms โ benchmark script at hack/bench.sh
# โโ Run as a container (Linux) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun run alpine:3.18 --cmd "echo" --cmd "hello pullrun"
# โโ Run as a microVM (macOS/Linux) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun run alpine:3.18 --backend vm --cmd "echo" --cmd "hello" --attach -t
# โโ Interactive shell with detach โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun run alpine:3.18 --tty --attach --cmd /bin/sh
# Ctrl-P Ctrl-Q โ detach (workload keeps running)
# pullrun exec -t /bin/sh โ re-attach
# โโ Background workload โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun run alpine:3.18 --cmd /bin/sleep --cmd 3600
# โโ Build & push (no Docker daemon needed) โโโโโโโโโโโโโโโโโโโโโ
pullrun build ./Dockerfile . -t myapp:latest
pullrun build ./Dockerfile . -t myapp:latest --platform linux/amd64,linux/arm64
pullrun push ghcr.io/myorg/myimg:latest
# โโ Export/import for air-gapped โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun save -o myimage.tar
pullrun load -i myimage.tar
# โโ Compose (separate binary) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun-compose up -f myapp/compose.yml # containers (default on Linux)
pullrun-compose up -f myapp/compose.yml --backend vm # same compose, VM isolation
pullrun-compose logs -f
pullrun-compose down
# โโ Lifecycle โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun list # all workloads (pending/running/exited)
pullrun stop
pullrun exec /bin/echo hello
# Re-attach to a detached workload (allocates a fresh PTY)
pullrun exec -t -- /bin/sh
# Or, for bidirectional I/O streaming without a new shell:
pullrun workload run
# โโ Image management โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun images # list pulled images in local DAG store
pullrun rmi alpine:3.18 # remove an image, cascade-delete unreachable layers
pullrun rmi sha256:abc... # also works by digest
# โโ GC (DAG store garbage collection) โโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun gc # dry-run โ report what would be deleted
pullrun gc --apply # actually delete unreachable nodes
pullrun gc --apply --force # bypass 90% safety guard
# โโ Events & Stats โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun events --types=WORKLOAD_STARTED,POLICY_DENIED
pullrun stats
# โโ Network โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun network create my-net --subnet 10.43.1.0/24
pullrun run alpine:3.18 --net bridge
# โโ Secrets โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun secret create db_password - # from stdin
pullrun run myapp:latest --secret db_password
# โโ Configs โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun config create nginx.conf ./nginx.conf # from file
pullrun config create nginx.conf - # from stdin
pullrun run nginx:latest --config nginx.conf
# โโ Diff & Inspect โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun diff
pullrun inspect
pullrun commit myapp:snapshot
# โโ Login โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun login ghcr.io
pullrun logout
# โโ MCP (AI agents) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun mcp # stdio mode (for opencode, Claude Code)
pullrun mcp --sse :8080 # SSE mode (for remote agents)
# โโ P2P sync โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
pullrun-runtime daemon --sync-addr 0.0.0.0:9500
๐ฏ Why Pullrun?
๐๏ธ Architecture is Everything
Dockerโs overlayfs store is a filesystem overlay โ CVEs in overlayfs (CVE-2023-0386, CVE-2023-32629) can let a container escape to the host. Pullrunโs content-addressed DAG store stores layers as-is, verified by content hash. No overlayfs, no escape.
Pullrun also mitigates shared-kernel cross-container risks that arenโt specific to any storage driver โ for example, kernel page-cache bugs like CVE-2026-31431 (โCopy Failโ) affect all containers sharing a host kernel, regardless of the storage backend. Per-VM kernel isolation (Firecracker, Apple Virtualization) fully contains these. The DAG store makes the VM path zero-cost: the same image, no separate VM build step.
Pullrun is also rootless by default โ no sudo needed, no daemon listening on a TCP socket, no attack surface from a central dockerd.
๐ฅ The Only Runtime with Containers + VMs from the Same Image
| Backend | Isolation | Pullrun | Docker | Podman |
|---|---|---|---|---|
| Linux containers (runc) | Process | โ | โ | โ |
| Firecracker microVMs | Per-VM kernel | โ | โ | โ |
| Apple Silicon VMs | Per-VM kernel | โ | โ | โ |
| Windows WSL2 containers | Process | โ | โ | โ |
| Windows Firecracker VMs | Per-VM kernel | โ | โ | โ |
Same image, any isolation level. No separate VM image build step. The OCI manifest IS the VM rootfs.
๐งฌ Content-Addressed DAG Store
Pullrunโs store is built on rkyv + mmap. OCI layers are stored once, deduplicated by content hash, and mmap()'d directly โ no tar extraction, no overlayfs, no dockerd process owning the data.
A
sha256:digest is globally consistent. Every node that has pulledalpine:3.18stores byte-identical files on disk. This makes P2P sync trivial: blocks are verified by content hash, transferred delta-only, and deduplicated across the entire cluster.
๐ By the Numbers
| Metric | Pullrun | Docker |
|---|---|---|
First alpine:3.18 pull |
968 ms | ~2 s |
| Container run latency | ~400 ms | ~800 ms |
| Apple Virt VM boot | ~160 ms | N/A |
| Firecracker VM cold boot | ~500 ms | N/A |
| Firecracker VM warm pool | ~200 ms | N/A |
| Idle daemon RSS | 24.6 MiB | ~90 MiB |
| Binary size (stripped) | ~20 MB (CLI + runtime) | ~75 MB |
| Rootless by default | โ | โ (dockerd as root) |
| Central daemon | Optional | Required |
Benchmarks: single-node, cold cache, alpine:3.18 on Apple M3 (macOS 16) for Pullrun vs Docker Desktop 4.27. Container run latency measured from run command exit to workload PID alive. Apple VM boot measured to interactive exec prompt. Firecracker measurements on Linux x86_64 with KVM; warm pool configured with --vm-warm-pool-size 4. Pullrun daemon RSS measured after pullrun pull alpine:3.18 + pullrun run alpine:3.18 --tty --attach --cmd /bin/sh then detached. Docker RSS from docker run -d --name idle alpine:3.18 sleep 3600.
Benchmarked with hyperfine (โฅ10 iterations, mean ยฑ stddev reported). The benchmark script lives at hack/bench.sh โ run it yourself to reproduce the numbers.
โจ Features
๐ Workload Lifecycle
pull, run, stop, exec, attach, list, logs, stats, events, inspect, prune, rmi, gc plus:
commitโ create a new image layer from a running containerโs current filesystem. The DAG store computes the delta against the original image, producing a content-addressed layer.diffโ show file-level changes between a running workload and its original image. The store compares DAG trees to produce an add/modify/delete listing.updateโ live resource limit changes (CPU millicores, memory bytes) without restarting the workload.cpโ bidirectional file copy between host and workload paths.save/loadโ OCI-compatible single-file tarball export/import for air-gapped environments. Re-import produces identical content hashes.login/logoutโ bearer token auth for private OCI registries.
๐ง Build
Native Dockerfile builder (FROM, RUN, COPY, ADD, WORKDIR, ENV, CMD, ENTRYPOINT) with content-addressed layer caching by instruction hash. Uses runc directly for RUN โ no Docker daemon. Multi-platform builds via --platform linux/amd64,linux/arm64.
๐๏ธ OCI Kernel Images
Kernel binaries are first-class OCI content. pullrun kernel install downloads a vmlinux from an OCI registry into the DAG store. The --kernel-image flag lets any workload specify a custom kernel by OCI reference โ same store-backed, content-addressed pipeline: verified by digest, cached forever, pushable to any registry.
๐ณ Compose
Full Docker Compose-compatible workflow: up, down, logs, ps, build. Supports dependency ordering (topological sort), port mapping, environment variables, volumes (bind mounts), resource limits (CPU/memory), labels, and per-project bridge networks for isolation. Parses standard docker-compose.yml files via the compose-spec/compose-go library.
Each service can run as a container or VM โ use --backend vm to boot all services as Firecracker microVMs from the same compose file, no changes required.
โธ๏ธ Kubernetes CRI
Drop-in CRI shim at cri/pullrun-cri/ โ implement RuntimeService and ImageService from the Kubernetes CRI API. Maps pod sandboxes to pullrun workloads, supports RuntimeClass (pullrun-container / pullrun-vm), pod annotations for image/CPU/memory overrides, and streaming (exec, attach, port-forward).
A native control-plane stub lives in control-plane/: pullrun-controller (scheduler) + pullrun-agent (per-node deployer) communicating over gRPC. This is a v1 work-in-progress with etcd, .pullrun.local DNS, and admission control planned โ but the wire protocol is stable today.
๐ค MCP AI Integration
Native Model Context Protocol server exposing 15 runtime operations as MCP tools โ run, stop, exec, list, get, inspect, logs, stats, pull_image, list_images, build, push, prune, compose_up, compose_down plus MCP resources (pullrun://workload/{id}, pullrun://workload/{id}/logs, pullrun://store/info, pullrun://images). Works in stdio mode (for opencode, Claude Code, Cursor) or SSE mode (for remote agents via HTTP).
๐ Policy Engine
Gate workloads before they run โ built-in support for:
- Cosign signature verification (Ed25519 key pairs, key ID matching)
- SBOM evaluation (CVSS scoring, ban by license)
- Seccomp profiles (
defaultallowlist of ~50 syscalls,unconfined, or custom JSON) - Read-only rootfs โ prevents runtime tampering (write only to
--volumemounts) no_new_privilegesโ blockssetuidandcapsetescalation- Policy is declarative:
required_signature: true,max_cvss_score: 7.0,deny_licenses: ["GPL-3.0"]
Compose all four: --require-signature --readonly-rootfs --no-new-privileges --seccomp-profile default.
๐ P2P Image Distribution
Nodes share image blocks peer-to-peer via gRPC + Bloom filters. One node pulls from the registry, the rest delta-sync from each other. Features: mDNS/discovery for zero-config LAN peer finding, Bloom filter cache to avoid redundant transfers, gossip protocol for peer state, delta computation, registrar service for peer tracking.
๐ก Networking
User-defined bridge networks with IPAM, inbound/outbound port forwarding, DNS resolution, and iptables integration. Four modes per workload via --net: isolated (default for containers, loopback only with host proxy on 10.42.0.1), bridge (shared pullrun-br0 bridge, inter-workload communication), slirp (default for VMs, userspace NAT via slirp4netns โ no bridge, no iptables), host (shares host namespace), none (no network). Isolation is enforced by the proxy, not per-workload VLANs.
๐๏ธ Encrypted Secrets
AES-256-GCM encryption at rest, decrypted into workload tmpfs at runtime. pullrun secret create/get/ls/inspect/rm โ data stays encrypted on disk, only the runtime process can decrypt.
๐ Export/Import
Single-file OCI-compatible tarball export for air-gapped environments. Re-import produces identical content hashes.
๐ Events & Observability
Real-time event stream via pullrun events โ IMAGE_PULLED, WORKLOAD_STARTED, POLICY_DENIED, etc. Per-workload stats with CPU/memory. Prometheus metrics exporter built into the daemon. PrometheusRule alerting config in deploy/.
๐งน DAG Store Garbage Collection & Reference-Counted rmi
pullrun rmi removes an image by tag or digest with immediate cascade deletion of unreachable subtree nodes. Per-node refcounts (node.refcount sidecar files) preserve shared layers โ a layer referenced by another image is never deleted until the last referencing image is removed. Crash recovery via recompute_all_refcounts on daemon startup rebuilds refcounts from all tagged image and workload roots.
pullrun gc reclaims unreachable DAG nodes (orphaned layers, manifests, blobs) that are no longer reachable from any tagged image or running workload. Features: dry-run by default (report only), --apply to actually delete, --force to bypass the 90% safety guard, op-lock protection for in-flight operations, VM kernel image pinning via kernel_image_digest. The store no longer grows forever.
๐ฅ๏ธ Interactive Shells
Full TTY support with detach/re-attach via Ctrl-P Ctrl-Q. Works across all backends (container, Firecracker VM, Apple VM). Detached workloads keep running โ re-attach with pullrun exec --tty /bin/sh. Even works on exited workloads (daemon starts a fresh sleep container).
โค๏ธ Health Checks & Restart Policies
pullrun run --health-cmd 'curl -f http://localhost:80' โ periodic health checks with configurable interval, timeout, and retries. --restart on-failure|always|unless-stopped controls automatic restart on exit. Health state is surfaced via pullrun inspect and pullrun events.
๐๏ธ VM State Persistence
Stopped VMs behave like hibernated machines โ all writes preserved, restart on demand with exec. Backend specifics: Apple Virt rootfs persists via VirtioFS, Firecracker retains the ext4 image, Container (runc) rootfs is ephemeral (only --volume mounts survive). No re-pull needed.
๐ Private Registries
pullrun login for bearer token auth. Daemon accepts --insecure-registry for plain-HTTP mirrors and air-gapped LAN caches.
โธ Kubernetes
Pullrun ships a CRI shim in cri/pullrun-cri/ that implements the Kubernetes Container Runtime Interface. It maps pod sandboxes to pullrun workloads and supports:
RuntimeClassโpullrun-containerfor runc containers,pullrun-vmfor Firecracker VMs- Pod annotations:
pullrun.io/image,pullrun.io/cpu-millicores,pullrun.io/memory-bytes - Streaming: exec, attach, port-forward
- Image management via the DAG store
Deploy as a DaemonSet with manifests in deploy/:
kubectl apply -f deploy/runtime-daemon.yaml
kubectl apply -f deploy/serviceaccount.yaml
kubectl apply -f deploy/servicemonitor.yaml
๐ค MCP AI Integration
Any MCP-compatible AI agent (opencode, Claude Code, Cursor) can control pullrun through natural language:
# Start the MCP server
pullrun mcp
# In opencode or Claude Code, the agent can now:
# "pull alpine and run it as a VM"
# "exec into my-app and check the logs"
# "show me all running workloads"
# "run docker-compose up from my project"
The MCP server exposes 15 tools and 4 resource types. SSE mode for remote agents: pullrun mcp --sse :8080.
๐ P2P Image Distribution
# Node A โ seed
pullrun-runtime daemon --sync-addr 0.0.0.0:9500
# Node B โ pulls delta blocks from Node A
pullrun-runtime daemon --sync-addr 0.0.0.0:9501 \
--sync-peers node-a.example.com:9500
Each block verified by content hash before acceptance โ no trust required.
๐ง Backend Comparison
| Backend | Isolation | Platform | Boot Time | Best For |
|---|---|---|---|---|
| ๐ง Linux Containers (runc) | Process (namespace) | Linux, macOS, Windows (WSL2) | ~400 ms | Dev, CI/CD, dense packing |
| ๐ฅ Firecracker microVM | Per-VM kernel (KVM) | Linux x86_64, Windows (WSL2 x86_64) | ~500 ms cold / ~200 ms warm pool | Multi-tenant, untrusted workloads, compliance, fast-recycling sandboxes |
| ๐ Apple Virtualization | Per-VM kernel (Hypervisor.framework) | macOS Apple Silicon | ~160 ms | macOS dev, Apple Silicon CI |
๐๏ธ Architecture
pullrun (Go CLI)
pull ยท run ยท build ยท compose ยท inspect
events ยท stats ยท network ยท secret ยท mcp
โ
โ gRPC (UDS or TCP)
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ pullrun-runtime โ
โ โโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโ โ
โ โ Store โ โ Executor โ โ
โ โ (DAG) โ โ runc / VM โ โ
โ โ โ rkyv โ โ โ VmPool (warm) โ โ
โ โ โ mmap โ โ โ โ
โ โ โ DashMapโ โ โ โ
โ โโโโโโฌโโโโโโ โโโโโโโโฌโโโโโโโโ โ
โ โ โ โ
โ โโโโโโดโโโโโโโโโโโโโโโโโดโโโโโ โ
โ โ Network โ โ
โ โ IPAM ยท Proxy ยท DNS โ โ
โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ
โ โ
โ Sync ยท Policy ยท Secrets ยท Metrics โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโดโโโโโโโโโโโ
โ Kubernetes โ
โ CRI shim ยท Runtime โ
โ Class ยท Prometheus โ
โโโโโโโโโโโโโโโโโโโโโโโ
The store uses DashMap> for lock-free concurrent reads โ the first reader pays for mmap() + page faults, every subsequent reader is a single atomic load. The Rust workspace is eleven crates (store, oci, exec, vm, net, dns, vsock, sync, policy, runtime, init); the Go side is the CLI, CRI shim, compose, and control-plane stub.
๐ Project Layout
proto/ # Protobuf definitions (single source of truth)
runtime/ # Rust workspace โ core data plane
pullrun-store/ # Zero-copy DAG store (rkyv + mmap + DashMap concurrent cache)
pullrun-oci/ # OCI client + DAG converter
pullrun-exec/ # Executor trait + runc wrapper
pullrun-vm/ # Firecracker + Apple Virt backends, warm VM pool (pool.rs), pullrun-init guest agent
pullrun-net/ # IPAM, proxy, DNS, iptables, slirp4netns
pullrun-dns/ # In-process DNS server for workload resolution
pullrun-vsock/ # Vsock transport layer for VM guest-host communication
pullrun-sync/ # P2P block sync (Bloom, mDNS, gossip)
pullrun-policy/ # Cosign, SBOM, seccomp gates
pullrun-runtime/ # gRPC daemon
cli/pullrun/ # Go CLI (cobra) โ 30+ commands
cri/pullrun-cri/ # Kubernetes CRI shim
control-plane/ # Multi-node orchestration stub: pullrun-controller + pullrun-agent (v1 WIP)
cmd/pullrun-compose/ # Docker Compose-compatible CLI
deploy/ # K8s manifests, Prometheus rules, alerts
docs/ # Architecture, operations, policy, MCP
tools/ # Standalone smoke-test workspaces (apple-virt-exec, firecracker-smoke, etc.)
๐งช Testing
247 tests, 0 failures โ every commit is gated by the full suite (
cargo fmt --check,cargo test,go test ./...,golangci-lint).
| Suite | Stack | What it covers | Tests |
|---|---|---|---|
pullrun-store |
๐ฆ Rust | DAG store, rkyv round-trips, op-locks | 30 |
pullrun-runtime |
๐ฆ Rust | gRPC service, events, metrics, policy integration | 40 |
pullrun-vm |
๐ฆ Rust | network, ext4, OCI kernels, Apple Virt + Firecracker* | 28 |
pullrun-net |
๐ฆ Rust | IPAM, firewall, proxy, DNS, loopback | 18 |
pullrun-policy |
๐ฆ Rust | cosign, SBOM, gates | 17 |
pullrun-oci |
๐ฆ Rust | dockerfile parser, puller, converter, layouts | 16 |
pullrun-gc |
๐ฆ Rust | DAG garbage collection | 16 |
pullrun-sync |
๐ฆ Rust | P2P block sync, bloom, delta | 13 |
pullrun-vsock |
๐ฆ Rust | vsock transport | 9 |
pullrun-exec |
๐ฆ Rust | seccomp, rootless | 8 |
pullrun-init + build-initramfs |
๐ฆ Rust | guest agent, initramfs | 5 |
pullrun-cri |
๐น Go | CRI shim lifecycle, filestore | 20 |
pullrun-compose |
๐น Go | compose parsing, up/down flows |
15 |
pullrun CLI |
๐น Go | workload run, commands | 9 |
control-plane |
๐น Go | controller store | 9 |
| Total | 247 |
* 2 Firecracker hardware tests are #[ignore]d (need /dev/kvm) โ run manually:
cargo test -p pullrun-vm --test firecracker_boot -- --include-ignored --nocapture
cargo test # Rust workspace: 194 tests
go test ./... # Go modules (cri, cli, compose, control-plane): 53 tests
cargo fmt --all --check && golangci-lint run ./... # CI gates
End-to-end CRI behavior (exec stdin streaming, exit-code propagation, pod
teardown) is validated against a live crictl sandbox in a VM โ see
AGENTS.md release notes for the full lifecycle checklist.
๐ Documentation
| Document | What Youโll Find |
|---|---|
| docs/PULLRUN_GUIDE.md | Full user guide for all platforms |
| docs/ARCHITECTURE.md | DAG store design, executor trait, network model |
| docs/OPERATIONS.md | Deploying, monitoring, troubleshooting |
| docs/POLICY.md | Policy engine (cosign, SBOM, CVSS, license) |
| docs/WINDOWS.md | Windows/WSL2 setup, Firecracker, known issues |
| docs/ALL_MCP.md | MCP server reference (AI agent integration) |
| docs/cross-node-dag-sync.md | P2P block sync design |
๐ Technical Report
A technical report describing the architecture is available in /paper and archived on Zenodo: https://doi.org/10.5281/zenodo.20679669
๐ License
Apache 2.0 โ see LICENSE. Contributions subject to CLA.md.
ะฃััะฐะฝะพะฒะบะฐ
This server does not publish a one-line install command.
Open the repository installation guide