Skip to main content

Orchestrator that walks tasks through composable process pipelines using AI agents

Project description

hyperloop

A reconciler that keeps code in sync with specs using AI agents. Specs are desired state. Code is actual state. Hyperloop continuously closes the gap.

Spec (desired) <-> Code (actual) = Gap
Gap -> Work -> PR -> Gate -> Merge -> Gap closed

You don't manage tasks -- you manage specs. Tasks are an internal implementation detail, like Kubernetes pods. Want to add a feature? Update the spec. Want to cancel it? Remove it from the spec.

Prerequisites

  • Python 3.12+
  • kustomize on PATH
  • git
  • gh CLI (for GitHub PR operations)
  • An Anthropic API key, or Vertex AI / Bedrock credentials

Install

pip install hyperloop

Quickstart

mkdir my-project && cd my-project && git init && git commit --allow-empty -m init

# Write a spec
cat > specs/auth.md << 'EOF'
# User Authentication
Implement JWT-based auth. POST /auth/login, POST /auth/register, GET /auth/me.
Passwords hashed with bcrypt. JWTs expire after 24h.
EOF

# Initialize hyperloop structure
hyperloop init

# Run the orchestrator
export ANTHROPIC_API_KEY=your-key  # or CLAUDE_CODE_USE_VERTEX=1
hyperloop run

# With GitHub PR support
hyperloop run --repo owner/repo

Reconciliation Cycle

Each cycle has four phases:

  1. COLLECT -- reap finished workers, run cycle hooks (e.g. process-improver)
  2. INTAKE -- detect spec gaps and failed tasks, invoke PM agent to propose new work
  3. ADVANCE -- advance existing tasks through pipeline steps (gates, actions)
  4. SPAWN -- decide which tasks need workers, compose prompts, spawn agents

The orchestrator halts when no gaps remain. Use hyperloop watch for continuous operation.

Pipeline Primitives

Work moves through a pipeline defined in process.yaml. Five primitives:

Primitive What it does
agent: X Spawn a worker agent with X's prompt template
gate: X Block until an external signal (e.g. PR label, CI status)
action: X Execute an operation with optional args: (e.g. merge PR, mark ready)
check: X Evaluation step (mechanical or agent-backed) with optional args: and evaluator:
loop: Wrap steps -- on fail restart from top, on pass continue

Example pipeline:

pipeline:
  - loop:
      - agent: implementer
      - agent: verifier
      - action: mark-pr-ready
      - action: post-pr-comment
        args:
          body: "@coderabbit recheck"
      - check: pr-review
        evaluator: pr-reviewer
        args:
          require_reviewers: ["coderabbitai"]
  - action: merge-pr

Checks have three outcomes: PASS (advance), FAIL (restart loop), WAIT (stay, re-evaluate next cycle). When evaluator: is set, the check spawns an agent to evaluate after mechanical pre-conditions pass.

Framework-shipped actions and checks:

Step Type What it does Config
merge-pr action Rebase, wait for mergeable, squash-merge --
mark-pr-ready action Mark a draft PR as ready for review --
post-pr-comment action Post a comment on the task's PR args: {body: str}
pr-review check CI + reviewer pre-checks, then agent evaluates PR feedback evaluator: pr-reviewer; args: {require_reviewers: [str]}

Project Structure

After hyperloop init:

my-project/
├── .hyperloop.yaml                     # orchestrator config
├── .hyperloop/
│   ├── agents/
│   │   ├── kustomization.yaml          # composition point (base + process component)
│   │   └── process/
│   │       ├── kustomization.yaml      # process-improver writes here
│   │       └── process.yaml            # pipeline + gate/action/hook config
│   ├── state/
│   │   ├── tasks/                      # task metadata (YAML frontmatter)
│   │   └── reviews/                    # per-round review files
│   └── checks/                         # executable check scripts
└── specs/
    └── *.md                            # product specs (your domain)

specs/ is yours -- product specs only. .hyperloop/ is orchestrator-managed.

Prompt Composition

Three layers, resolved via kustomize build:

Layer Source What it provides
Base hyperloop repo base/ Core agent prompts
Project overlay gitops repo or in-repo patches Project-specific guidelines
Process overlay .hyperloop/agents/process/ Learned rules from process-improver

At compose time the orchestrator injects: prompt + guidelines + spec content + findings from prior rounds.

Configuration

All configuration lives in .hyperloop.yaml at the repo root. CLI flags override YAML values.

# .hyperloop.yaml

repo: owner/repo                        # GitHub repo (inferred from git remote if omitted)
overlay: .hyperloop/agents/             # kustomize overlay directory
base_branch: main                       # base branch for PRs and rebasing
runtime: local                          # local | ambient

max_workers: 6                          # parallel agent workers
poll_interval: 30                       # seconds between cycles
max_task_rounds: 50                     # max implement-verify loops per task
max_cycles: 200                         # max orchestrator cycles
max_action_attempts: 3                  # action retries before looping back

merge:
  auto_merge: true                      # auto-merge approved PRs
  strategy: squash                      # squash | merge | rebase
  delete_branch: true                   # delete branch after merge

notifications:
  type: github-comment                  # github-comment | null

observability:
  log_format: console                   # console | json
  log_level: info                       # debug | info | warning | error
  matrix:                               # optional Matrix notifications
    homeserver: https://matrix.example.com
    room_id: "!abc123:matrix.example.com"
    token_env: MATRIX_ACCESS_TOKEN
  otel:                                 # optional OpenTelemetry
    endpoint: http://localhost:4317
    service_name: hyperloop

dashboard:
  enabled: false                        # enable activity dashboard
  events_limit: 1000                    # max retained events

See docs/configuration.md for the full reference with all options, defaults, and environment variables.

CLI

hyperloop run [--path .] [--repo owner/repo] [--branch main] [--config .hyperloop.yaml] [--max-workers 6] [--dry-run]
hyperloop init [--path .] [--base-ref REF] [--overlay REF]
hyperloop dashboard [--path .] [--port 8787]

Custom Processes

Override the default pipeline in .hyperloop/agents/process/process.yaml:

apiVersion: hyperloop.io/v1
kind: Process
metadata:
  name: default

pipeline:
  - loop:
      - agent: implementer
      - agent: verifier
  - action: mark-pr-ready
  - gate: pr-require-label
  - action: merge-pr

gates:
  pr-require-label:
    type: label                         # label (default: lgtm) | pr-approval | ci-status | all

hooks:
  after_reap:
    - type: process-improver

Gates are pure queries with no side effects. PR lifecycle actions (marking ready, posting comments) are separate action: steps that you place wherever you need them in the pipeline.

Architecture

Hexagonal (ports and adapters). The domain is pure logic with no I/O. Ports define interfaces, adapters implement them. Seven concerns are separated:

Port Purpose
SpecSource Where to read desired state
StateStore Where task/worker state lives
Runtime Where agent sessions execute
GatePort How gates are evaluated
ActionPort How pipeline actions execute
NotificationPort How humans are told to act
OrchestratorProbe Domain observability

The default adapter set is git-native (git state store, git spec source, local worktrees for agent isolation), but the architecture is adapter-agnostic.

See specs/spec.md for the full specification.

Development

uv sync --all-extras
uv run pytest
uv run ruff check . && uv run ruff format --check .
uv run pyright

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyperloop-0.37.0.tar.gz (374.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hyperloop-0.37.0-py3-none-any.whl (108.1 kB view details)

Uploaded Python 3

File details

Details for the file hyperloop-0.37.0.tar.gz.

File metadata

  • Download URL: hyperloop-0.37.0.tar.gz
  • Upload date:
  • Size: 374.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hyperloop-0.37.0.tar.gz
Algorithm Hash digest
SHA256 91f3658f3f68044f68787580bd4ce2da49d1a96ac04249eb563b6af6aac43137
MD5 297366aa1135188735cc9392ce167249
BLAKE2b-256 37455b738d8336657a8a005153cc2e5395a7934d6f4252f80b132ce5ece30c5b

See more details on using hashes here.

Provenance

The following attestation bundles were made for hyperloop-0.37.0.tar.gz:

Publisher: release.yaml on jsell-rh/hyperloop

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hyperloop-0.37.0-py3-none-any.whl.

File metadata

  • Download URL: hyperloop-0.37.0-py3-none-any.whl
  • Upload date:
  • Size: 108.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hyperloop-0.37.0-py3-none-any.whl
Algorithm Hash digest
SHA256 26708f9a17b97964a6c24574d71e7f4c97f43f35f83fa2f97b2e6017f7bf2aa7
MD5 9f51ee03675d26a8c920a532ec93d1a7
BLAKE2b-256 e889a97546fc62b75d4c0846bc8fc3bbbbfccd8c11e4feea395c8bcaed4552f9

See more details on using hashes here.

Provenance

The following attestation bundles were made for hyperloop-0.37.0-py3-none-any.whl:

Publisher: release.yaml on jsell-rh/hyperloop

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page