Hyperforge

Hyperforge is a Python monorepo for building and running agentic workflows on top of NucliaDB. It contains the Hyperforge orchestration/runtime service, a NucliaDB Agentic API service, and a set of reusable Hyperforge agent packages.

Repository Layout

• hyperforge/: core framework, REST API, workflow runtime, persistence, broker integration, and the optional web UI source.
• nucliadb_agentic_api/: NucliaDB-facing agentic API with ASK/search endpoints and MCP integrations.
• agents/: first-party Hyperforge agent packages that add workflow capabilities such as NucliaDB access, HTTP calls, MCP tools, static context, rephrasing, summarization, and routing.
• hyperforge/frontend/: Vue UI source bundled by the Hyperforge package when built.
• .github/workflows/: package build and release workflows for the core package and agent packages.

Packages

The workspace is managed with uv and Python 3.10 or newer.

Core packages:

• hyperforge: agentic framework runtime and API.
• nucliadb_agentic_api: NucliaDB Agentic API service.

Agent packages:

• hyperforge_conditional
• hyperforge_external
• hyperforge_generate
• hyperforge_historical
• hyperforge_http
• hyperforge_mcp
• hyperforge_nucliadb
• hyperforge_passthrough
• hyperforge_related
• hyperforge_remi
• hyperforge_rephrase
• hyperforge_restart
• hyperforge_restricted
• hyperforge_smart
• hyperforge_static
• hyperforge_static_string
• hyperforge_summarize

Development

Install dependencies:

uv sync

Install development dependencies:

uv sync --group dev

Run formatting:

make fmt

Run linting and type checks:

make lint

Run tests:

uv run pytest

Running Locally

Start the Hyperforge API:

uv run hyperforge-api

Start the NucliaDB Agentic API:

uv run nucliadb-agentic-api

Both services read configuration from environment variables through Pydantic settings. Important settings include NucliaDB reader/writer/search URLs, optional NucliaDB API keys, Valkey/Redis URL, service ports, and module loading configuration.

Open Source Readiness

This repository is licensed under the Apache License 2.0. See LICENSE.

Before publishing a release, review:

• Package metadata in each pyproject.toml, especially project URLs and package descriptions.
• Dockerfiles, which may need deployment-specific updates for public builds.
• Generated test cassettes and fixtures to ensure they do not contain secrets.
• CI/CD workflow secrets and publishing credentials.

Contributing

Contributions are welcome. Please format the code with make fmt, run make lint, and run the relevant tests before opening a pull request.

License

Apache-2.0

Disclaimer: This is not an officially supported Progress Software Corporation product.