graphfakos 0.0.1

Reusable graph viewer and provider contract for agent memory, source graphs, and knowledge graph workbenches

GraphFakos

Standalone provider-neutral graph lens for shared package viewers.

GitHub · PyPI · Website · X

graphfakos is a reusable graph lens for agent memory and source knowledge graphs. It provides provider-neutral graph DTOs, adapter protocols, static HTML rendering, local preview serving, and test helpers for package-owned graph viewers.

GraphFakos exists so packages such as Sophiagraph, PragmaGraph, OpenMinion, and third-party graph providers can share a visual graph workbench without sharing their internal graph truth or lifecycle semantics.

The name comes from Greek fakós (φακός), meaning lens; in this package it frames the shared graph workbench as a provider-neutral lens over nodes, edges, provenance, citations, and package-owned graph semantics rather than as a graph builder or memory store.

Initial Release Status

GraphFakos is a 0.0.1 semantic-alpha package. The initial public release is intended for local package integrations, adapter development, and visual graph inspection. The stable starting contract is the provider-neutral DTO model, GraphFakosProvider, static HTML export, local preview serving, console scripts, and reusable viewer assertions.

Trust and Brand Safety

• Official GitHub: https://github.com/openminion/graphfakos
• Official website: https://www.openminion.com
• Official X account: https://x.com/OpenMinion

graphfakos has no official token, coin, NFT, airdrop, staking program, treasury product, or investment offering. Any claim otherwise is unauthorized and should be treated as a scam.

graphfakos is a viewer and adapter-contract package. It does not infer facts, extract memories, ingest repositories, enforce OpenMinion runtime policy, or decide which graph items are true. Providers own their graph semantics and pass explicit nodes, edges, provenance, citations, and provider payloads into GraphFakos.

At a Glance

• package name: graphfakos
• console scripts: graphfakos, graphfakos-smoke, graphfakos-ui
• core contract: GraphFakosProvider
• graph envelope: GraphFakosGraph
• type marker: py.typed
• local viewer: static HTML and local preview server
• compatibility proof: fake third-party provider plus package viewer tests

Installation

python3.11 -m pip install graphfakos

For sibling-package development before the first PyPI release, install from a local checkout:

python3.11 -m pip install -e .

What the Package Provides

• provider-neutral graph DTOs for nodes, edges, provenance, citations, visual hints, and viewer requests
• a provider protocol that graph packages can implement without importing Sophiagraph, PragmaGraph, or OpenMinion
• a local graph workbench with explore, neighborhood, path, provenance, timeline, provider-status, and context-preview screens
• a public screen manifest with provider-neutral routes, labels, and summaries
• provider-neutral graph diagnostics for orphan nodes, duplicate edges, missing provenance/citation references, and provider warnings
• dependency-free navigation for node selection, edge inspection, query search, node-kind, edge-kind, tag, source, and score filters
• depth-aware neighborhood expansion and path source/target controls
• static HTML export for portable inspection
• a local HTTP preview server for interactive package development
• a fake fixture provider for tests and third-party adapter examples
• shared test assertions for graph viewer contracts

What the Package Does Not Provide

• durable memory persistence
• source ingestion
• fact extraction
• graph construction
• OpenMinion runtime policy
• Sophiagraph trust semantics
• PragmaGraph freshness or source semantics

Provider Adapter Contract

Providers implement GraphFakosProvider:

from graphfakos import GraphFakosProvider, GraphFakosRequest, GraphFakosGraph


class MyProvider:
    provider_id = "my_provider"
    provider_label = "My Provider"
    graph_role = "third_party"
    capabilities = ("search", "neighborhood", "path", "provenance")

    def load_graph(self, request: GraphFakosRequest) -> GraphFakosGraph:
        ...

GraphFakos understands how to display graph-shaped data. Providers own what their data means.

Package UI Wrappers

GraphFakos is the shared viewer implementation. Package-local *-ui commands should stay thin:

• sophiagraph-ui maps durable second-brain memory records into GraphFakos DTOs through Sophiagraph's adapter, then calls the shared viewer.
• pragmagraph-ui maps source/document/code graph snapshots into GraphFakos DTOs through PragmaGraph's adapter, then calls the shared viewer.
• future packages should implement a GraphFakosProvider adapter instead of copying viewer HTML, local-server behavior, navigation screens, or tests.

This keeps the visual workbench consistent while preserving each package's own storage, trust, freshness, and lifecycle semantics.

Examples

Render the built-in third-party fixture:

graphfakos-ui --screen explore --html-out graphfakos-ui-preview.html --json

Serve the local viewer:

graphfakos-ui --screen neighborhood --serve --open

Filter a graph and inspect an edge:

graphfakos-ui \
  --screen explore \
  --node-kind provider \
  --edge-kind serves \
  --selected-edge-id edge:provider-serves-spec \
  --html-out graphfakos-filtered.html \
  --json

Sophiagraph should expose a second-brain adapter that maps durable memories, candidates, trust signals, structural links, and provenance into GraphFakos DTOs. PragmaGraph should expose a third-brain adapter that maps source files, documents, symbols, chunks, citations, freshness, and provider status into the same DTOs.

Docs and Release

• API compatibility
• Release process
• Package docs
• Custom provider example
• UI contracts
• Source tree owner map

Run local release checks:

.venv/bin/python3.11 scripts/release_check.py --skip-twine --skip-wheel-smoke

License and Brand-use Boundary

GraphFakos is distributed under the Apache License 2.0. The license covers code use and contribution terms. It does not grant rights to imply endorsement by OpenMinion, Sophiagraph, PragmaGraph, or related project brands.