Skip to main content

Epistemic Graph

Epistemic Graph logo

A durable graph database and reasoning engine for connected, evidence-rich data.
Property graph · SQL · RDF/OWL · vectors · time · provenance · multimodal records

PyPI - Version Documentation GitHub license Version Build GitHub Repo stars GitHub forks GitHub contributors GitHub last commit (by committer) GitHub pull requests GitHub closed pull requests GitHub issues GitHub top language GitHub language count GitHub repo size GitHub repo file count (file type) PyPI - Downloads PyPI - License PyPI - Wheel PyPI - Implementation

Documentation · Capabilities · Interfaces · Status

Overview

Epistemic Graph is a Rust-native database and compute engine for teams building knowledge systems, evidence-led applications, analytics, and agent memory. It stores and queries connected graph records, relational data, RDF/OWL knowledge, vectors, time-series, events, documents, and media through one engine.

Claims can retain their evidence, provenance, confidence, and time of validity, so applications can inspect why information is present and how it changes. Use Epistemic Graph directly through its clients and query interfaces, or as the durable knowledge layer beneath Graph OS and Agent Utilities. Epistemic Graph is the database; agent execution and connector runtimes live in their respective ecosystem projects.

Key capabilities

Capability What it provides
One multi-model engine Property graph, relational tables, RDF, vectors, time-series, events, blobs, and media
Query across interfaces UQL, SQL, SPARQL, Cypher/Bolt, GraphQL, and typed native clients
Semantic constraints OWL reasoning, SHACL validation, and ShEx shape validation
Evidence-aware knowledge Claims, provenance, confidence, contradiction handling, and bitemporal validity
Durable operation Commit-before-ack persistence, audit, change data capture, tenant isolation, and observability
Distributed deployment Single-node operation and an optional cluster build with replication and coordinated placement

Check the capability matrix and generated method ledger for the current behavior of each operation.

Packages

This repository publishes two PyPI packages and one container image, all at the same version.

Artifact Contents Install
epistemic-graph The Python client, the in-process engine module and the numeric kernel. Carries no executable. pip install epistemic-graph
epistemic-graph-server The native epistemic-graph-server executable (Linux x86_64 and aarch64) and epistemic_graph_server.binary_path(). Source in packaging/epistemic-graph-server. pip install epistemic-graph-server
epistemic-graph[server] The client plus the server package pinned to the same version. pip install "epistemic-graph[server]"
epistemic-graph-server image The server binary on a slim base, one tag for linux/amd64 and linux/arm64, built from the server wheel. docker pull <registry-user>/epistemic-graph-server:<version>

Documentation

  • Start here for a guided engine tour.
  • Interfaces explains UQL, SQL, SPARQL, Cypher, GraphQL, vectors, time-series, and clients.
  • Architecture covers query execution, reasoning, storage, and distribution.
  • Deploy Epistemic Graph covers durable server, TLS, containers, and clusters.
  • Operations covers day-two procedures and recovery.

Architecture

People use browser, terminal, desktop, or messaging clients. Graph OS serves clients. Agent Utilities coordinates agents. Epistemic Graph stores knowledge. Connectors synchronize source systems.

Epistemic Graph architecture: authenticated interfaces feed a unified planner, which composes graph, semantic, analytical, temporal, and multimodal engines over one durable store.

People use the Agent Web UI, Agent Terminal UI (through the Graph OS REST API), Geniusbot, or the messaging services hosted by Graph OS. External applications and agents connect through Graph OS using MCP, REST, or A2A. Graph OS governs the runtime boundary, Agent Utilities coordinates agents and workflows, and Epistemic Graph stores and reasons over their durable knowledge. Source systems enter through Agent Connector SDK, which commits typed source data to the graph.

This repository owns Ecosystem projects own
Durable graph and multimodal state, query planning, semantic reasoning, transaction behavior, and engine authorization Graph OS owns MCP/REST/A2A entrypoints, runtime policy, messaging services, and frontend hosting
Generated engine contracts and capability truth Agent Utilities owns agents, workflows, skills, evaluation, and the agent control plane
Source-ingestion admission, schema validation, evidence, and provenance commits Agent Connector SDK owns connector execution and source-system adapters
Database and compute execution Agent Web UI, Agent Terminal UI, and Geniusbot provide user-facing clients

Quick start

Install the release wheel and open an in-process graph. This mode is explicit, ephemeral, and needs no server or TLS configuration.

python -m pip install epistemic-graph
python -m epistemic_graph.cli status  # no server is expected in embedded mode
python - <<'PY'
import msgpack
from epistemic_graph.engine import Engine

engine = Engine(persist_dir=":memory:")
engine.create_graph("demo")
engine.add_node(
    "demo",
    "node:hello",
    msgpack.packb({"kind": "Greeting"}, use_bin_type=True),
)
print(engine.has_node("demo", "node:hello"), engine.node_count("demo"))
PY

Expected output:

Status: NOT RUNNING (no PID file)
True 1

For durable storage, authenticated clients, containers, TLS, or clustering, continue with Deploy Epistemic Graph.

Contributing

Issues and pull requests are welcome. See CONTRIBUTING.md for development setup and review gates. Architecture and implementation guidance for coding agents lives in AGENTS.md.

License

Licensed under the MIT License.

Metadata

Release files for epistemic-graph 2.27.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for epistemic-graph 2.27.1
File
epistemic_graph-2.27.1-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
epistemic_graph-2.27.1-cp39-abi3-manylinux_2_28_x86_64.whl CPython 3.9 abi3 Linux glibc 2.28+ x86-64 Details
epistemic_graph-2.27.1-cp39-abi3-manylinux_2_28_aarch64.whl CPython 3.9 abi3 Linux glibc 2.28+ ARM64 Details
epistemic_graph-2.27.1-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details

Total release size: 32.6 MB

Release files / epistemic_graph-2.27.1-cp39-abi3-win_amd64.whl

Download URL epistemic_graph-2.27.1-cp39-abi3-win_amd64.whl
Size 8.9 MB
Tags CPython 3.9 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
8e7e5751acd295cfea31654e07b2fb2180467475410e9c1505c4150a8fbbb358
BLAKE2b-256 checksum
How to use checksums
8ef1bd74d1d56a879f352a52016043658d6211e6af6fcc2a316dbf3a7c30fb40
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.10

Release files / epistemic_graph-2.27.1-cp39-abi3-manylinux_2_28_x86_64.whl

Download URL epistemic_graph-2.27.1-cp39-abi3-manylinux_2_28_x86_64.whl
Size 8.4 MB
Tags CPython 3.9 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
df997e55cb2c0ee73da3ac33fb96a723ce79529aac58bc41d05cb950bf15ba60
BLAKE2b-256 checksum
How to use checksums
c032a85902e5d893a1a8c401c7676d116c653e432dcb51928571a89b9501c81b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / epistemic_graph-2.27.1-cp39-abi3-manylinux_2_28_aarch64.whl

Download URL epistemic_graph-2.27.1-cp39-abi3-manylinux_2_28_aarch64.whl
Size 7.7 MB
Tags CPython 3.9 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
e21eb5ba8094c38c53bc3b5aaba006dbe64fef98d0df25e17c8e3bad9d1d604f
BLAKE2b-256 checksum
How to use checksums
957b64e94ee7e36ba23fd361bce5551eafea91713e787c5cb624a1261421e304
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / epistemic_graph-2.27.1-cp39-abi3-macosx_11_0_arm64.whl

Download URL epistemic_graph-2.27.1-cp39-abi3-macosx_11_0_arm64.whl
Size 7.6 MB
Tags CPython 3.9 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
501fa6457c16678365758f9fd75bc3dcb0a3b933008a140eec956ff7596bd33e
BLAKE2b-256 checksum
How to use checksums
ac9e93cbdebf7712eed211f6f723495b24cd0939a0194bafd2e4d5a94c8e08d6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.10
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page