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* docs(readme): drop em-dashes, Cursor→Codex, rename agent section - Replace all 20 em-dashes with context-appropriate punctuation (colons, semicolons, parens, commas) — removes the AI-slop tell. - Cursor → Codex (the agent-host examples and the MCP host list). - "Drive it with an AI agent" → "Set it up with an AI agent". Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(readme): wordmark header + simplify query examples - Add the compact wordmark header (light/dark SVG, subtitle, nav row, restyled badges) from the header-redesign work; bring the wordmark assets with it. - Rewrite the Query and mutate examples to lead with the short, config-default form (no repeated --server/--graph) and aliases — showing how simple it is, not crazy-long lines. The verbose --server/--graph/--store form is demoted to a one-line "ad-hoc target" note. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
259 lines
11 KiB
Markdown
259 lines
11 KiB
Markdown
<p align="center">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="assets/omnigraph-wordmark-dark.svg">
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<img alt="OMNIGRAPH" src="assets/omnigraph-wordmark.svg" width="420">
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</picture>
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</p>
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<p align="center">
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<strong>Lakehouse graph database for context assembly & multi-agent coordination</strong><br>
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<sub>Multimodal retrieval · Git-style branching · object-storage native</sub>
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</p>
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<p align="center">
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<a href="docs/user/quickstart.md">Quickstart</a> ·
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<a href="docs/user/clusters/index.md">Docs</a> ·
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<a href="https://github.com/ModernRelay/omnigraph-cookbooks">Cookbooks</a> ·
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<a href="docs/user/cli/reference.md">CLI</a>
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</p>
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<p align="center">
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<a href="LICENSE"><img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-1b1b1f?style=flat-square&labelColor=1b1b1f"></a>
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<a href="https://crates.io/crates/omnigraph-cli"><img alt="crates.io" src="https://img.shields.io/crates/v/omnigraph-cli?style=flat-square&color=d71921&labelColor=1b1b1f"></a>
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<a href="rust-toolchain.toml"><img alt="Rust" src="https://img.shields.io/badge/rust-stable-1b1b1f?style=flat-square&labelColor=1b1b1f"></a>
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</p>
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<hr>
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Omnigraph is the operational state and coordination layer for fleets of agents.\
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Run it as a server, declared as code; hundreds of agents operate and enrich the graph on parallel isolated branches, and every change is reviewed and merged safely.
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## Key capabilities
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| Capability | What it gives you |
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|---|---|
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| **Declared as code** | A `cluster.yaml` declares graphs, schemas, stored queries, embedding providers, and policies; `cluster apply` converges it and `omnigraph-server` brings every graph online at `/graphs/{id}/…`. |
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| **Built for fleets of agents** | Hundreds of agents enrich the graph on **parallel isolated branches**; changes are reviewed and merged safely, Git-style, across the whole graph. |
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| **Multimodal retrieval** | Graph traversal + vector ANN + full-text + Reciprocal Rank Fusion in **one** query runtime, for context assembly. |
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| **Security as code** | Cedar policy enforced **server-side on every mutation**, per-graph and server-wide; bearer auth; actor/audit tracking. |
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| **Runs on your infrastructure** | Any S3-compatible object store: **on-prem via RustFS / MinIO**, or AWS S3 / R2 / GCS. VPC, on-prem, hybrid; your data never leaves your store. |
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| **Open, versioned storage** | [`Lance`](https://github.com/lance-format/lance) columnar format: branchable, time-travelable, with native blob-as-data (docs, images, video). |
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## What you can build
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| Use case | What it's for |
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|---|---|
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| **Company brain** | Org knowledge unified into one graph every agent can query |
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| **Agentic memory** | Durable, versioned memory: a branch per agent or per task, merged on review |
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| **Context graph** | Decision traces and codified tribal knowledge for retrieval |
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| **Dev graph** | Issues & dependency model that coding agents read and write |
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| **R&D / ML data layer** | Experiments and trials written into branches, versioned for training & eval |
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## Install
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```bash
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curl -fsSL https://raw.githubusercontent.com/ModernRelay/omnigraph/main/scripts/install.sh | bash
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```
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This installs `omnigraph` (CLI) and `omnigraph-server` into `~/.local/bin` from
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published release binaries. Or with Homebrew:
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```bash
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brew tap ModernRelay/tap
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brew install ModernRelay/tap/omnigraph
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```
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## Set it up with an AI agent
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Omnigraph is built to be run by coding agents. Two ways in:
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**Teach your agent the playbook.** This repo ships the
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[**`omnigraph` agent skill**](skills/omnigraph): the operational playbook
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covering cluster mode, the two config surfaces, schema evolution, query linting,
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data writes, branches, Cedar policy, and the common gotchas.
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```bash
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npx skills add ModernRelay/omnigraph@omnigraph
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```
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**Or have an agent set it up from scratch.** Paste this into Claude Code,
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Codex, or any agent that can read a URL and run a shell command:
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```text
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Help me set up Omnigraph
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1. Read the docs at https://github.com/ModernRelay/omnigraph, starting with
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docs/user/clusters/index.md, then docs/user/deployment.md.
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2. Skim the starter graphs and seed data in the cookbooks:
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https://github.com/ModernRelay/omnigraph-cookbooks
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3. Ask me what I want to build (company brain, agent memory, dev graph,
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research / R&D layer, …). Then stand up a cluster for it, load a little
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data, and run a query so I can see it working.
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```
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For ready-to-run graphs with real seed data (company brain, VC operating system,
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pharma & industry intel),
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[`ModernRelay/omnigraph-cookbooks`](https://github.com/ModernRelay/omnigraph-cookbooks)
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is the fastest way to see Omnigraph shaped to a real domain.
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## Deploy
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A deployment is a **cluster**: a **multigraph** config directory that declares
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its graphs, schemas, stored queries, and policies as code. You manage it
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**Terraform-style**: `cluster plan` previews the diff, `cluster apply` converges
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it. `omnigraph-server` then boots from the cluster and brings every graph online
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at `/graphs/{id}/…`, each behind its own policy.
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**1. Declare the cluster.**
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```
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company-brain/
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├── cluster.yaml
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├── people.pg # schema for the "knowledge" graph
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├── queries/ # stored queries: the .gq files ARE the declaration
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│ └── people.gq
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└── base.policy.yaml # a Cedar policy bundle
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```
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```yaml
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# cluster.yaml
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version: 1
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metadata:
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name: company-brain
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storage: s3://company/clusters/company-brain # ledger, catalog, and graph data live here
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graphs:
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knowledge:
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schema: people.pg
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queries: queries/ # every `query <name>` in queries/*.gq registers
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policies:
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base:
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file: base.policy.yaml
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applies_to: [knowledge] # graph-bound; use [cluster] for server-level
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```
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**2. Stand up your object store.** On-prem, run RustFS (or MinIO); Omnigraph
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writes [Lance](https://github.com/lance-format/lance) to it over the standard S3
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API. In the cloud, point the same `AWS_*` env at S3 / R2 / GCS instead.
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**3. Converge and run.** `apply` creates each graph, applies its schema, and
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publishes queries and policies into the content-addressed catalog. It is
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idempotent; re-running is always safe.
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```bash
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omnigraph cluster validate # parse + typecheck everything
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omnigraph cluster plan # preview what apply would do
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omnigraph cluster apply # converge
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# Boot the server from the cluster dir; storage resolves through cluster.yaml
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omnigraph-server --cluster company-brain --bind 0.0.0.0:8080
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```
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See the [cluster guide](docs/user/clusters/index.md) for the day-2 loop
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(edit → plan → apply → restart), approval gates for destructive changes, drift
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inspection, and recovery; the [deployment guide](docs/user/deployment.md) for
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containers, AWS/Railway, auth, and the full `AWS_*` contract.
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## Query and mutate
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Set a default server and graph once in `~/.omnigraph/config.yaml`, and the
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everyday commands stay short. Stored queries and mutations run **by name**:
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```bash
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omnigraph query search_docs --params '{"q":"AI safety"}'
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omnigraph mutate add_person --params '{"name":"Mina"}'
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# Branch, review, merge across the whole graph; agents write in isolation
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omnigraph branch create --from main agent/ingest-42
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omnigraph branch merge agent/ingest-42 --into main
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```
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An **alias** is shorter still: bind a server, graph, and stored query to one
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name, then `omnigraph alias triage` runs it. For an ad-hoc target, any command
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still takes `--server <name|url> --graph <id>` (or `--store <uri>` for a local
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graph). See the [CLI reference](docs/user/cli/reference.md).
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## Security & governance
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- **Engine-wide enforcement:** every write path goes through the same Cedar gate, so the HTTP server, the CLI, and the embedded SDK obey identical rules.
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- **Declared in the cluster:** a policy bundle is bound to graphs (or the whole server) via `policies:` → `applies_to`.
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- **Scoped:** rules apply per graph, per branch, or server-wide.
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- **No plaintext tokens:** bearer tokens are hashed at startup and compared in constant time.
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- **Forge-proof identity:** the actor is resolved server-side from the token; clients can't set it.
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See the [policy guide](docs/user/operations/policy.md).
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## Clients & SDKs
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| Client | Use it for | Where |
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| **TypeScript SDK** | typed access from Node / TS | [`@modernrelay/omnigraph`](https://www.npmjs.com/package/@modernrelay/omnigraph) · [source](https://github.com/ModernRelay/omnigraph-ts) |
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| **MCP server** | bridge Omnigraph to LLM hosts (Claude, Codex, …) | [`@modernrelay/omnigraph-mcp`](https://www.npmjs.com/package/@modernrelay/omnigraph-mcp) |
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| **HTTP / OpenAPI** | any language, the wire contract | the server's OpenAPI spec |
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| **Python SDK** | typed access from Python | *coming soon* |
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Both npm packages are versioned in lockstep with `omnigraph-server`.
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## Local quick test (no server)
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1-min setup to try it: an **embedded, local file-backed graph** (no server, no
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object store). For dev and experiments; production is the deployed cluster above.
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```bash
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cat > schema.pg <<'PG'
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node Signal { slug: String @key, title: String }
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node Pattern { slug: String @key, name: String }
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edge Indicates: Signal -> Pattern
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PG
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printf '%s\n' \
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'{"type":"Signal","data":{"slug":"s1","title":"OSS model adoption surging"}}' \
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'{"type":"Pattern","data":{"slug":"p1","name":"adoption"}}' \
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'{"edge":"Indicates","from":"s1","to":"p1"}' > data.jsonl
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omnigraph init --schema schema.pg ./graph.omni
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omnigraph load --data data.jsonl --mode overwrite --store ./graph.omni
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# "What pattern does signal s1 indicate?"
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omnigraph query --store ./graph.omni \
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-e 'query indicates() { match { $s: Signal { slug: "s1" } $s indicates $p } return { $p.name } }'
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# → adoption
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```
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## Docs
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- [Cluster guide](docs/user/clusters/index.md) · [Deployment guide](docs/user/deployment.md) · [CLI reference](docs/user/cli/reference.md)
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- [Schema](docs/user/schema/index.md) · [Queries](docs/user/queries/index.md) · [Search](docs/user/search/index.md) · [Policy](docs/user/operations/policy.md)
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## Build And Test
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```bash
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cargo build --workspace
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cargo test --workspace
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```
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Notes:
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- Rust stable toolchain, edition 2024
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- CI runs `cargo test --workspace --locked`
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- Full CI and some local test flows require `protobuf-compiler`
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- S3 integration tests expect an S3-compatible endpoint such as RustFS
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## Workspace Crates
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- `crates/omnigraph-compiler`: shared schema/query parser, typechecker, catalog, and IR lowering (zero Lance dependency)
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- `crates/omnigraph` (package `omnigraph-engine`): storage/runtime, branching, merge, change detection, query execution, and embeddings
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- `crates/omnigraph-policy`: Cedar policy compilation and enforcement
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- `crates/omnigraph-api-types`: shared HTTP wire DTOs used by both the server and the CLI
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- `crates/omnigraph-cluster`: cluster config validation, planning, and apply (the control plane)
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- `crates/omnigraph-server`: Axum HTTP server, cluster-first, runs N graphs under `/graphs/{id}/…`
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- `crates/omnigraph-cli`: CLI for graph lifecycle, query/mutate, branch/commit/merge, schema/lint, snapshot/export, cluster control, policy/queries, profiles, and maintenance
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## Contributing
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Please open an issue, spec, or design discussion before sending large code
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changes. Design feedback and concrete problem statements are the fastest way to
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collaborate on the roadmap.
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## Community
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Join the [Omnigraph Slack community](https://join.slack.com/t/omnigraphworkspace/shared_invite/zt-3wfpglyxj-lHvJGhuySPfqLtN35uJZNw)
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to ask questions, share feedback, and follow development.
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