The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Omnigraph
Object-storage native graph database with branching and typed ontology
Install
$
npx skills add ModernRelay/omnigraph@omnigraphClaude Code
claude mcp add omnigraph -- npx skills add ModernRelay/omnigraph@omnigraphCursor / Claude Desktop (mcp.json)
{
"mcpServers": {
"omnigraph": {
"command": "npx",
"args": [
"skills",
"add",
"ModernRelay/omnigraph@omnigraph"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Object-storage native graph database with branching and typed ontology. Unified retrieval engine (vector/bm25/graph) · Git-style workflows · Open data format (Lance)
Quickstart · Docs · Cookbooks · CLI llms.txt
Omnigraph is engineered for the new workload introduced by long-horizon agents: Multiple agents sharing a typed world model to continuously retrieve and store context and coordinate work. Agents and UIs can become thin stateless consumers of a durable state.
Capabilities
| Capability | What it gives you |
|---|---|
| Typed ontology | Agents share one enforceable model of the domain. .pg schemas declare node and edge types, keys and constraints, and the engine enforces them on every write. |
| Multimodal retrieval | Agents assemble high-precision context in one query: graph traversal + vector ANN + full-text + Reciprocal Rank Fusion in one runtime, with filtering. |
| Branching | Agents propose reviewable changes instead of writing to main: a branch per agent or task, three-way merge, time travel across the whole graph. |
| Declared as code | A cluster.yaml declares graphs, schemas, stored queries, embedding providers and policies. cluster plan previews, cluster apply converges, Terraform-style. |
| Security as code | Cedar policy enforced server-side on every mutation, per graph or server-wide; bearer auth, server-resolved actors, audit tracking. |
| Object-storage native, open format | Scales at the lowest cost on local disk or any S3-compatible store: RustFS / MinIO, AWS S3 / R2 / GCS, Azure preview. Data lives in open, versioned Lance with native blob-as-data, and never leaves your store. |
What you can build
| Use case | What it's for |
|---|---|
| Company brain | Org knowledge unified into one graph every agent can query |
| Agentic memory | Durable, versioned memory: a branch per agent or per task, merged on review |
| Context graph | Decision traces and codified tribal knowledge for retrieval |
| Dev graph | Issues & dependency model that coding agents read and write |
| R&D / ML data layer | Experiments and trials written into branches, versioned for training & eval |
Install
curl -fsSL https://raw.githubusercontent.com/ModernRelay/omnigraph/main/scripts/install.sh | bash
This installs omnigraph (CLI) and omnigraph-server into ~/.local/bin from
published release binaries. Or with Homebrew:
brew tap ModernRelay/tap
brew install ModernRelay/tap/omnigraph
Set it up with an AI agent
Omnigraph is built to be run by coding agents. Two ways in:
Teach your agent the playbook. This repo ships the
omnigraph agent skill: the operational playbook
covering cluster mode, the two config surfaces, schema evolution, query linting,
data writes, branches, Cedar policy, and the common gotchas.
npx skills add ModernRelay/omnigraph@omnigraph
Or have an agent set it up from scratch. Paste this into Claude Code, Codex, or any agent that can read a URL and run a shell command:
Help me set up Omnigraph
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