* fix(engine): lower date/datetime filter literals as typed Arrow scalars `literal_to_expr` lowered `Date`/`DateTime` query literals as Utf8 strings, relying on DataFusion implicit casts. Against a physical `Date32`/`Date64` column that can coerce the column side (`CAST(col AS Utf8)`), which defeats a scalar BTREE and degrades the scan to a full filtered read. Lower to typed `Date32`/`Date64` scalars instead (reusing the loader's `parse_date32_literal`/`parse_date64_literal`, already used by the in-memory comparison arm), so the predicate stays a direct column comparison and the index is used. Malformed literals fall back to the Utf8 string so pushdown behavior never regresses. Tests: unit goldens asserting the lowered literal is typed (red before, green after) + inline-binding pushdown equality in literal_filters confirming the epoch conversion selects the right rows. * fix(engine): build scalar BTREE for enum and orderable-scalar @index columns `build_indices_on_dataset_for_catalog` only handled `String` (-> FTS) and `Vector` (-> vector). Enums are physically `String`, so an enum `@index` column (e.g. `status`) got an FTS inverted index, which Lance never consults for `=`; and `DateTime`/`Date`/numeric/`Bool` `@index` columns fell through and built nothing. Both meant equality/range filters degraded to full scans with `indices_loaded=0`. Dispatch index kind by property type via a shared `node_prop_index_kind`: enum + orderable scalar -> BTREE, free-text String -> FTS, Vector -> vector, list/Blob -> none. The helper is shared by the builder and `needs_index_work_node` so they cannot drift — the latter decides recovery- sidecar pinning, and under-reporting would leave a HEAD-advancing index build uncovered (invariant 5). Tests: scalar_indexes.rs asserts enum/DateTime/numeric @index columns report `IndexCoverage::Indexed` while free-text String/un-annotated columns stay `Degraded` (negative control). Docs: docs/user/indexes.md. * feat(engine): reindex in optimize to keep index coverage current A scalar/FTS/vector index only covers the fragments it was built over. Rows appended after the build (e.g. `ingest --mode merge`, whose commit does not rebuild an existing index) are scanned unindexed, and `compact_files` rewrites fragments out of coverage. Nothing folded them back in, so coverage decayed as the graph grew — even the id/src/dst BTREEs that power traversal. `optimize_one_table` now runs Lance `optimize_indices` after `compact_files` (incremental merge, not retrain — the same compact->optimize_indices sequence LanceDB's `optimize()` uses) and enters the publish path on compaction work OR stale index coverage (new `TableStore::has_unindexed_fragments`, reusing the fragment_bitmap logic). `optimize_indices` is a committing call with no uncommitted variant in lance-6.0.1, so it is an inline-commit residual covered by the existing `SidecarKind::Optimize` recovery sidecar spanning both ops. Blob-bearing tables are still skipped (the Lance blob-compaction bug is compaction-specific; reindex-for-blob deferred as a noted follow-up). Tests: maintenance.rs asserts an appended fragment is uncovered before and covered after optimize, and idempotency holds (second pass is a no-op). lance_surface_guards pins the `optimize_indices` signature and its incremental- coverage behavior. The existing optimize Phase-B recovery failpoint now also exercises a crash after reindex. Docs: maintenance.md, writes.md, invariants.md, lance.md, AGENTS.md. * fix(engine): coerce pushdown filter literals to the column type Filter literals were pushed to Lance in their natural Arrow type (every integer Int64, every float Float64). Against a narrower indexed column DataFusion widens to the literal's type and casts the COLUMN (`CAST(n32 AS Int64)`), which defeats the scalar BTREE and degrades to a full filtered read. A physical-plan probe confirms it: an Int32 column filtered by an i32 literal uses `ScalarIndexQuery`; by an i64 literal it does not. Thread the scan's `arrow_schema` through `build_lance_filter_expr` -> `ir_filter_to_expr` and coerce each literal operand to the opposite column's exact Arrow type, reusing `projection::literal_to_array` + `arrow_cast` (the same path the in-memory arm uses, so the two arms agree). Coercion never demotes a filter to None: on failure it falls back to the natural literal, because a node scan has no in-memory fallback for inline filters. Supersedes the date-specific change in |
||
|---|---|---|
| .cargo | ||
| .context | ||
| .github | ||
| crates | ||
| docker | ||
| docs | ||
| scripts | ||
| .dockerignore | ||
| .gitignore | ||
| AGENTS.md | ||
| Cargo.lock | ||
| Cargo.toml | ||
| CLAUDE.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| GOVERNANCE.md | ||
| LICENSE | ||
| og-cheet-sheet.md | ||
| omnigraph.example.yaml | ||
| openapi.json | ||
| README.md | ||
| rust-toolchain.toml | ||
| SECURITY.md | ||
Omnigraph
Lakehouse native graph engine built for context assembly
Omnigraph acts as operational state & coordination layer for agents
- Git-style versioning & branching
- Multimodal retrieval (graph+vector/fts+filters) optimized for context assembly
- Object storage native (S3, RustFS)
- Native blob-as-data support (docs, images, videos, etc)
- VPC, On-prem, hybrid deployment
Lanceformat as open storage layer
| AS CODE | What it means |
|---|---|
| Schema AS CODE | Typed .pg schemas, planned, applied, enforced |
| Context AS CODE | Linted queries & agentic nudges, versioned and reusable |
| Security AS CODE | Cedar policies enforced server-side on every mutation |
| Dashboards AS CODE | Declarative views & controls over the graph (coming) |
Core Use Cases
| Use case | What it's for |
|---|---|
| Company brain | Org knowledge unified into one queryable graph |
| Context graph | Decision traces and codified tribal knowledge |
| Agentic memory | Durable, versioned memory for long-running agents |
| Dev graph | Issues & dependency model for coding agents |
| R&D data layer | Experiments & trials data written into branches |
| ML workflows | Versioned, branchable graphs for training & eval |
| Karpathy's LLM wiki | A living, agent-updatable knowledge base |
Quick Install
curl -fsSL https://raw.githubusercontent.com/ModernRelay/omnigraph/main/scripts/install.sh | bash
This installs omnigraph and omnigraph-server into ~/.local/bin from
published release binaries.
Or install with Homebrew:
brew tap ModernRelay/tap
brew install ModernRelay/tap/omnigraph
For starter graphs and agent skills to bootstrap and operate Omnigraph, see ModernRelay/omnigraph-cookbooks.
One-Command Local RustFS Bootstrap
curl -fsSL https://raw.githubusercontent.com/ModernRelay/omnigraph/main/scripts/local-rustfs-bootstrap.sh | bash
That bootstrap:
- starts RustFS on
127.0.0.1:9000 - creates a bucket and S3-backed graph
- loads the checked-in context fixture
- launches
omnigraph-serveron127.0.0.1:8080
Docker must be installed and running first.
The RustFS bootstrap prefers the rolling edge binaries and only falls back to
source builds when release assets are unavailable.
If a previous run left objects under the same graph prefix but did not finish
initializing the graph, rerun with RESET_REPO=1 or set PREFIX to a new
value.
Common Commands
The same URI works for local paths, s3://…, or http://host:port.
omnigraph init --schema ./schema.pg ./graph.omni
omnigraph load --data ./data.jsonl ./graph.omni
omnigraph read --query ./queries.gq --name get_person --params '{"name":"Alice"}' ./graph.omni
omnigraph change --query ./queries.gq --name insert_person --params '{"name":"Mina"}' ./graph.omni
omnigraph branch create --from main feature-x ./graph.omni
omnigraph branch merge feature-x --into main ./graph.omni
See docs/user/cli.md for schema apply, snapshots, data loading, commits, and policy commands.
Clients
For programmatic access to a running omnigraph-server:
-
TypeScript SDK —
@modernrelay/omnigraph(source). Instance-per-client, typed errors, camelCase types, async-iterator streaming export.npm install @modernrelay/omnigraph -
Model Context Protocol server —
@modernrelay/omnigraph-mcp(source). Bridges Omnigraph to LLM hosts (Claude Desktop, Claude Code, …) over stdio. Exposes tools and resources for schema, branches, queries, mutations, ingest, and bundles curated best-practices guidance from the cookbook.npm install -g @modernrelay/omnigraph-mcp
Both packages are versioned in lockstep with omnigraph-server on major.minor: @modernrelay/omnigraph@X.Y.* targets omnigraph-server@X.Y.*. See ModernRelay/omnigraph-ts for the monorepo.
Docs
Build And Test
cargo build --workspace
cargo check --workspace
cargo test --workspace
Notes:
- Rust stable toolchain, edition 2024
- CI runs
cargo test --workspace --locked - Full CI and some local test flows require
protobuf-compiler - S3 integration tests expect an S3-compatible endpoint such as RustFS
Workspace Crates
crates/omnigraph-compiler: shared schema/query parser, typechecker, catalog, and IR loweringcrates/omnigraph: storage/runtime, branching, merge, change detection, and query executioncrates/omnigraph-cli: CLI for graph lifecycle (init/load), query/mutate, branch/commit/merge, schema/lint, snapshot/export, policy, and maintenance (optimize/cleanup)crates/omnigraph-server: Axum HTTP server for remote reads, changes, ingest, export, branches, and commits
Contributing
Please open an issue, spec, or design discussion before sending large code changes. Design feedback and concrete problem statements are the fastest way to collaborate on the roadmap.
Community
Join the Omnigraph Slack community to ask questions, share feedback, and follow development.