nornir

The three Norns spin the thread of every fate — what has been, what is, what shall be.

nornir is a project-management tool with time-travel — your vegvísir (Old Norse: wayfinder) for a multi-crate Rust workspace. It manages a DAG of your plans and the DAG of your build dependencies, and remembers every version of both. The crossover of what Maven + Jira should have been.

What it does

• Release & document. Build, test, and bench-gate every crate, then cargo publish in dependency order — and (re)generate the README/CHANGELOG and a static website (PDF/HTML via typst) describing exactly what shipped.
• Plan. Connect real artifacts (source files, built binaries) and the inputs that drive them — a prompt or a written requirement (a krav, in any language) — into a Plan-DAG; topo_ready hands the next ready node to a human or an agent.
• Remember & time-travel. Historize every fact on Iceberg, keyed by git hash — the plan DAG, the full-text index, the dependency graph, bench/release lineage — then restore or query the workspace as of any past release.
• Explore. Full-text (Tantivy BM25) and semantic/vector search side by side, plus a syn/DWARF knowledge map (symbols, call graph) and dependency blast-radius across the workspace. Code is embedded with jina-v2-base-code (768-dim) and the vectors are materialized in the warehouse, so semantic search at any past git SHA is a warehouse read — never a re-embed or a git walk. Loading a repo's vector index is single-digit milliseconds (≈7 ms for ~120 vectors, ≈15 ms for ~430); embedding runs on CPU (pure-Rust tract) or GPU (ort + CUDA, ~100× faster) behind one Embedder interface.
• Diagrams from data. Because the whole workspace lives in the warehouse, any graph in it can be drawn as static SVG via typst (no Mermaid, no JS): the dependency graph below is generated, and the urdr-threads visualizer weaves release timelines and cross-repo dependency edges into time-travel threads.
• Guard & revert. Lock release-critical files (chmod -w) against chaotic AI agents, models, or teammates, and detect tampering against a recorded manifest. Because every version is keyed by git SHA in the warehouse, time-travel to find the culprit and roll back to a known-good release — the revert itself rides on git.
• Accelerate airgapped AI on large codebases. Every index and the Plan-DAG is served over MCP, so a local, offline agent works a huge workspace by query — no full-repo scans, and no code ever leaves the machine.

Design

• 100% Rust. git via gix, Apache Iceberg via iceberg-rust over nornir-catalog — a single-file redb catalog.
• One warehouse, append-only. Every fact is an Iceberg row keyed by git SHA: plan-DAG events, dependency edges, bench results, test outcomes, release lineage, full-text index snapshots, and code facts — symbols / call-edges from syn, and DWARF symbols read out of built binaries via gimli.
• One library, four binaries. nornir (CLI) · nornir-mcp (MCP/stdio, feature mcp) · nornir-server (gRPC/tonic, feature server) · urdr-threads (egui time-travel visualizer, feature viz). Build the CLI with cargo build; add --features mcp,server,viz as needed.

Documentation

The full reference — every subsystem chapter — is rendered by nornir docs book into a single manual under docs/ and historized in the warehouse:

• 📖 docs/book.pdf — the complete manual (PDF)
• 📝 docs/book.md — the same, as Markdown

It covers the design overview, docs generation, the Iceberg warehouse, the bench framework, and vector/semantic search. The rendered docs get their own full-text index — nornir docs search <repo> "<query>" — kept separate from the code index and time-travelable at any past git SHA.

Example

nornir manages owned repos — the holger artifact server and the znippy compression library — and maps their full build-dependency DAG down through the external crates they don't own, such as Apache Arrow. Inside a repo, cargo owns the workspace (build order and layout); nornir works at the repo level — it finds each repo's root Cargo.toml and only orders across repos. The nornir.toml lists the owned repos and their crates.io publish order; the dependency graph is derived from cargo metadata, internal crates kept separate from external ones:

[repo.holger]                                   # owned — artifact server
remote = "https://codeberg.org/nordisk/holger"

[repo.znippy]                                   # owned — compression library
remote = "https://codeberg.org/nordisk/znippy"
# crates.io upload order: members go up in dependency order — published
# versions are immutable, so it's sequential, not atomic.
publish_order = [
  ["znippy-common"],
  ["znippy-compress", "znippy-decompress"],     # phase 2, uploaded in parallel
]

nornir release run        # test → bench-gate → publish the owned crates, in dep order
nornir docs render holger # regenerate README + dependency diagram (owned + Apache Arrow, …)

Status

Working today: the warehouse, the plan DAG (funnel_* MCP tools), guard, config, bench history + regression gate, dependency-graph oracle, the knowledge map (syn), the Tantivy index + time-machine restore, semantic/vector search (materialized embeddings + git-SHA time-travel), docs generation, and the CLI / MCP / gRPC surfaces.

Vector search — measured

Full vectorization of real repos, then time-travel "load a vector blob" (reconstruct the in-memory index for a git SHA straight from the warehouse). Threadripper 3975WX (AVX2) + RTX 4090, f32 model:

Embedding throughput (same f32 model, one Embedder interface, two backends):

Loading a blob is GPU-independent (it's a columnar read); the GPU only accelerates embedding. Unchanged chunks are never re-embedded — a one-line edit at a fresh SHA re-embeds a single chunk and still loads in the same ~7/15 ms.