Hashloom MCP Server

hashloom

Hashloom treats software units as content-addressed contracts rather than files. An MCP server that makes agent regeneration loops cheap.

Because contracts are content-addressed and dependency-aware, agents reuse verification, compute blast radius precisely, and regenerate code from a few hundred tokens of context instead of re-reading whole files. Build systems ask which files changed. Hashloom asks which software obligations changed.

The name is a coinage that says exactly what it is: a loom keyed by hashes. On a loom, the warp threads are the fixed, durable strands, and the shuttle weaves disposable weft through them. Contracts are warp. Code is weft. (Until 0.3.3 this project shipped as heddle-mcp; the engine is unchanged.)

The problem

Agents repeatedly pay to rediscover software structure. Spec-driven development tools made specs the durable artifact and code regenerable, but they run on plain files, so every regeneration loop re-derives what the project already knows:

1. Context acquisition is expensive. Regenerating one unit means re-reading whole spec and source files: thousands of tokens to learn what a few hundred convey.
2. Verification is uncached. Every regeneration re-runs (and re-reads the output of) the full relevant test surface, even for units whose contracts haven't changed.
3. Blast radius is by convention, not mechanism. When a spec changes, nothing tells the agent precisely which dependents are invalidated.

The model

Hashloom treats each software unit as a content-addressed contract with explicit dependencies, not a file. A contract is a small YAML spec (signature, invariants, examples, dependency names); the implementation behind it is regenerable weft. Because every contract is hashed and its dependencies are named, the structure an agent keeps re-deriving from files becomes something hashloom computes once and serves.

Outcomes

The model buys three things, all mechanical:

• Verification caching. A green test result is keyed on the contract, implementation, and dependency hashes, and served from cache until one of them changes. pytest runs only on a real miss.
• Mechanical blast radius. A contract change reports the exact set of invalidated dependents, transitively and by hash, not by convention.
• Tiny context packets. An agent regenerating a unit gets the contract, its dependencies' signatures, and its callers as one packet of a few hundred tokens, instead of the whole file closure.

The number

Same three regeneration tasks on a 20-contract sample project, once with raw file reads, once through hashloom (tiktoken cl100k, reproduce with uv run python bench/benchmark.py):

Raw mode counts what a file-based agent reads per task: the unit's spec file, every transitive dep's spec file, every source module in the dep closure, the unit's test file, and the output of running the suite. It is deliberately generous to the baseline: it assumes the agent already knows the exact dependency closure, which is precisely the thing hashloom computes for you.

The same methodology sweeps every unit of all four example projects — Python, Go, TypeScript, and Java — via bench/sweep.py, and works on any hashloom project including yours. Full sweeps average lower than the gate (they count the leaf types that barely benefit); the ratio tracks dependency depth, so deeper projects score higher. All the numbers, their distributions, and the honest caveats live in docs/benchmarks.md.

Quickstart

pip install hashloom
# or from source: pip install "git+https://github.com/davet47/hashloom"

cd your-project
hashloom init                 # creates .hashloom/ and contracts/
hashloom index                # builds the store from contracts/

Point Claude Code at it:

claude mcp add hashloom -- hashloom serve

(Stdio transport; the server resolves the project by walking up from its working directory to the nearest .hashloom/.)

New to the workflow? docs/getting-started.md walks through building a package contract-first with an agent — the working rules to give it, the review loop, and the verify gate.

Contracts

One YAML file per unit in contracts/. Minimal, hand-writable, hashable:

name: revenue_by_region
signature: "(sales: list[Sale]) -> dict[Region, float]"
deps: [Sale, Region]            # other contract names
invariants:
  - excludes sales where completed is false
  - excludes sales with null amount
examples:
  - in:  "[Sale(region='QLD', amount=10, completed=True)]"
    out: "{'QLD': 10.0}"
tests: [tests/test_revenue.py::test_revenue_by_region]   # pytest node IDs
impl: src/revenue.py::revenue_by_region                  # current woven weft
status: inferred        # reverse-engineered, not yet human-reviewed; omit once confirmed

Subdirectories are namespaces: contracts/billing/invoice.yaml is the contract billing/invoice, so the same short name can live in different folders. A contract's name must match its path under contracts/.

When to write a contract

A contract belongs on a stable seam: an interface other units depend on and that you expect to outlive its current implementation. The implementation behind it is disposable weft, regenerated freely. Dropping a contract where it does not earn that place is correct use, not a failure. The failure mode is the opposite, over-pinning interiors you would happily rewrite, which turns the durable layer into busywork.

Contracts are reviewed artifacts. Authoring one is cheap and getting cheaper, so the real cost is reviewing it, not writing it. A wrong contract is worse than no contract, because the durable artifact now lies: agents will regenerate code to satisfy a spec that is itself incorrect. Review a contract the way you review an interface, not the way you skim generated code.

A contract an agent reverse-engineers from existing code can declare that it hasn't earned that review yet: status: inferred. Tools then flag — never refuse — any blast-radius or verification answer that rests on it (inferred: true on dependents, an inferred list on verify results, a review queue in status). Absent means confirmed, and confirming an inferred contract after review is free: status is provenance, not meaning, so the flip invalidates nothing.

Hashing semantics

• Contract hash: sha256 over a canonical form: keys sorted, whitespace normalised, comments stripped, example order preserved, dep order ignored. impl, tests, invariants, and status are excluded, so relocating files never invalidates, rewording an invariant is free, and confirming an inferred contract never invalidates anything. Invariants are documentation, not a machine obligation; the real check is the tests, whose source is in the verification key.
• Impl hash: sha256 over the normalised AST of the implementation, so reformatting and comment edits never bust the cache. Docstrings are stripped too.
• Verification key: (contract hash, impl hash, test-source hash, toolchain identity, transitive dep contract hashes). Hashloom caches verification results, keyed so that a change to any contract in the closure, to the implementation, to a test's own source, or to the toolchain version forces a re-run. The toolchain component (python 3.11.7, go 1.21.5, node <v> ts <v>, java 21.0.3) is what makes a shared or cross-machine green sound: a 3.11 pass is never served to 3.13. Failures are never served from cache. Two caveats. A cached pass assumes deterministic tests, so a green result that depended on wall-clock time, network, or randomness can outlive the condition that made it pass. And the test-source hash covers each test function's own normalised AST, not the conftest fixtures or helpers it calls, so changing only those will not force a re-run yet (see Roadmap).

MCP tools (the entire surface)

Every tool returns structured errors — {"error": {"code": "unknown_dep", "message": "'Regoin' not found — nearest: 'Region'"}} — never a stack trace.

The verify interpreter

verify runs your tests with the project's own python, resolved in order: hashloom serve --python PATH → .hashloom/config.json ({"python": "..."}) → an auto-detected <project>/.venv → the interpreter running hashloom. So a globally-installed hashloom can verify a project against its own virtualenv without being installed into it; hashloom status shows which interpreter it resolved.

.hashloom/config.json also takes verify_timeout (seconds per pytest run, default 300) for suites that need longer than the default, and pycache_trust (default true); set pycache_trust: false — or pass --no-pycache-trust — to clear the project's __pycache__ before each verify run, so a stale .pyc can never shadow the current source.

Beyond Python

The impl's file extension picks the language adapter — each brings a normalised-AST hasher and a test runner, so the same cosmetic-vs-meaning hashing semantics hold per language:

• Go (.go): hashes via the stdlib go/ast, runs go test -json. Toolchain resolves like the interpreter: .hashloom/config.json {"go": "..."}, else go on PATH.
• TypeScript (.ts/.tsx/.mts/.cts): hashes via the target project's own typescript compiler API, auto-detects the test runner from package.json (vitest / jest, else Node's built-in node:test). Needs Node

  = 22.6; config key {"node": "..."}.

• Java (.java): hashes via a single-file javac-tree helper (JDK-only, no dependencies), auto-detects the test runner from the build manifest — pom.xml routes to Maven, build.gradle/build.gradle.kts to Gradle, and a committed mvnw/gradlew wrapper is preferred over the PATH binary. Needs a JDK >= 11 plus Maven or Gradle; config key {"java": "..."}.

Python stays the default; a project can mix languages freely.

Team-shared verification cache

By default the cache lives in your local .hashloom/store.db. Point it at a shared backend and one green verify serves the whole team — CI verifies a unit once and every teammate's agent gets cached-pass:

// .hashloom/config.json
{"shared": {"url": "https://cache.internal:8770", "token": "..."}}

Run the backend anywhere with python -m hashloom.cache_server (a small bearer-token HTTP service over a SQLite store; an operational process, not a CLI command). Only greens are published — failures never cross the boundary — and the toolchain-in-key rule above keeps a shared green sound across machines. If the shared store is unreachable, verify degrades silently to local.

CLI

hashloom init · hashloom index · hashloom serve · hashloom status · hashloom verify. The sqlite store under .hashloom/ is derived state: delete it any time and hashloom index rebuilds it from contracts/.

hashloom verify <name>… runs the same cached verification as the MCP tool from the command line and exits nonzero unless every unit is green (a failure, an unknown name, or an unverifiable unit all block) — drop it in CI or a pre-commit hook. --radius widens each name to itself plus every transitive dependent, so one command gates a change's whole blast radius: hashloom verify --radius Sale.

Try the sample project

cd examples/sales
hashloom init && hashloom index && hashloom serve   # then point your agent at it

20 contracts, 25 tests, three dependency layers deep. Every example directory ships its own README with per-language run instructions.

There are counterpart examples in Go at examples/go-ledger (8 contracts over a small double-entry ledger, same loop: hashloom init && hashloom index, then hashloom verify --radius Entry gates the blast radius with go test under the hood — needs a Go toolchain), in TypeScript at examples/ts-cart (8 contracts over a shopping cart; npm install first for its typescript, then the same loop — verification runs on Node's built-in node:test, Node

= 22.6), and in Java at examples/java-payroll (11 contracts over a weekly payroll run, three layers deep — records, Class.method quals, a parameterized bracket table, and a @Nested test class with dotted node ids; the shape of a Spring service layer with zero framework dependencies. Same loop — hashloom verify --radius TimeSheet runs Maven under the hood; needs a JDK >= 17 and Maven).

Development

uv sync
uv run pytest             # full suite; hash stability is the load-bearing suite
uv run python bench/benchmark.py

Kept deliberately small: 5 MCP tools, 5 CLI commands, contracts as plain YAML. Everything not in this README is an issue.

License

Apache 2.0