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leaderiop/SpecForge has 42 GitHub stars and 2 forks. GitHot measured 0 stars in 24 hours and +2 in 7 days. Last checked 2026-11-09 20:09 UTC. Last push 2026-11-03.

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Specs your AI agent can't ignore. A deterministic compiler that turns your rules into checks: no AI inside, same input, same verdict. Rust · MCP-native · works with Claude Code, Cursor and any MCP agent.

What you can do

  • Product and marketing. Personas, channels, journeys, features and releases in one checked map that an agent can report from ("which channels does this persona use?", "what is unscheduled?"). Campaigns, audiences and claims can be added with your own extension.
  • Regulated industries. Pharma (GxP), medical devices, safety cases: procedures, deviations and approvals with the rules an auditor expects, in version control and checked in CI. The AI drafts, the rules check, a qualified person signs. You write this extension yourself today; none ships yet.
  • Your own domain. Any business with entities and rules worth checking. SpecForge can be the product you use, or the harness the business runs on: extensions as its domain, the graph as its memory, AI models as its workers.

Measured star growth

in 24h
0
in 7 days
+2
in 15 days
Collecting history
in 1 month
Collecting history

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

README.md

Original

SpecForge. Turn your team's expertise into rules your AI can't skip. AI drafts, SpecForge checks, you sign.

See it in 60 seconds · How it works · What you can build · Docs

SpecForge turns what your organisation knows into rules your AI can't skip.

You write down your things, how they link, and the rules they must obey. SpecForge compiles that into one typed, checked graph. People and AI agents read it and change it through standard protocols (CLI, MCP, LSP), and a change that breaks a rule is refused, whoever made it.

It works for software specs, product plans, quality procedures, or any field with rules worth checking. SpecForge doesn't know your field until you install an extension that teaches it.

The problem

AI can now do real work: write code, draft a launch plan, prepare a batch record. What it works from is the weak part.

The knowledge that should guide it sits in places nothing enforces:

  • Documents and specs in prose (PRDs, Markdown specs, policies, brand guides). An agent can misread a rule or skip it, silently. Nothing checks that the document is complete or that its parts agree.
  • Wikis and decks drift away from reality, and nothing breaks when they do.
  • Traceability (which requirement has a test, which procedure has an approval, which campaign has a source for its claim) is a spreadsheet someone updates by hand, until they stop.
  • Every session starts from zero. The agent re-reads dozens of files to rediscover what you meant, and still guesses.

The more work you give to AI, the worse this gets. It produces faster than anyone can review.

This isn't a problem with the model. It's a problem with where your rules live.

The idea: hard skills, not soft skills

There are two ways to teach an AI how your organisation works.

A soft skill is advice placed in the AI's context: a prompt, a Markdown spec, a policy PDF, a skill file. It helps, but it's prose. The AI may follow it, or not.

A hard skill is a rule a program enforces. The AI can't skip it, because the check fails and says why.

Soft skill
prompt, Markdown spec, policy, skill file
Hard skill
SpecForge extension
Lives in The AI's context window, as prose A compiler, as code
Can the AI ignore it? Yes, silently No: the check fails
Same verdict twice? Not always Always. There's no AI inside
Knows what's missing? No Yes: broken links, unenforced rules, unproven promises
Shared how? Copied between files Versioned and installed, like a library

SpecForge is an engine for hard skills. Think of it as a type checker for what your organisation means.

The five parts

Part What it is In plain words
Extensions WASM packages that declare entity kinds, their fields and links, the rules that judge them, and commands The "apps": they teach SpecForge a domain
The graph Every entity and link, compiled from small .spec files in your repository The "memory": one source of truth
Validation The extensions' rules plus structural checks, on every compile and every edit The "referee": a change that breaks a rule is refused, whoever made it
Surfaces CLI, MCP, LSP with a VS Code extension, and a package registry The "doors" people and agents come in through
AI models Claude or any other agent, driving SpecForge from outside, mostly over MCP The "brain": bring your own

Extensions plug into the SpecForge core, which parses, links and checks and knows no domain: software, product, governance, formal, test runners, and your own, such as pharma quality, medical devices or safety cases.

The core grammar knows five structural words: spec, ref, use, define, defaults. Every other word in a spec (behavior, persona, invariant, campaign, procedure) and every rule ("an invariant must be enforced by a behavior", "a journey's persona must exist") exists only because an extension declares it.

These extensions ship inside the binary, as a starter set:

Extension What it declares
@specforge/software Behaviors, events, types, and interfaces (ports)
@specforge/product Features, personas, channels, journeys, deliverables, milestones, releases, modules, and your team's vocabulary (terms)
@specforge/governance Rules that must always hold (invariants), decisions, constraints, and failure modes
@specforge/formal Properties and axioms that an SMT solver proves or refutes
@specforge/testing, @specforge/cargo-test, @specforge/vitest Which of your tests prove which entities
@specforge/rust, @specforge/typescript Source analysis that helps an agent write a spec from existing code

Turn one on with specforge add @specforge/product. The full list is in the extension inventory. To teach SpecForge your own field, see Extending SpecForge and the extension SDK.

What you can build with it

  • Software spec frameworks. The builtin software extensions already give agents a checked spec to build against, with tests that name the promise they prove. Methods like GSD, BMAD, OpenSpec and SpecKit are a vocabulary plus rules, so each can become an extension, with its state in checked entities instead of Markdown files. A GSD family (@gsd/*) is being designed; the others are not started.
  • Product and marketing. Personas, channels, journeys, features and releases in one checked map that an agent can report from ("which channels does this persona use?", "what is unscheduled?"). Campaigns, audiences and claims can be added with your own extension.
  • Regulated industries. Pharma (GxP), medical devices, safety cases: procedures, deviations and approvals with the rules an auditor expects, in version control and checked in CI. The AI drafts, the rules check, a qualified person signs. You write this extension yourself today; none ships yet.
  • Your own domain. Any business with entities and rules worth checking. SpecForge can be the product you use, or the harness the business runs on: extensions as its domain, the graph as its memory, AI models as its workers.

The use cases say what works today and what is roadmap for each, and examples has projects you can run.

See it in 60 seconds

No agent needed. Install, create a product plan, then try to break it:

curl -fsSL https://raw.githubusercontent.com/leaderiop/SpecForge/main/install.sh | sh
mkdir launch-plan && cd launch-plan
specforge init --extensions @specforge/product     # a persona, a channel, a journey, a milestone
specforge link onboarding channels email           # point the journey at a channel that doesn't exist
error[E080]: the edit would leave the project with 1 error it does not have; nothing was written
  error[E003]: unresolved reference 'email' in entity 'onboarding'

The edit is refused and nothing is written. Declare the channel first, and the same edit goes through:

specforge new channel email "Email newsletter" --in spec/hello.spec --description "The monthly newsletter" --status active
specforge link onboarding channels email
specforge product persona-channels developer       # cli, email

An agent makes the same edits over MCP, and gets the same refusals. Hand-written files get the same check:

mkdir ../sf-demo && cd ../sf-demo
specforge init --extensions @specforge/software          # spec/hello.spec, which checks clean
sed -i.bak 's/\[user_logged_in\]/[user_loged_in]/' spec/hello.spec   # drop one letter
specforge check
[E003] Error: unresolved reference 'user_loged_in' in entity 'authenticate_user'
 20 │   produces [user_loged_in]
    │ Help: did you mean 'user_logged_in'?

[W007] Warning: event 'user_logged_in' is not produced by any behavior

1 error, 1 warning, 0 infos

A reviewer reads. A check resolves. Errors always fail the check; warnings fail it too with specforge check --strict, which is what you run in CI.

Use it with your agent

1. Install. SpecForge is a single binary with no dependencies.

curl -fsSL https://raw.githubusercontent.com/leaderiop/SpecForge/main/install.sh | sh
Other ways to install
# Homebrew (once the tap is published)
brew install leaderiop/tap/specforge

# Prebuilt binary via cargo-binstall
cargo binstall --git https://github.com/leaderiop/SpecForge specforge-cli

# From source (stable Rust toolchain)
git clone https://github.com/leaderiop/SpecForge && cd SpecForge
cargo install --path crates/surfaces/cli

Prebuilt archives for macOS, Linux and Windows are on the Releases page. Formal proofs (@specforge/formal) also need the z3 solver on your PATH; everything else works without it.

2. Create a project with the extensions your work needs:

specforge init --extensions @specforge/software,@specforge/product

This writes a specforge.json and a first file in spec/. In a Cargo or vitest project, it also turns on the matching test runner.

3. Connect your agent. SpecForge speaks MCP, so any MCP client can read, query and edit the graph. Use an absolute path:

claude mcp add specforge -- specforge mcp /path/to/your/project

In Cursor, one click adds it for the open project (${workspaceFolder}):

Add SpecForge to Cursor

Other MCP clients
{
  "mcpServers": {
    "specforge": { "command": "specforge", "args": ["mcp", "/path/to/your/project"] }
  }
}

4. Ask your agent. For example:

Write a spec in spec/ for the feature I described: the behavior, the rules it must never break, the events it emits, and what proves each one. Validate it with the SpecForge tools and fix every error before you show it to me.

5. Read the result yourself.

specforge check     # is the graph consistent?
specforge review    # what is still unproven?

6. Link your proof. For software, each test names the entity and obligation it proves. Follow the Rust or vitest guide, then run specforge collect. It asks once before running your test command, and records what each test proves.

Do I have to learn a new language?

You'll want to read it, because the graph is what you approve. You rarely need to write it: your agent writes and fixes the files, or edits them through specforge new, set and link, and the check tells it when it's wrong.

It's built to be easy to read. Each block is one thing, with a kind, a name, a title, and fields, like a filled-in form:

channel email "Email newsletter" {
  description "The monthly newsletter"
  status      active
}

To write specs by hand, start with the authoring tutorial, the worked example and product getting started.

Surfaces

Surface Status What it's for
CLI (specforge) Shipped Check, query, export, typed edits, CI
MCP server (specforge mcp) Shipped AI agents read, query and edit the graph
LSP + VS Code extension Shipped Diagnostics, completion, navigation and formatting while you type
Package registry (add, search, publish) Shipped Install and share extensions (trust model)
AG-UI Planned Agent-driven screens for people who don't use an editor
HTTP Planned Other applications reading and changing the graph

Not built yet, so not claimed: connections to outside systems (a CRM, an issue tracker, a quality system), and proof beyond test results. Extensions are pure WASM today: no files, no network.

How is this different from…

You already use It's good at What SpecForge adds
Specs, PRDs and policies in Markdown Describing intent for people and agents The same intent as .spec files whose structure is checked. Broken references, missing pieces and unproven promises fail the check
CLAUDE.md, AGENTS.md Working rules for the agent: conventions, commands, style Nothing to replace. Keep those rules there; what must be true lives in SpecForge
Tests Proving the code does something Saying which promise each test proves, and which promises have no test at all
Issue trackers, roadmap tools Tracking work in progress A checked model of what must exist and how it links, that an agent can query
Requirements and quality tools (DOORS, Polarion, eQMS) Traceability for regulated teams Plain text in your repository, checked in CI, readable by agents, extensible by you
Generators Producing code or documents from a model Nothing. SpecForge never writes your code or your documents. Your agent does, from knowledge SpecForge has checked

What SpecForge is not

  • Not an AI. It makes no model calls. It's a deterministic compiler, written in Rust. The AI is yours.
  • Not a generator. It checks knowledge. Your agent produces the work.
  • Not a test framework. Your tests stay in cargo test or vitest. SpecForge runs them only after you approve the command, and records what they prove.
  • Not only for software. Software is one of its biggest uses, not its definition.

Learn more

License

Licensed under either of Apache License, Version 2.0 or MIT license at your option.

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