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RTMX

Track what you built, what's tested, and what's next -- from the terminal.

CI Coverage Status Go Report Card License

RTMX workflow

RTMX is a CLI that manages requirements traceability as a CSV file in git. Every requirement has an ID, a spec, and linked tests. Status is derived from test results -- not manually updated. AI agents query your requirements via MCP and build against your intent, not their own.

Install

brew install rtmx-ai/tap/rtmx        # macOS / Linux
scoop install rtmx                    # Windows
go install github.com/rtmx-ai/rtmx/cmd/rtmx@latest

Or download a binary from releases.

What It Does

Command What it does
rtmx status Completion dashboard across all requirements and phases
rtmx next --one Pick the highest-priority unblocked requirement
rtmx verify Run tests and cross-reference against requirements
rtmx health Lint your RTM: orphaned tests, circular deps, stale refs
rtmx backlog Prioritized work items with critical path analysis
rtmx mcp-server 7 tools for AI agents over JSON-RPC (read + write)

33 commands total. Run rtmx --help for the full list.

RTMX commands

The AI Workflow

flowchart TD
    A["Requirements\n(CSV in git)"] --> B["rtmx next\nPick unblocked requirement"]
    B --> C["Agent writes\ncode + tests"]
    C --> D{"rtmx verify\nTests pass?"}
    D -- yes --> E["Status updates\nautomatically"]
    D -- no --> C
    E --> F["rtmx status\nTeam sees progress"]
    F -.-> B

    style A fill:#d1fae5,stroke:#059669,color:#065f46
    style B fill:#d1fae5,stroke:#059669,color:#065f46
    style C fill:#e5e7eb,stroke:#6b7280,color:#1f2937
    style D fill:#fef3c7,stroke:#d97706,color:#92400e
    style E fill:#d1fae5,stroke:#059669,color:#065f46
    style F fill:#d1fae5,stroke:#059669,color:#065f46
Loading

An agent runs rtmx next --one, gets a specific requirement, writes code and tests against the spec, and rtmx verify confirms the work is done. No human triages, assigns, or updates a ticket.

Why CSV in Git

block-beta
    columns 1
    block:header["database.csv -- Pull Request #42"]
        columns 1
    end
    block:removed["- REQ-AUTH-003, auth, mfa, TOTP-based MFA, ..., missing"]
        columns 1
    end
    block:added["+ REQ-AUTH-003, auth, mfa, TOTP-based MFA, ..., complete, test_totp_flow"]
        columns 1
    end
    block:context["  REQ-AUTH-004, auth, session, Session timeout, ..., partial"]
        columns 1
    end

    style header fill:#6b7280,stroke:#4b5563,color:#ffffff
    style removed fill:#dc2626,stroke:#b91c1c,color:#ffffff
    style added fill:#16a34a,stroke:#15803d,color:#ffffff
    style context fill:#9ca3af,stroke:#6b7280,color:#ffffff
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  • Human-readable diffs in PRs -- one row changed, one requirement done
  • Works everywhere -- offline, air-gapped, no database, no API
  • AI agents parse it without an SDK -- it's a file
  • git blame tells you when and why every requirement changed
  • No vendor lock-in -- it's your data in your repo

MCP Integration

flowchart LR
    subgraph agents["AI Agents"]
        direction TB
        A1["Claude Code"]
        A2["Cursor"]
        A3["Custom Agent"]
    end

    subgraph mcp["rtmx mcp-server"]
        direction TB
        T1["status"]
        T2["backlog"]
        T3["next"]
        T4["verify"]
        T5["health"]
        T6["markers"]
        T7["deps"]
        T1 ~~~ T2 ~~~ T3 ~~~ T4 ~~~ T5 ~~~ T6 ~~~ T7
    end

    subgraph repo["Git Repository"]
        direction TB
        DB[".rtmx/database.csv"]
        Tests["Test files"]
    end

    A1 -- "JSON-RPC" --> mcp
    A2 -- "JSON-RPC" --> mcp
    A3 -- "JSON-RPC" --> mcp
    mcp --> DB
    mcp --> Tests

    style agents fill:#f0fdf4,stroke:#059669,color:#065f46
    style mcp fill:#d1fae5,stroke:#10b981,color:#065f46
    style repo fill:#f3f4f6,stroke:#6b7280,color:#111827
    style A1 fill:#f0fdf4,stroke:#059669,color:#065f46
    style A2 fill:#f0fdf4,stroke:#059669,color:#065f46
    style A3 fill:#f0fdf4,stroke:#059669,color:#065f46
    style DB fill:#d1fae5,stroke:#10b981,color:#065f46
    style Tests fill:#d1fae5,stroke:#10b981,color:#065f46
Loading

10 tools (7 read + 3 mutation) with agent authorization and atomic claim/release for multi-agent coordination.

RTMX MCP setup

Claude Code -- one command:

claude mcp add rtmx -- rtmx mcp-server --stdio

Cursor -- add to .cursor/mcp.json:

{"mcpServers":{"rtmx":{"command":"rtmx","args":["mcp-server","--stdio"]}}}

Test Verification

rtmx verify auto-detects your test framework. No configuration needed.

Go, Python/pytest, Rust/Cargo, Node.js/npm, Java/Gradle, Java/Maven, Elixir/Mix, Swift, Dart, Ruby -- 10+ frameworks supported.

Dogfooding

RTMX manages its own requirements. 219 requirements across 24 phases, auto-verified in CI on every push. Run rtmx status in this repo to see it.

Read the backstory -- how and why this tool was built.

Benchmark Results

Independent testing by intent-bench measures whether providing structured requirements to coding agents improves implementation effectiveness. Results from N=5 runs per condition using Claude Sonnet 4:

Experiment Complexity Control Treatment (RTMX) Fisher p
url-shortener Baseline (10 reqs) 100% completion 80% completion 1.000
task-manager Standard (13 reqs, depth 5) 20% completion 80% completion 0.206

On the baseline task, the intent layer adds overhead without improving completion. On the standard task with complex dependency chains, completion increases from 20% to 80% and token variance drops (CV 0.85 to 0.46).

Full data, methodology, and reproduction instructions: intent-bench.github.io/intent-bench

Technical Details

  • Single static binary -- Go, CGO_ENABLED=0, zero runtime dependencies
  • Linux, macOS, Windows -- amd64 and arm64
  • 2 external dependencies (Cobra + YAML parser)
  • GPG-signed releases with SBOM
  • Apache 2.0

Contributing

See CONTRIBUTING.md for development setup, building, and testing instructions.

Migrating from Python CLI

Deprecation Notice: The Python rtmx CLI is deprecated and will reach end-of-life on 2026-09-25. Run pip uninstall rtmx and switch to the Go binary above.

See docs/MIGRATION.md for full migration steps.

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Requirements traceability matrix package for closed-loop product development with agentic AI tools.

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