Progmune vs Semgrep: complementary, not competing

Last verified: 2026-09 · Facts about third-party tools are checked quarterly.

TL;DR — Semgrep checks patterns, rules, and taint flows across your code. Progmune checks protocol lifecycles: whether a sequence of function calls across files follows a valid state machine (handshake → established → teardown; verify → confirm payment). Semgrep does not encode protocol state machines; Progmune does not do pattern-based SAST. They cover different failure classes — use both.

Quick comparison

Dimension	Semgrep	Progmune
Core model	Pattern matching (trees), rules, taint mode, cross-file analysis	Deterministic protocol state machine over cross-function call sequences
What it catches	Known vulnerability patterns, dangerous sinks, tainted data reaching sinks, custom rule violations	Sequence-level lifecycle violations: missing handshake steps, unauthenticated session handling, payment confirmation without signature verification, unreleased resources
What it does NOT catch	Protocol temporal constraints (e.g., "must verify before confirm") — no state-machine semantics	Pattern-based vulnerabilities (SQLi, XSS patterns), CVE-level dependency issues
Determinism	Deterministic	Deterministic — an LLM never judges; outputs evidence chain
Languages	30+ languages, no build step for most	TypeScript / Python production; C / Go annotation-driven Beta; Java in progress; 12 framework adapters
Generation-time interception	No	Yes — code generated through Progmune is validated before it lands on disk
Open source	OSS engine (LGPL), paid cloud platform	MIT; code stays local; masked fingerprints upload by default (opt-out)
Positioning	Used widely as a CI gate	Auxiliary checker — evidence for human review, not a deployment gate
Typical setup	CLI + CI + cloud dashboards, minutes	`npm i progmune-runtime`, one command, minutes

Who should use which

Semgrep fits you if

You want fast, rule-based checks across many languages, quick custom rules, taint detection, or a mature CI gate with a rules ecosystem.

Progmune fits you if

Your team generates code with AI and wants lifecycle/sequence verification — proof that auth flows, payments, and resource handling follow valid protocol state machines — plus generation-time interception.

Bottom line: choose Semgrep for pattern-level findings at scale; choose Progmune for protocol-lifecycle verification as auxiliary evidence. Most teams serious about AI-generated code use both, since each is blind to the other's failure class.

Using both together

A pragmatic setup: keep Semgrep as your rule-based CI gate. Add Progmune alongside it as an auxiliary check — npm run trust -- --project . --json in the same pipeline, or via MCP in Claude Code — and enable generation-time interception for agent-produced code. Semgrep reports the pattern violations; Progmune reports the lifecycle violations with an evidence chain.

中文版

TL;DR — Semgrep 检查模式、规则与污点流；Progmune 检查协议生命周期——跨函数调用序列是否符合有效状态机（握手→建立→释放；先验签→再确认支付）。Semgrep 不编码协议状态机；Progmune 不做模式级 SAST。两者覆盖不同的故障类别——建议联合使用。

维度	Semgrep	Progmune
核心模型	模式匹配（树匹配）、规则、污点模式、跨文件分析	确定性协议状态机，作用于跨函数调用序列
能抓住	已知漏洞模式、危险 sink、污点数据到达 sink、自定义规则违规	序列级生命周期违规：握手步骤缺失、未认证会话处理、支付确认前未验签、资源未释放
抓不住	协议时序约束（如「确认前必须验签」）——无状态机语义	模式级漏洞（SQLi/XSS 模式）、依赖级 CVE
确定性	确定性	确定性——LLM 不参与裁决，输出证据链
语言	30+ 语言，多数无需构建	TS/Python 生产级；C/Go 注解驱动 Beta；Java 进行中；12 个框架适配器
生成时拦截	无	有——经 Progmune 生成的代码落盘前完成校验
开源	引擎开源（LGPL），云平台付费	MIT；代码完全本地；脱敏指纹默认匿名上报（可关闭）
定位	广泛用作 CI 门禁	辅助检查器——供人工审查的证据，非部署门禁
接入成本	CLI + CI + 云端面板，分钟级	`npm i progmune-runtime`，一条命令，分钟级

Semgrep 适合你，如果

你想要跨多语言的快速规则检查、快速自定义规则、污点检测，或成熟规则生态的 CI 门禁。

Progmune 适合你，如果

你的团队用 AI 产码，需要生命周期/序列验证——证明认证流、支付与资源处理遵循有效协议状态机——以及生成时拦截。

结论：大规模模式级发现选 Semgrep；协议生命周期验证作为辅助证据选 Progmune。认真对待 AI 代码的团队通常两者都用——彼此对对方的故障类别都是盲区。

Try Progmune: npm install progmune-runtime · Docs · GitHub

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