llm-governance

企业级 AI 资源纳管平台，提供统一 AI网关、Token调度能力，纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型，并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表，帮助企业精准控制成本、量化 ROI，高效治理 AI 资产。

Disciplined AI Collaboration: a method for building software with AI. One loop at every size, rules held by checks rather than attention, state derived rather than written, evidence in place of claims. Includes the PAG grammar, an architecture and a queryable ontology. Every page is also served as Markdown and JSON at banes-lab.com.

sofagent is an open-source FDE Harness for AI coding agents — on entry, write your business judgment into files (workflows, ontology, AI nodes); after departure, audit every change against them. 25 codified audit rules, tamper-evident chain, snapshots, and an MCP toolset (104 tools, 11 plugins). Everything can be FDEing.

Control plane plugin for Hermes Agent — pool many free/cheap model providers + local AI CLIs, switch brains from Telegram in one command (even while the model is down), delegate work cap-aware with auto-fallback. Run your agent at ~$0 without hitting quota walls.

A universal, native-Rust governance layer for AI coding agents. Enforces Subagent-Driven Development (SDD) to stop hallucinations before they hit disk.

Five Tests Standard (5TS): a vendor-neutral published standard for verifiable AI governance through proof-carrying decisions. Includes schemas, machine-checkable conformance vectors, and a reference validator.

Observability and guardrails for your ai agents. AgentTrail Guard traces your agent's execution and automatically compiles repeat failures into permanent guardrails.

Independent AI Agent Audit Framework - 包青天独立审计框架：穿透式风控体系，监督AI Agent的Skill调用合规性、防AI幻觉、系统性漏洞发现

The governance layer LLM proxies promised as a TypeScript library you can read. Every call runs through one governed pipeline: rate limit → spend caps (per-user + global circuit breaker) → cache → schema-validated provider failover → usage log → LLM-judge No sidecar proxy to deploy.

Runtime control, security, and governance for AI agents — decide what an agent may do at the moment it acts, revoke that authority instantly, and keep tamper-evident evidence of every decision.

Governed, GDPR-native memory for AI agents with ITSM / ServiceNow integration built in: right-to-erasure, tenant isolation, prompt-injection defense, and audit. A governance layer over Mem0, Zep, or any store. Open-source alternative for compliant AI agent memory.

The open protocol for persistent and verifiable governance of autonomous AI agents. Four-layer substrate: Persistent Context, Dynamic Governance, Deterministic Admissibility, Auditable Ledger. 0.07ms enforcement. Zero LLM inference.

An AI Engineering Operating System for Claude Code — governed agents, repeatable skills, explicit permission gates, and a self-measuring telemetry layer. Windows-first. v1.

Sovereign Framework for Constitutional AI Governance — Five-layer architecture (L0-L4), three-cloud runtime, physics-certified contraction, multi-model consensus gate

Public evidence window for Portotify runtime decision governance across AI, LLM, ML, algorithmic and hybrid decision systems. Frozen replay, governance boundaries and benchmark evidence.

PyPI-distributable LLM control plane: gateway choke point, cost attribution, OTel instrumentation, and offline reporting as an inspectable engineering artifact.

ZeroShield AI Mesh Firewall is a centralized AI security gateway for governing LLM and RAG traffic with inline prompt injection defense, vector database isolation, multi model routing control, and compliance grade observability.

Deterministic Runtime for AI agent tool calls. Intercept payments and emails before execution

Every AI agent action proven before it executes. Prolog + Z3 dual-gate, sub-millisecond verdicts, tamper-proof ledger. Apache 2.0.