Microsoft Agent Governance Toolkit
https://github.com/microsoft/agent-governance-toolkit
Cross-Model Verification Kernel (CMVK) requires majority-voting agreement across multiple model calls before a memory-influenced action. Agent OS package intercepts every action (memory included) at sub-millisecond latency. MIT licensed.
At a glance
- Type
- Cross-Model Verification Kernel + Agent OS
- Tier
- T2
- Created
- 2026-03
- Latest release
- v3.4.0 2026-05-05
- License
- MIT
- GitHub
- 1.4k★ +50/mo Python
- Pricing
- free / open source (MIT)
- Funding
- not applicable — Microsoft Research; no external funding
Taxonomy
- storage
- append-only
- retrieval
- agentic
- persistence
- session
- update
- read-only
- unit
- policy
- governance
- auditable
- conflict
- llm-arbitrate
When to use
Optimised for: governance + compliance + audit + adversarial hardening
Anti-fit: not for hobbyist / non-production use cases
Pros & cons
Pros
Microsoft's governance toolkit for AI agents — covers memory access policies + audit trails as part of broader agent governance.
Cons
Microsoft-stack-tilted; less applicable outside M365 / Azure deployments.
Claims & capabilities
p99 < 0.1ms. Integrations for LangChain, CrewAI, Google ADK, Microsoft Agent Framework. Python / TypeScript / Rust / Go / .NET. April 2026.
Technical surface
- API surface
- REST, PowerShell
- Backend storage
- custom (Microsoft 365)
- Deployment
- library/SDK integration; multi-language (Python TypeScript Rust Go .NET); LangChain/CrewAI/Google ADK integrations
- Embedding model
- not applicable — governance tool
- Multi-tenancy
- hard-isolation
- MCP
- Yes — MCP Security Scanner (tool poisoning, typosquatting, hidden instructions); A2A/MCP Protocol Bridge in Agent Mesh
- A2A
- Yes — Agent Mesh provides A2A/MCP/IATP protocol bridges (per agentmesh-platform docs); zero-trust identity + trust scoring
- OpenTelemetry
- Yes — Telemetry package provides OpenTelemetry integration (per PACKAGE-FEATURE-MATRIX.md)
Similar systems
Other memory governance, privacy & safety in the catalog, ranked by inbound references.
- Acuvity (now Proofpoint) T1
Runtime enforcement targeting memory poisoning, unauthorised execution, identity spoofing per the OWASP LLM threat list. Visibility/control over MCP servers and locally-installed AI tools — the infrastructure layer where memory is most exposed.
- Enkrypt AI T1
Applies guardrails at three points: (1) before write to vector DB, (2) before query reaches embedding model, (3) before response. Detects malicious instructions in stored memory before retrieval; scans for PII/PHI in/out. Text + image + voice modalities.
- HiddenLayer AISec Platform 2.0 T1
Targets the supply-chain / lineage layer rather than runtime memory writes. Model Genealogy tracks training/fine-tuning/modification history — catches poisoning baked in during training. AIBOM generates auditable inventory of model components + datasets. Runtime layer also monitors agentic workflows.
- Lakera Guard / Lakera Red T1
Screens every prompt, response, and retrieved document for indirect prompt injection — primary vector for memory poisoning. Treats memory as untrusted: anything written to or read from memory is adversarial until proven clean. Lakera Red provides "Agent Breaker" gamified red-teaming.
- Mem0 Security / OpenMemory T1
Commercial Mem0 ships SOC 2 / HIPAA, zero-trust access controls, BYOK encryption, real-time monitoring, audit logs, workspace governance as defaults. OpenMemory is the local self-hosted variant (Docker + FastAPI + Postgres + Qdrant) for privacy-first deployments.
- OWASP Agent Memory Guard T3
Open-source runtime defense. Enforces YAML policies on every memory read/write. SHA-256 baselines detect tampering, injection, sensitive-data leakage, protected-key modification, rapid-change anomalies. Forensic snapshots + rollback. Reference impl for OWASP ASI06 (Memory Poisoning).