DecisionMesh
Every AI decision — governed, audited, compliant
DecisionMesh launched on June 1, 2026 with 2 votes.
What it does
DecisionMesh is the AI Intent Control Plane for enterprises. Unlike observability tools that explain what happened after an AI request, DecisionMesh governs what is allowed before it reaches an LLM. Enforce intent-based policies, mask PII before transmission, maintain immutable audit trails, control budgets, and route across OpenAI, Anthropic, Gemini, DeepSeek, and self-hosted models. Built for regulated industries where AI governance, compliance, and accountability are critical.
DecisionMesh is the Enterprise AI Control Plane: govern, secure, route, and prove every AI decision and action across models, agents, tools, and enterprise systems — including runtime policy enforcement, jurisdiction-aware PII protection, and tamper-evident audit trails.
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TraceMem – A trace-native memory layer for AI agent decisionsJan 2026 · tracemem.com · ▲15Hi HN, There’s been a lot of discussion lately around context graphs, decision traces, and how AI systems reason. One thing we kept running into: when AI agents make real decisions, the why behind those decisions often disappears. The context is scattered across prompts, tools, policies, and approvals. Logs show what happened, but not why it was allowed. TraceMem is an attempt to make decision context durable. It records the reasoning, authority, and context behind AI actions as a system of record, not as monitoring data, but as memory. Happy to share more details or answer questions. - Tommi
Conduct, open-source guardrails for LLM and MCP tool callsAug 2026 · github.com · ▲22Runtime governance for AI agents. Allow, warn, or block every model and tool call before it commits. Hash-chained audit for every decision. Compliance packs for SOC 2, HIPAA, PCI DSS, EU AI Act, SR 11-7, and FDA CSA. Apache 2.0. - sseshachala/conductai
RuleMeshJul 2026 · rulemesh.com · ▲2RuleMesh structures regulatory requirements, maps them to controls, and specifies the evidence that proves them. Your coding agent calls it over MCP; RuleMesh never accesses your code.
- DEDecision engine – AI-assisted decision making2022 · decision-engine.app · ▲17
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