In computing, logging is the act of keeping a log of events that occur in a computer system, such as problems, errors or just information on current operations.
Stop AI agents from doing things you didn't ask for.
Python SDK for AI agent governance - audit trails, policy enforcement, quantum-safe signatures. Works with LangChain, CrewAI, MCP.
Constitution-first AI orchestration: one Charter (YAML) defines mission, budget & rules. CEO plans → CFO approves → Ledger tracks every cent & token → Auditor scores. 16 workers, Stripe, MCP. Think. Audit. Execute.
Describe what you want. Go home. Sandcastle ships it. 6 AI providers, EU data residency, smart failover, cost intelligence, 20 step types, 236 templates. European-built, open source. pip install sandcastle-ai
Governance-first orchestration for Claude Code, Codex, and Gemini CLI — parallel workers, receipts, quality gates, and full provenance.
Persistent memory + governance for AI agents. 120 MCP tools — core memory works locally (zero config SQLite), full surface (policy-as-code, approval workflows, governance dashboard, threat intel, auto-defense, governed actions, Runtime v2 agents/missions/capabilities) with Novyx Cloud.
Secure context engineering for AI agents. Content security · integrity verification · trust hierarchy · ACE patterns. Self-hosted, Apache 2.0.
Encrypted vault, ZK settlement archiving, x402 payment receipts, Agent Passport binding, and Solana anchoring for OpenClaw and agent runtimes. Drop-in stack — compression, privacy, payments, identity.
Structural verification for graph databases. 5M vertices. 35 microseconds. Zero ML.
🫛👣 FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.
Policy checks, human approvals, and audit trails for AI workflows.
The open protocol for cryptographically sealed audit records of autonomous AI operations. SHA3-256 + Ed25519 + hash chain. Spec, conformance suite, and reference implementations in Python and TypeScript.
LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code changes.
Git for AI workflows — Immutable, versioned audit trails as books and chapters. Web UI, CLI, API & agent-ready.ks and chapters. Web UI, CLI, API & agent-ready.
AXON — Agentic AI ohne Kontrollverlust. Open-Source KI-Agent mit Tool-Genehmigung, Audit-Trail und On-Premise Deployment.
MoralStack is a governance and safety layer for LLM applications. It analyzes user requests before generation, evaluates risk and intent, and decides whether the AI should answer normally, answer safely, or refuse. The goal is to make AI systems more auditable, controllable, and reliable in sensitive or regulated contexts.
What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks
Audit trail is a simple Django app to track the database changes and maintain history in any application. It also provide history for many_to_many fields, with ready admin page.
Automatic data change tracking for Django
Open-source reference implementation for EU AI Act Article 12 runtime evidence. Vaara gates every AI agent tool call against your policy and writes a SHA-256 hash-chained record, anchorable to an external RFC 3161 timestamp, that an auditor verifies offline. Runs entirely in your own environment. No SaaS, no telemetry. Apache 2.0.