#audit-trail

The open-source AI agent control plane: MCP firewall, model gateway with budgets, human approvals, runtime observability, and audit trails

LeanCTX is the Context Gateway for AI Systems. Select task-relevant context, apply supported controls, connect local knowledge and inspect recorded evidence. Open-source Engine: CLI, MCP, hooks and supported proxy paths.

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

An AIOps platform that closes the loop from Kubernetes alert to automated remediation: An AI Agent investigates via MCP tools, selects a fix from a pre-seeded workflow catalog and delegates execution (K8s Job, Tekton, Ansible) — or escalates with a full RCA. Approval gates, OPA policies, and audit trails keep humans in control.

The IAM layer for AI agents: cryptographic identity, capability authorization, and audit trails for non-human identities. Open source.

Accountable Autonomy: open-source evidence layer that gates every AI agent tool call against your policy and writes a hash-chained record an auditor verifies offline, without trusting you. Root-agnostic; binds to TPM 2.0 / SEV-SNP when present. Your environment, no SaaS, no telemetry. AGPL-3.0.

🛩️ Git-native workflow control for coding agents: approved plans, verification, and reviewable evidence for Claude Code, Codex, Cursor, and Aider.

A zero-trust execution platform that safely bridges AI agents and infrastructure without surrendering data sovereignty

Open-source firewall for AI agents. Policy engine that audits and controls what OpenClaw, Claude Code, Cursor, Codex, and any AI tool can do on your machine.

Cycles budget and action guard for OpenClaw agents

Chronicle - Verifiable Audit Logging and Append-Only Audit Trails for Laravel.

Zero-dependency TypeScript SDK for AI agent governance: policy enforcement, injection detection, tamper-evident audit, and standards mapping (EU AI Act, OWASP, NIST, ISO 42001)

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.

Python and TypeScript SDKs for Algenta — self-hosted building blocks for AI applications. 6,000+ deterministic functions on custom Mojo kernels behind one API, SDK and MCP surface; no new language to learn. The engine is proprietary; the SDKs, API contract and examples are Apache-2.0. Siblings: thyn-ai/algenta-integrations, thyn-ai/mojo-kernels.

Grade every agent, scraper and model in a claim's chain — provenance, trust scoring and audit evidence for LLM pipelines

A local, event-sourced governance engine for coding tasks.

Portable trust receipts for agent workflows. Signed, chained, verifiable.