Agent Governance Python Packages

bernstein

The open‑source AI Agents Governance & Orchestration framework: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run

vaara

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.

aikito

Your durable workspace across AI agents.

algenta-sdk

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.

algenta-mcp

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.

superbased-observer

Local-first control plane for AI coding agents — launch browser terminals, run and remotely control sessions, and track files, tokens & cost across Claude Code, Codex, Cursor, Gemini CLI and 20+ more. 100% local, no telemetry.

dashclaw

Remote approvals, policy checks, and execution evidence for unattended AI agents.

agent-security-harness

AI agent security harness, adversarial testing: 640 executable tests in the v4.26.1 release, across MCP, A2A, x402/L402, decision governance, benchmark integrity, human-in-the-loop, skill supply chain. Four target shapes: a verdict must be able to be wrong AND to be right. OWASP Agentic v1.1 T1-T17, AIUC-1 19/20 (2026-Q1/Q2 set), NIST AI 800-2.

metamynd-client

Runtime governance for AI agents. Wrap a tool in three lines; every call is signed and decided outside your process. Blocked calls never reach your code.

warrantai

The decision ledger for AI agents. Every action recorded with its mandate, evidence, cost and outcome. Replay real decisions before you ship.

house-party-protocol

A local harness for agent teams on Claude Code and Codex CLI: only what they prove counts as done. Waves and lanes split the work, reviewers from another model family judge it, councils keep the dissent that lost, typed decisions with Jev are measured before they are trusted, and approvals are bound to the bytes they approved. No model calls.

recusal

Deterministic governance for AI agent tool calls in Claude Code, MCP, LangGraph, or any agent loop. Pin approved capabilities, detect drift, and refuse unsafe or unapproved actions before execution. No model in the decision path.

fcop-mcp

FCoP — file-based behavior-governance protocol for multi-agent AI. Tasks, reports, review, evidence, and lifecycle state over ordinary files; Python + MCP.

fcop

FCoP — file-based behavior-governance protocol for multi-agent AI. Tasks, reports, review, evidence, and lifecycle state over ordinary files; Python + MCP.

agenomics

Genetics for AI Agents — predictability and compatibility scoring for autonomous agent personalities

axonflow

Official Python SDK for AxonFlow — runtime control, MCP policy enforcement, approvals, and audit trails for production AI

epitype

Your agent ignores the rules in CLAUDE.md after a compaction. Epitype makes remembered rules actually govern behavior. Claude Code + Codex hooks, stdlib only, MIT.

firekeep-client

Self-hosted shared context, memory, coordination, and evidence for Claude Code, Codex, Kiro, OpenCode, and MCP agents.

actra

Actra - control what runs before it runs, controls what actions are allowed before they execute. Evaluate policies across APIs, workflows and AI agents in real time.

haldir

The guardian layer for AI agents — identity, secrets, audit via MCP. Gate + Vault + Watch.

traccia

OpenTelemetry-native SDK for AI agent observability, tracing, evaluation, debugging, governance, and runtime policy enforcement. Framework-agnostic and built for OpenAI Agents, LangGraph, CrewAI, and LLM applications in production.

release-gate

🚪 Governance gate for AI agents. Enforce policies before deployment: request contracts, operational safeguards, identity boundaries, action budgets. CLI tool with YAML config, JSON/text output, CI/CD integration.

execlave-sdk

Official Python SDK for Execlave — the AI Agent Management Platform (AMP). Tracing, runtime policy enforcement, and compliance audit trails for AI agents.

sentience-governor

Local-first runtime governance for AI agents. Declare intent, catch out-of-scope actions, and audit them in a verifiable trail.