Packmind seamlessly captures your engineering playbook and turns it into AI context, guardrails, and governance.

🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr

Open Source Reliability Harness: Make your agents follow rules. One line of code to‎ ‎enforce, trace, and improve. ‎ ‎

Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evidence. Drop-in rules and guardrails for Claude Code, Codex, Cursor, Copilot, and Antigravity, via AGENTS.md.

Guardrail capabilities for Pydantic AI — cost tracking, prompt injection detection, PII filtering, secret redaction, tool permissions, and async guardrails. Built on pydantic-ai's native capabilities API.

FSPEC: The Spec-Driven, Multi-Agent Coding Factory. It is infrastructure for the "Dark Factory"—the emerging model of fully autonomous software development where AI agents handle all implementation while humans focus on defining what to build and why.

Open source authorization engine for AI agents. Confidence-aware gating · Human-in-the-loop review · Policy-as-code · Full audit trail

Open-source Claude Code skills — 6 cognitive firewalls block AI hallucination, bias & sloppy reasoning. npx skills add

Real-time AI safety guardrails for LLM apps. 10 scanners: prompt injection, PII, harmful content, code vulnerabilities, obfuscation detection. Sub-ms latency. Python + TypeScript SDKs. MCP proxy. Claude Code hooks.

Give AI coding agents (Claude Code, Cursor, Aider, Codex) a structured autonomous loop with guardrails — boundaries, 5 verification gates, 3-layer self-reflection, and autonomous remediation. pip install ouro-loop. Zero dependencies.

LLM budget control and cost governance for AI agents. Python library for token budgets, usage limits and guardrails for OpenAI, Anthropic, LangChain, LangGraph and agentic systems.

SourceryKit — counterspell for hallucinating agents. Python SDK that breaks the illusion on every tool call, API response, and MCP handoff before bad outputs propagate.

Mechanical enforcement tools to prevent AI agents from bypassing established project standards.

Validate that supporting text quotes in your data actually appear in their cited references

A statistical code analyzer built from your repository's history.

Six in-process middlewares for OpenClaw: HITL approvals, prompt-injection guardrails, PII redaction, tool-call budgets, context compaction, and complexity-aware model routing. Zero telemetry, all state local.

AI Fusion Gateway & Token Governance

Your AI assistant reads CLAUDE.md and ignores it anyway. Ārai makes instruction files enforced — hooks that block, a tamper-evident audit trail, per-rule compliance stats.

Local guardrails for AI coding agents. Wraps any MCP server and blocks destructive tool calls — DROP TABLE, rm -rf, force-push, unscoped UPDATE/DELETE — before they execute. Free, open-source, runs entirely on your machine.

A Python implementation of the VETTING (Verification and Evaluation Tool for Targeting Invalid Narrative Generation) framework for LLM safety and educational applications.