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 Harness. 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
A statistical code analyzer built from your repository's history.
Open-source Claude Code skills — 6 cognitive firewalls block AI hallucination, bias & sloppy reasoning. npx skills add
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
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.
Python SDK for accurate and verifiable agent tool use. Agents verify that answers came from the right source and were not changed. Downstream agents detect 100% of errors and retry to achieve a 50% jump in answer accuracy.
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.
Mechanical enforcement tools to prevent AI agents from bypassing established project standards.
Portable behavioral contracts for AI workflows — permissions, side effects, approval boundaries, recovery, replay, state, and observability. “AI workflows should declare their behavioral boundaries before they run.”
Validate that supporting text quotes in your data actually appear in their cited references
An agent server. Agents, tools and models declared in files; every action checked against your policy before it runs. Any LLM, on your machine, Apache-2.0.
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.
Guardrails para desenvolver com agentes de IA: gate de CI bloqueante, hooks determinísticos, supply chain travada e fluxo de task com evidência. De 0 a funcionando sem orçamento
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