Stackmint Open-Source Gateway

What it does

We help consulting companies and agencies deploy governed AI capabilities for enterprise clients. While building our platform, we realized the biggest missing piece was a reliable execution layer—so we built it ourselves. Today we are open-sourcing Stackmint Gateway: a framework-agnostic Python client that wraps your LangChain agents to enforce strict budgets, Human-in-the-Loop (HITL) gates, and circuit breakers locally.

Build your best playbooks once. Deploy them as governed AI products across every client.

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  TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315

  Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

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  Context GatewayMar 2026 · github.com · ▲220

  We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

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  An open-source AI Gateway with integrated guardrails2024 · github.com · ▲21

  Hi HN, I've been developing Portkey Gateway, an open-source AI gateway that's now processing billions of tokens daily across 200+ LLMs. Today, we're launching a significant update: integrated Guardrails at the gateway level. Key technical features: 1. Guardrails as middleware: We've implemented a hooks architecture that allows guardrails to act as middleware in the request/response flow. This enables real-time LLM output evaluation and transformation. 2. Flexible orchestration: The gateway can now route requests based on guardrail verdicts. This allows for complex logic like fallbacks…

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  Performative-UI – A react component library of design tropes▲1,181

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