Synapse proxy
The ultimate Agentic Firewall & Telemetry Proxy for LLMs.
Synapse proxy launched on June 22, 2026 with 2 votes.
What it does
Synapse Proxy sits gracefully between your app and any OpenAI-compatible provider. It brings military-grade observability, security, and smart caching to your autonomous AI agents. Block infinite loops, redact PII, and optimize your token usage by 30%.
B2B SaaS LLM Proxy Dashboard
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I built a smart proxy so your coding agent can run looseJul 2026 · trollbridge.dev · ▲14The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to something new, I was poking more holes in it - and it didn't differentiate between HTTP verbs. I've been…
- BAButter, a muscle memory cache for LLMs2025 · docs.butter.dev · ▲23
Hi HN, Erik here. Today we launch Butter, an OpenAI-compatible API proxy that caches LLM generations and serves them deterministically on revisit. Since April, we’ve been working on this concept of “muscle memory,” or deterministic replay, for agent systems performing automations. You may recall our first post in May, launching a python package called Muscle Mem: https://news.ycombinator.com/item?id=43988381 Since then, the product has evolved entirely, now taking the form of an LLM Proxy. For a deep dive into this process, check out:…
Open-Source Gateway to Stop Tool-Abusing Prompt Injections2025 · archestra.ai · ▲9Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
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