
AgentGate
Agent-aware LLM cost tracking for small teams.
AgentGate launched on June 4, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Lightweight LLM gateway for teams of 5-50, without Enterprise pricing. ① Per-task cost trees, not flat logs See Task → 30 calls across 3 models → $0.47 total. Not just a bill. ② New models work on day one Transparent proxy. OpenAI-compatible models route instantly. No waiting. ③ Team controls included Usage alerts, rate limiting, data export. No "contact sales" wall. Waitlist live. Built for teams who've outgrown hacky scripts but can't justify $500/mo plans.
A lightweight LLM API gateway built for small AI teams. Predictable pricing, fast model support, and cost visibility your whole team can actually use.
A lightweight API gateway built for small AI teams running agents in production — predictable pricing, fast model support, and cost visibility your whole team can actually use. New model drops today? Route it today. No format translation, no waiting — transparent pass-through proxy. Devs, PMs, and founders see what's happening — role-based access without Enterprise pricing. Pay for what you use, know what you'll pay. No billing surprises. Know exactly which agent task, feature, or workflow is burning your budget — not just which API key. We're building this for teams like yours. Drop your email and we'll let you know when it'sfrom agentgate-theta.vercel.app
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TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many 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 · ▲220We 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…
LLM Gateway2025 · llmgateway.io · ▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
IQ RoutingAug 2026 · iq-routing.com · ▲100Route every LLM call to the cheapest model that holds quality. Chatbots, RAG, agent loops, and finance. Cut spend 40 to 80 percent, measured on our own traffic, live in thirty seconds.
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