Context Gateway cuts latency and token spend for Claude Code / Codex / OpenClaw by compressing tool output while preserving important context. Setup takes less than a minute. Quality-of-life features: instant context compaction and setting spend limit in Claude Code.
Hey all! 👋 We are releasing Context Gateway - our context compression proxy, which cuts token spend and improves accuracy/latency for Claude Code, OpenClaw, Codex, and other agents.
We built it because agents struggle to efficiently manage lengthy context: each tool an agent calls can return thousands of redundant tokens, leading to unnecessary spend, higher latency, and lower generation quality. The proxy invisibly fixes that by compressing whatever context the agent has to deal with.
We've also added a number of quality-of-life features, which are missing from Claude Code: instant context compaction (same /compact, but you don't wait for 3 minutes), setting the spend cap, sending Slack notifications, and more.
We are open-sourcing everything except for the models we use for context compression, which are free to use during the launch.
Excited to hear your feedback and the features you'd want next! 🚀
So to cut token spend in Claude Code you actually spend more tokens on a summarizer model? And this model will summarize your content on it's will, actually running the risk of cutting important information?
Could the summarization be done with a local model instead?
The token compression angle is the right problem to attack — once devs start hitting context limits mid-session, the cognitive cost of managing that manually kills flow. Curious how the compression handles cases where the 'noise' in tool output turns out to be context a later step actually needed — that edge case is where these systems tend to break trust with developers. The Claude Code integration is smart timing given how fast that tool's adoption is moving right now. Would be interested to see how much latency reduction looks like in practice on a typical 30-minute coding session.
Relevant issue we are all facing! I could see you getting acquihired. Congrats on the launch
Caught your Context Gateway launch 195 upvotes for dev tooling is solid traction.. curious about your growth motion: are you seeing organic dev community adoption or planning outbound to engineering teams at scale? Most dev tools I've worked with struggle quantifying ROI beyond 'faster/cheaper' anecdotes, which makes performance marketing nearly impossible. If you're exploring paid acquisition or have ambitions in MENA markets (UAE/KSA have aggressive AI infrastructure investment), I'd be interested in discussing attribution frameworks that actually work for technical products. The challenge isn't getting developers interested, it's proving value to budget holders. Happy to share what's worked for technical products in growth stage.
The spend cap and Slack notifications are almost more valuable than the compression itself. Running Claude Code on a large codebase without any spending guardrails is genuinely stressful. You check back after 20 minutes and it's burned through $40 on a rabbit hole.
Is the compression lossy in practice? I've seen context window summaries drop important details (like specific variable names or error messages) that then cause the agent to hallucinate fixes. How do you handle preserving the details that actually matter vs. trimming the boilerplate?
Great team, great product - tons of potential for agentic workflows that deal with heavy context. 🚀
Oh man the instant compaction alone is worth it. I've been hitting /compact in Claude Code and just staring at the screen for like 3 minutes every time my context gets bloated. The spend cap + Slack notifications combo is also super practical, I've definitely had sessions where I looked away for a bit and came back to a surprisingly large bill lol
Really smart approach to a problem I hit constantly - agent tool calls returning massive outputs that bloat context and burn tokens. The instant compaction feature is clutch too, waiting 3 min for /compact in Claude Code always kills my flow. Curious how the compression models handle code-heavy outputs vs prose - do you see different compression ratios?
Congrats on the launch! Curious how the compression handles tool outputs that contain mixed content, structured data alongside verbose logs, for example. Does it preserve the structured parts reliably while trimming the noise, or is it more of a blunt summarization?
