Context Gateway
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…
Context Gateway launched on March 6, 2026 with 220 votes, #144 of 23,380 launches that month and more than 99% of that year's launches.
In plain words
Context Gateway is an open-source proxy that sits between AI coding agents and language models, compressing tool outputs to reduce token usage and improve quality. It automatically condenses verbose output from file reads and grep commands while preserving important information, using small language models to identify signal-rich context. The tool installs in under a minute and works with Claude Code, Cursor, and similar agents, addressing the accuracy degradation that occurs when context windows grow too large.
written from the facts on this page · September 2026
From the sources
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.
Context Gateway is an agentic proxy that enhances any AI agent workflow with instant history compaction and context optimization tools - Compresr-ai/Context-Gateway
Compresr is a YC-backed company building LLM prompt compression and context optimization. Context Gateway sits between your AI agent (Claude Code, Cursor, etc.) and the LLM API. When your conversation gets too long, it compresses history in the background so you never wait for compaction. # Install gateway binary curl -fsSL https://compresr.ai/api/install | sh # Then select an agent (opens interactive TUI wizard) context-gateway The TUI wizard will help you: We welcome contributions! Please join our Discord tofrom github.com
In the maker’s words, at launch
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…
Does a similar job
all alternatives →
AI Context FlowNov 2025 · chromewebstore.google.com · ▲431Reusable AI Memory for Smarter Prompts Anywhere
Context OverflowMar 2026 · ctxoverflow.dev · ▲109Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…
Ktx – Open-source executable context layer for data agentsMay 2026 · github.com · ▲93Hi HN, we’re open-sourcing ktx. It’s an executable context layer that makes agents reliable on your data stack. We built it after going through the experience of building production-grade data agents for dozens of companies. If you’ve also tried building them, or simply tried using Claude Code or Codex on your data warehouse, you’ll know that accuracy is the #1 issue. Agents are great at generating valid SQL, but it’s not always correct SQL. To cite a few examples of “agents gone wrong”: - Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code…
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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