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Compresr-ai / Context-Gateway

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Context Gateway is an agentic proxy that enhances any AI agent workflow with instant history compaction and context optimization tools

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100% credibility
Found Feb 11, 2026 at 44 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Context Gateway is a background helper that automatically shortens long AI agent conversations so you never wait for summaries.

How It Works

1
🔍 Discover the fix for long AI chats

You hear about a simple helper that keeps your AI conversations going forever by smartly shortening old parts without making you wait.

2
📥 Get it with one command

Run a quick download command and it installs itself neatly on your computer.

3
🔗 Link your AI service

Add your AI account details once so the helper can talk to your favorite AI.

4
🚀 Start the background magic

Click to launch and it quietly watches your chats, preparing summaries ahead of time.

5
💬 Chat with your AI agent as usual

Point your coding buddy to the helper's address and keep building without limits.

6
⚡ Get instant summaries

When your chat gets too long, summaries appear right away—no pauses or delays.

🎉 Endless productive conversations

Enjoy marathon coding sessions that never hit limits, with all key details preserved.

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AI-Generated Review

What is Context-Gateway?

Context-Gateway is a Go proxy that slips between AI agents like Claude Code or Cursor and LLM APIs (OpenAI, Anthropic), auto-compacting conversation history to dodge context limits. It pre-summarizes in the background for instant compaction on demand—no pauses mid-session. Install via curl script, add your API key to .env, run `context-gateway`, then export `ANTHROPIC_API_URL=http://localhost:18080` to route traffic.

Why is it gaining traction?

Unlike raw LLM APIs or basic context API gateways, it delivers zero-latency history optimization via preemptive summarization, plus session logs (`logs/compaction.jsonl`) for tracking context variables and trajectories. Native agent launcher (`context-gateway agent claude_code`) simplifies workflows, weaving in GitHub context-like smarts for tool outputs and prompts. YC backing adds polish to its api gateway context handling.

Who should use this?

AI agent builders hitting 200k-token walls in Claude Code or OpenClaw sessions. Devs in GitHub workflows needing context engineering without manual compaction, or teams optimizing AWS API Gateway-like proxies for long chats.

Verdict

Grab it for local agent testing—strong quickstart and logs make evaluation easy—but 40 stars and 1.0% credibility signal early maturity; lacks broad prod hardening. Solid if context limits kill your flow.

(187 words)

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