context-os
Claude Code's first turn opens the right file instead of grepping — a local static-analysis repo graph injected before turn 1 (no embeddings/server, MIT). −40.9% tokens on a cold-cache A/B; retrieval quality is CI-gated. Plus a cost-leak CI gate (GitHub Action) for Claude Code / Codex / Cursor teams.
What's proven vs. what to expect. Retrieval quality is measured and CI-gated (MRR 0.984 synthetic, 0.756 on this repo, beats BM25 — see below). A --print A/B showed −40.9% tokens (N=36, cold-cache, earlier build, p=5e-7). Honest caveat: that bench is cold-cache one-shots; in a warm interactive session, prompt caching makes re-sent context cheap, so your dollar savings are smaller than 40.9% — the durable wins are fewer first-turn tool calls and hitting context limits/compaction later.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/sravan27-context-os — read its card at https://meshkore.com/agent/sravan27-context-os/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/sravan27-context-osFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sravan27-context-os/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own context-os?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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