AI amnesia
Every session starts from zero. You spend 20–30% of your day re-explaining your stack, rules, and recent decisions.
Arkes gives Claude Code and Cursor live team context — goals, rules, recent work — so you stop re-explaining everything every session.
{
"active_goals": [
"Ship MCP context API by June 15",
"Reduce AI re-explanation time by 80%"
],
"team_rules": [
"Never merge without a verification report",
"Use withTenant() for all DB queries",
"pnpm only — no npm or yarn"
],
"recent_activity": [
"PR #142: added chat pin feature (merged)",
"Migration 0008: chat_pin column",
"GitHub backfill: 409 edge case fixed"
],
"open_gaps": [
"Verification report endpoint not wired",
"Linear sync last ran 4 hours ago"
]
}The problem
Every session starts from zero. You spend 20–30% of your day re-explaining your stack, rules, and recent decisions.
No one sees the gap between what was planned and what's actually shipping — until it's too late to course-correct.
Senior engineers leave and their context leaves with them. No procedure survives a departure.
How it works
Link GitHub, Linear, and Slack in one-time setup. Arkes ingests your goals, procedures, and recent activity.
Claude Code or Cursor calls arkes_get_context via MCP. It receives a task-specific pack of goals, rules, and recent work — no prompting required.
The agent submits a verification report: rules followed, checks run, gaps closed. Every session improves the next context pack.
Early access
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Building with Cursor or Claude Code? We want to talk. hello@tryarkes.com