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Relay

Eliminate engineering context loss across coding assistants

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Software engineers waste over 4 hours weekly re-explaining architectural constraints, debug histories, and failed attempts every time they switch between coding agents or terminal sessions.

Relay automatically captures terminal execution state, rejected hypotheses, and architectural decisions into an encrypted project ledger that instantly syncs across Cursor, Claude Code, Codex, and teammates. By preserving continuous state across different models and developer machines, engineering teams prevent redundant token consumption, eliminate repetitive onboarding, and cut PR cycle times by 40%.

Relay is building the foundational context-continuity infrastructure for the multi-agent software engineering workforce.

COMMENTS — Community Discussion
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Problem
  • When I switch from Claude Code to Cursor or Codex mid-task, I want to continue coding seamlessly, but I lose all architectural context and waste 45 minutes re-explaining requirements.
  • Why Now: High-performing engineering teams now run 3+ specialized AI agents simultaneously, but vendor silos cause severe fragmentation and duplicate token costs.
  • When I hand off an ongoing feature branch to a teammate or a background agent, I want them to know past failed attempts, but they repeat previously discarded approaches costing $150+ in wasted compute.
  • When I resume work on a complex bug after a weekend break, I want instant state recall, but terminal context is gone and I waste 2 hours retracing steps.
  • Existing Alternatives: Manual markdown scratchpads, pasting verbose terminal logs into prompt windows, and maintaining bloated, outdated prompt templates.
Solution
  • High-Level Concept: Segment-like state routing and persistent memory layer for autonomous coding assistants.
  • Zero-overhead background daemon that intercepts agent actions, test outputs, and architectural decisions into an encrypted project knowledge graph.
  • Universal CLI and IDE bridge that auto-injects relevant historical context and avoided dead ends into Cursor, Claude Code, Windsurf, and Aider.
  • Team memory sync that preserves institutional decision trees across git branches and developer handoffs without leaking secrets.
Distribution
  • Target Early Adopters: Tech leads and staff engineers at fast-growing Series A to Series C startups running multi-agent workflows daily.
  • Direct technical integrations and plugins published inside VS Code marketplace, JetBrains plugins, and Homebrew package managers.
  • Open-source local CLI core with community adapters for emerging agent protocols paired with viral GitHub demo workflows.
  • Targeted technical workshops for engineering directors at high-output software consultancies and boutique development shops.
Pricing
  • Value Ladder: Free for solo local developers
  • Pro at $19/seat/month for cross-device cloud persistence
  • Team at $49/seat/month for shared repository memory and SSO.
  • One Metric That Matters (OMTM): Context handoffs executed per active developer per week.
  • Market Sizing (SAM/SOM): Target segment is 450k professional multi-agent developers in North America and Europe; capturing 2.5% in Year 1 yields $2.5M ARR.
Scale Costs
  • Sub-millisecond vector indexing and low-latency graph synchronization infrastructure across distributed edge nodes.
  • Enterprise SOC2 Type II, HIPAA-ready on-premise encryption gateways to ensure proprietary source code remains strictly private.
  • Continuous CI maintenance and automated integration testing against weekly breaking CLI updates from OpenAI, Anthropic, and open-source agents.
Expert Opinions
Avg: 8.7
  • world-class VP of Engineering and DevTools scale architect
    9
  • world-famous Principal AI Systems Engineer and Distributed State specialist
    9
  • world-renowned Software Agency Owner and Enterprise Delivery Lead
    8
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