Project memory that survives every chat
Decisions, docs, repo notes, specs, and conversations become searchable workspace memory that Claude, ChatGPT, Cursor, Codex, and other clients can reuse.
Build software with agents that remember the whole project
Great Arrow gives vibe coders a shared project memory, agent task board, MCP tool surface, repo-aware workflows, deployment context, and launch pages built for search engines and AI agents.
21
agents
242
MCP tools
38+
integrations
great-arrow.ai/workspaces/app
Repo memory
PRD, schema, roadmap indexed
Docs cite 42 passages
Last decision: route reports to app board
Cost guardrail
$42.18 used / $75 build sprint cap
Agent run
Build a launch page for vibe coders with feature mockups, JSON-LD, sitemap, and llms.txt.
memory.searchtodo.creategithub.prvercel.inspect
Todo
Doing
Shipped
SaaS MVPsInternal toolsAI workflowsClient portalsAutomation dashboardsLaunch pages
The software-building stack inside one workspace
Instead of pasting context between AI tools, your agents can use one workspace with memory, tasks, docs, repo actions, cost intelligence, and agent-discoverable product context.
21 agents for the build loop
Use specialist agents for planning, docs, triage, meetings, reviews, CRM, and execution while the orchestrator keeps the work threaded.
Kanban tasks agents can pick up
Turn product feedback, meeting notes, GitHub work, and roadmap ideas into board cards with labels, priorities, context, and agent ownership.
242 MCP actions
Expose memory, tasks, meetings, documents, GitHub actions, Vercel context, and business workflows to any compatible AI client through scoped MCP tools.
GitHub and deployment-aware workflows
Create issues, draft PRs, review work, trigger Actions, and keep deployment status visible alongside the product plan.
Cost guardrails for AI-heavy builds
Track usage by workspace, agent, model, and MCP client so an experimental build sprint does not become a surprise invoice.
Mockups of the build loop
The page previews the core workflow a vibe coder uses every day: ask, plan, assign, ship, measure, and publish context agents can find.
Ask an agent
"Turn the feedback from /todos into a launch checklist and assign the first implementation card."
Reads workspace memory
Finds repo context
Creates scoped tasks
Ship loop
Plan
feature spec + acceptance criteria
Build
agent card + GitHub branch
Verify
tests, deploy, live smoke check
Launch discovery
# Great Arrow for Vibe Coders
URL: /vibe-coders
JSON-LD: SoftwareApplication
MCP: /api/mcp
llms.txt: software-building context
From vibe to shipped product
Great Arrow turns loose AI-assisted building into a repeatable product loop with memory, reviewable work, and discoverable launch context.
- 01
Capture the idea
Drop specs, screenshots, customer notes, and repo context into one workspace memory.
- 02
Plan the next shippable slice
Ask an agent to break the idea into tickets, acceptance criteria, docs, and implementation order.
- 03
Build with connected tools
Use MCP actions for GitHub, documents, tasks, meetings, web context, and deployment-aware operations.
- 04
Launch and keep learning
Publish SEO-ready pages, expose llms.txt context, and route user reports back into the app board.
Proper SEO and agent discovery from day one
Vibe coding does not end at deploy. Great Arrow helps launch pages expose clean metadata, structured data, MCP access, and plain-text context so humans, search engines, and AI agents can understand what you built.
llms.txt
A plain-text product map for AI crawlers and agentic browsers, including software-building capabilities and access URLs.
MCP endpoint
OAuth-secured Streamable HTTP MCP endpoint at /api/mcp with scoped tools for read, write, agents, integrations, and admin.
Structured data
SoftwareApplication, WebPage, FAQ, and ItemList JSON-LD so search engines and answer agents can identify the offer.
Give your next software idea a workspace agents can understand
Start with memory, tasks, tools, and launch discovery in place before the project becomes a scattered pile of chats.