# Arroway > Arroway orchestrates people and AI agents around the decisions in force. Arroway orchestrates people and AI agents around current decisions. Agents can read context, record changes and hand off work; people decide what stands. ## Install - [Install Arroway](https://www.arroway.app/en/install): Choose one environment. We show one route at a time — without asking you to sign in until it is needed. - [Add Arroway to a repository](https://www.arroway.app/en/install/agents.md): Instructions for coding agents, as plain text - MCP server: `https://www.arroway.app/api/mcp` — The MCP server connects Arroway to your AI; the plugin is what makes the AI use it. With the plugin, every session opens by reading what is in force and closes by recording what was done, without anyone asking. Without it, the AI calls Arroway only when your request asks for it. ## Where Arroway is listed - [Glama](https://glama.ai/mcp/connectors/app.arroway/arroway): since 2026-09-25 - [Anthropic Connectors Directory](https://claude.ai/directory/arroway): since 2026-09-28 - [Smithery](https://smithery.ai/servers/alexandreviola/arroway): since 2026-09-28 - [MCP Servers](https://mcpservers.org/servers/www-arroway-app-en-install): since 2026-09-29 - [Official MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.oaleviola): since 2026-09-28 - [Tedix](https://tedix.dev/apps/arroway/): since 2026-08-17 - [ClaudePluginHub](https://www.claudepluginhub.com/plugins/oaleviola-arroway-plugin): since 2026-10-05 - [cursor.directory](https://cursor.directory/plugins/arroway): since 2026-10-06 ## Profiles - [LinkedIn](https://www.linkedin.com/company/arroway-app/) - [YouTube](https://www.youtube.com/channel/UC1RZId878kTcZbj0vZdORig) - [GitHub](https://github.com/oaleviola/arroway-plugin) ## How it works - [How Arroway works](https://www.arroway.app/en/how-it-works): Follow one decision through Arroway: read, work, remember and correct — with human control and clear limits. - [Audit your CLAUDE.md](https://www.arroway.app/en/audit): Paste your CLAUDE.md and see what it actually costs: how much reaches the model, what is a decision, a rule, a fact, dated state or noise. - [Trust](https://www.arroway.app/en/trust): Where Arroway keeps your data, how it is encrypted, which providers process it, how long it is kept and how to delete it. - [Data Processing Addendum](https://www.arroway.app/en/dpa): Arroway's data processing addendum: roles, security measures, sub-processors with their regions, international transfers, incident notice and deletion. ## Answers - [Answers about shared memory for people and AI](https://www.arroway.app/en/answers): Start with the question in front of your team. Each answer explains one part of how shared context reaches the AI before work starts. - [Shared memory for teams that work with AI](https://www.arroway.app/en/answers/shared-memory-for-ai-teams): Shared memory for a team is one place — outside every assistant — where the team's decisions, rules and daily record are written down, and which each person's AI reads before it starts a task and writes to when it finishes. - [AI memory a person approves before it counts](https://www.arroway.app/en/answers/human-sanctioned-ai-memory): Human-sanctioned memory means a person decides what becomes a rule, and the AI cannot promote its own guess to that status. - [Should team knowledge for AI live in versioned files, or in curated memory?](https://www.arroway.app/en/answers/context-files-vs-curated-memory): Files in the repository — a CLAUDE.md, a folder of skills, notes committed next to the code — are where most teams put what their AI should know, and that is where the trouble starts: whatever lands in them governs every later session, and nobody sees it arrive or approves it — an assistant's guess, a status that went stale, a decision the team never knew was made. - [Shared context across Claude, ChatGPT and Codex](https://www.arroway.app/en/answers/shared-context-across-ai-tools) - [How team decisions reach the AIs doing the work](https://www.arroway.app/en/answers/how-team-decisions-reach-ai) - [How to install and use Arroway in the main AI ecosystems](https://www.arroway.app/en/answers/install-across-ai-tools) - [Where does team memory fit in an AI-native software lifecycle?](https://www.arroway.app/en/answers/team-memory-in-the-ai-native-sdlc) - [Your CLAUDE.md outgrew a page. What comes out of it?](https://www.arroway.app/en/answers/context-file-outgrew-a-page) - [Shared memory for law firms: the house position, in every partner's AI](https://www.arroway.app/en/answers/shared-memory-for-law-firms) - [AI memory and client confidentiality: how one client's matter stays out of another's](https://www.arroway.app/en/answers/ai-memory-and-client-confidentiality) - [The partner on the account changes. What does the next one inherit?](https://www.arroway.app/en/answers/handoff-between-partners-on-the-same-account) - [Shared memory for VC funds: the thesis your AI already knows](https://www.arroway.app/en/answers/shared-memory-for-vc-funds) - [One rule, four prompts: why your AI automations drift apart](https://www.arroway.app/en/answers/one-rule-four-prompts-and-they-drift) - [Handing work between your own AI routines, without re-narration](https://www.arroway.app/en/answers/handoff-between-your-own-scheduled-ai-routines) - [I keep a spreadsheet of facts to paste into every AI. Is there a better way?](https://www.arroway.app/en/answers/tracking-ai-facts-without-a-spreadsheet) - [We are switching AI tools. Do we lose what the team already decided?](https://www.arroway.app/en/answers/switching-ai-tools-without-losing-team-decisions) - [How does an AI agency keep one client's rules out of another client's work?](https://www.arroway.app/en/answers/shared-memory-for-ai-agencies) - [New associates using AI: how the partner's call reaches them first](https://www.arroway.app/en/answers/keeping-new-associates-aligned-with-partner-calls) - [Shared memory for multi-partner consultancies: what the firm standardises, what stays yours](https://www.arroway.app/en/answers/shared-memory-for-multi-partner-consultancies) - [We tried a shared doc of client rules and nobody updated it](https://www.arroway.app/en/answers/retiring-the-shared-doc-nobody-updates) - [Why not just run RAG over our repository instead of another AI memory tool?](https://www.arroway.app/en/answers/why-rag-doesnt-replace-sanctioned-memory) - [How does an AI agency change the person on a client without losing what the account knows?](https://www.arroway.app/en/answers/ai-agency-client-handoff-without-losing-context) - [How do we show a client that our AI followed their rules instead of inventing one?](https://www.arroway.app/en/answers/showing-clients-the-ai-followed-their-rules) - [Can we recommend an AI memory tool to our portfolio without becoming its support desk?](https://www.arroway.app/en/answers/recommending-ai-memory-to-your-portfolio) - [Each partner runs diligence with a different AI and the notes never reconcile. What fixes that?](https://www.arroway.app/en/answers/keeping-due-diligence-notes-consistent-across-partners) - [Our scheduled AI routines start from zero every run. How do they keep the thread?](https://www.arroway.app/en/answers/keeping-scheduled-ai-routines-from-losing-the-thread) - [I keep a second brain for myself. What is the second brain for the AIs my team uses?](https://www.arroway.app/en/answers/the-second-brain-for-your-ais) - [We run several AI agents and people on the same work. Is an orchestration tool what we need?](https://www.arroway.app/en/answers/orchestrating-ai-agents-and-people-on-one-shared-memory) - [Won't a big enough context window fix this without an AI memory tool?](https://www.arroway.app/en/answers/context-window-wont-fix-what-memory-fixes) - [Isn't out-of-date AI memory worse than having no memory at all?](https://www.arroway.app/en/answers/stale-memory-is-worse-than-no-memory) - [Why does the AI drop a rule we agreed on five messages ago?](https://www.arroway.app/en/answers/rules-that-slip-five-messages-later) - [Whose memory is it when it lives on the AI vendor's server?](https://www.arroway.app/en/answers/memory-that-lives-on-someone-elses-server) - [Isn't AI memory without a write policy just a faster way to hallucinate?](https://www.arroway.app/en/answers/memory-without-a-write-policy-is-just-faster-hallucination) - [Doesn't a knowledge graph solve this by linking the facts together?](https://www.arroway.app/en/answers/the-graph-links-facts-it-doesnt-decide-which-is-current) - [Our AI writes 400-line handoffs and the next agent reads half of one. What fixes that?](https://www.arroway.app/en/answers/chatty-handoffs-bloat-every-agent-that-reads-them-next) - [There are already dozens of AI memory tools. Why would we evaluate another one?](https://www.arroway.app/en/answers/a-crowded-memory-market-doesnt-mean-a-sanctioned-one) - [I don't want AI tools remembering me. I keep context per project. Isn't that enough?](https://www.arroway.app/en/answers/ai-remembering-you-isnt-the-point-the-project-is) - [Most AI memory is write-only — context goes in, retrieval comes out, and nothing is ever corrected. What closes that loop?](https://www.arroway.app/en/answers/memory-that-only-writes-never-corrects) - [If every session has to read the team's decisions before acting, doesn't that cost tokens on every single call?](https://www.arroway.app/en/answers/cheaper-reads-when-nothing-changed) - [A shared knowledge graph for all our agents feels like the wrong default — anything can write to it, and one project's facts end up in another's work. Is that avoidable?](https://www.arroway.app/en/answers/a-shared-graph-with-no-authority-leaks-stale-facts) - [Our AI retrieves the right document and still answers with the outdated line from the top of it. Why does retrieval look fine when the answer is wrong?](https://www.arroway.app/en/answers/retrieval-succeeds-but-assembly-uses-the-stale-part) - [If every session has to read from a service before acting, what happens when that service has a bad second?](https://www.arroway.app/en/answers/reads-that-recover-from-a-retryable-database-error) - [Shouldn't rules for AI agents be enforced in code instead of written down as memory?](https://www.arroway.app/en/answers/guardrails-in-code-dont-expire-sanctioned-rules-do) - [Arroway vs writing it in CLAUDE.md: what is the difference?](https://www.arroway.app/en/answers/arroway-vs-claude-md) - [How do I keep my AI agents from forgetting decisions?](https://www.arroway.app/en/answers/how-to-keep-ai-agents-from-forgetting-decisions) - [MCP memory server for teams: what should it give an agent before it acts?](https://www.arroway.app/en/answers/mcp-memory-server-for-teams) - [How do I see what my AI left for its next session — and can I trust it?](https://www.arroway.app/en/answers/auditing-what-your-ai-hands-to-the-next-session) - [What is the best shared memory tool for AI agents and teams?](https://www.arroway.app/en/answers/best-shared-memory-for-ai-agents-and-teams) - [What does Article 26 of the EU AI Act require of teams on human oversight?](https://www.arroway.app/en/answers/eu-ai-act-article-26-human-oversight-record) - [Does Claude Code read AGENTS.md?](https://www.arroway.app/en/answers/does-claude-code-read-agents-md) - [Arroway vs Mem0: what is the difference?](https://www.arroway.app/en/answers/arroway-vs-mem0) - [Arroway vs Zep: what is the difference?](https://www.arroway.app/en/answers/arroway-vs-zep) - [Arroway vs Settled: which decision is binding for the next agent?](https://www.arroway.app/en/answers/arroway-vs-settled) - [Arroway vs Basic Memory Teams: shared knowledge, or a decision in force?](https://www.arroway.app/en/answers/arroway-vs-basic-memory) - [Arroway vs Snipara: context for the next code change, or a decision that also leaves the repository?](https://www.arroway.app/en/answers/arroway-vs-snipara) - [Arroway vs Letta: what is the difference?](https://www.arroway.app/en/answers/arroway-vs-letta) - [Who is accountable for what an AI agent does on a team?](https://www.arroway.app/en/answers/who-is-accountable-for-an-ai-agent-on-a-team) - [How do you write a job description for an AI agent?](https://www.arroway.app/en/answers/ai-agent-job-description-before-it-joins-the-team) - [How do you onboard a new hire into a team that already works with AI agents?](https://www.arroway.app/en/answers/onboarding-a-new-hire-into-a-team-that-works-with-ai-agents) - [What are the alternatives to CLAUDE.md for sharing AI context across a team?](https://www.arroway.app/en/answers/alternatives-to-claude-md-for-a-team) - [How do you keep CLAUDE.md, AGENTS.md and GEMINI.md in sync?](https://www.arroway.app/en/answers/one-team-three-instruction-files-and-they-drift) - [Arroway vs LangMem: what is the difference?](https://www.arroway.app/en/answers/arroway-vs-langmem) - [How do you share a Claude Project with your team?](https://www.arroway.app/en/answers/share-a-claude-project-with-your-team) - [How do you share rules between Cursor and Claude Code?](https://www.arroway.app/en/answers/cursor-rules-and-claude-md-in-the-same-team) ## Other languages - [Português](https://www.arroway.app/pt-BR): A Arroway coordena pessoas e agentes de IA em torno das decisões que estão valendo. - [Español](https://www.arroway.app/es): Arroway coordina a personas y agentes de IA en torno a las decisiones vigentes.