# Memtro

> Memory infrastructure & AI Orchestration for your company. An OpenAI-compatible API in front of the tools a team already uses (196 connectors, reading by default and acting where you grant it: Gmail, Outlook, Google and Outlook calendars, Slack, LinkedIn (personal), Microsoft Teams, Granola, Drive, SharePoint, Notion, Confluence, HubSpot, Salesforce, Pipedrive, Twenty, Help Scout, Zendesk, Intercom, Freshdesk, Xero, QuickBooks, Stripe, Felloh, Starling Bank, Shopify, Linear, Jira, Asana, monday.com, Airtable, GitHub, Sentry, CloudWatch, Postgres, MySQL, SQL Server, BigQuery, Snowflake, Google Analytics, Plausible, Google Search Console, BambooHR, AWS Athena, Zoho CRM, Dynamics 365, Mailchimp, Klaviyo, GitLab, PagerDuty, Datadog, Zoom, Google Workspace and Entra ID directories) and the models it already pays for (Anthropic, OpenAI, Google, xAI, OpenRouter, DeepSeek, OpenAI-compatible endpoints, Claude Code), with a shared knowledge-graph memory, connector tools that read unless an action is granted, model routing by difficulty, a multi-step agent mode, scheduled jobs, and an MCP server.

Humans sign in at https://platform.memtro.com. Agents use an API key (`sk-memtro-…`) against https://platform.memtro.com/v1 or the MCP server at https://platform.memtro.com/api/mcp. See https://www.memtro.com/agents.md for a connection recipe.

## Docs

- [Getting started](https://www.memtro.com/docs/getting-started/): Sign in, add a model key, create an API key and send your first request, then connect a first system so answers come with citations.
- [Quickstart](https://www.memtro.com/docs/quickstart/): Your first request from curl, Python, JavaScript, OpenCode or Claude Code.
- [API reference](https://www.memtro.com/docs/api/): Endpoints, model ids, the memtro extension, streaming and tools: everything an OpenAI-compatible client needs to talk to Memtro.
- [Memory](https://www.memtro.com/docs/memory/): How Memtro learns, personal versus shared knowledge, history as of any date, and importing from ChatGPT and Claude.
- [Time travel](https://www.memtro.com/docs/time-travel/): Read memory as of any date, follow how a fact changed, and ask what the company believed in July.
- [Jargon](https://www.memtro.com/docs/jargon/): Your own vocabulary, as part of memory: the words your business uses in its own way and what each one points at, so every answer starts from your usage rather than the dictionary's.
- [Procedures](https://www.memtro.com/docs/procedures/): The other half of memory: not what is true, but how the work is done here — so the assistant follows your sequence rather than inventing a sensible-looking one.
- [Measures](https://www.memtro.com/docs/measures/): What memory knows about your numbers: the figures your business has agreed the meaning of, and the rule behind each, so a figure in an answer is yours rather than the obvious reading of the words.
- [Connectors](https://www.memtro.com/docs/connectors/): Every connected system, what the model can do with it, and how to connect it.
- [Teams and permissions](https://www.memtro.com/docs/teams/): Admins and users, teams, who can use which shared connection, and what users may set up.
- [Single sign-on and provisioning](https://www.memtro.com/docs/identity/): Sign in through Microsoft Entra ID, Okta, OpenID Connect or SAML 2.0, verify your domains, and let SCIM manage joiners, leavers and groups.
- [Billing, seats and leaving](https://www.memtro.com/docs/billing/): What the subscription covers, the tiers, what happens when somebody leaves, and cancelling versus deleting the organisation.
- [Model routing](https://www.memtro.com/docs/routing/): The auto model: per-level ladders, the difficulty classifier, fallbacks, the coding ladder and the agent-mode floor, set per organisation, team or person.
- [Cost control](https://www.memtro.com/docs/cost-control/): A token allowance a month for each model choice: when one runs out the cheaper one answers, and a level with nothing left refuses instead of costing more.
- [Agent mode](https://www.memtro.com/docs/agent-mode/): Multi-step investigations, cross-referencing, and how the loop is confined.
- [Code mode](https://www.memtro.com/docs/code-mode/): How agent mode writes a short script to read, filter and join across systems in one step, why a script can only read, and where it runs.
- [Prompt injection](https://www.memtro.com/docs/prompt-injection/): What happens when a ticket tells your assistant what to do: the rules Memtro applies outside the model, what they cost, and what they do not cover.
- [Jobs](https://www.memtro.com/docs/jobs/): Scheduled actions created from chat or the dashboard: digests, monitors and reminders that run with their owner's tools and report back in a chat.
- [Commitments](https://www.memtro.com/docs/commitments/): Who promised what in a meeting, by when, and whether the other systems show it landed.
- [Contradictions](https://www.memtro.com/docs/contradictions/): The things your business believes twice, differently — found by reading its own memory against itself, and corrected by answering them.
- [Decisions](https://www.memtro.com/docs/decisions/): The reasons behind the code, read from pull requests and threads, kept against the code and posted back when you ask.
- [Usage statistics](https://www.memtro.com/docs/usage/): Tokens and requests by user, team, model and day, with CSV export, so the cost of every conversation is visible to the people who pay for it.
- [Privacy and erasure](https://www.memtro.com/docs/privacy/): Answer a request to be forgotten: find everything held about a person, erase it across every store, and keep the receipt.
- [MCP server](https://www.memtro.com/docs/mcp/): Use Memtro's tools from any MCP client: Claude Code, Cursor, Claude Desktop and your own agents get memory and connectors over one endpoint.
- [Tools reference](https://www.memtro.com/docs/tools/): Every memtro_ tool the model and MCP clients can call, with its inputs.
- [OpenAPI reference](https://www.memtro.com/docs/openapi/): The /v1 endpoints, request and response schemas, rendered from the OpenAPI spec.
- [Troubleshooting](https://www.memtro.com/docs/troubleshooting/): Every error code the API returns, what it means and how to fix it, from a missing key to a level whose allowance ran out this month.

## Guides

- [OpenCode](https://www.memtro.com/docs/guide-opencode/), [Pi](https://www.memtro.com/docs/guide-pi/), [Claude Code](https://www.memtro.com/docs/guide-claude-code/), [Codex](https://www.memtro.com/docs/guide-codex/), [Meta (Muse Spark)](https://www.memtro.com/docs/guide-meta/), [Cursor](https://www.memtro.com/docs/guide-cursor/), [Open WebUI](https://www.memtro.com/docs/guide-open-webui/), [OpenAI SDKs](https://www.memtro.com/docs/guide-openai-sdk/), [Slack](https://www.memtro.com/docs/guide-slack/), [Help Scout](https://www.memtro.com/docs/guide-help-scout/), [Postgres and warehouses](https://www.memtro.com/docs/guide-postgres/), [Scheduling a job from chat](https://www.memtro.com/docs/guide-jobs/), [Importing ChatGPT and Claude memory](https://www.memtro.com/docs/guide-import/)

## Other

- [Connectors](https://www.memtro.com/connectors/) (one landing page per connector, searchable), [Integrations](https://www.memtro.com/integrations/), [Use cases](https://www.memtro.com/use-cases/), [Comparisons](https://www.memtro.com/compare/), [Changelog](https://www.memtro.com/changelog/)
- [MCP server](https://www.memtro.com/mcp/) (one MCP server per connector, 130+ pages), [AI gateway](https://www.memtro.com/gateway/), [Agent memory for companies](https://www.memtro.com/memory/), [Glossary](https://www.memtro.com/glossary/), [Features](https://www.memtro.com/features/), [Industries](https://www.memtro.com/industries/)
- [Time travel](https://www.memtro.com/docs/time-travel/) (read memory as of any date), [Pricing](https://www.memtro.com/pricing/), [Security](https://www.memtro.com/security/), [Privacy](https://www.memtro.com/privacy/), [Subprocessors](https://www.memtro.com/subprocessors/), [About](https://www.memtro.com/about/), [Contact](https://www.memtro.com/contact/)
- [Blog](https://www.memtro.com/blog/): [Code mode: fewer steps, smaller bills, better answers](https://www.memtro.com/blog/code-mode-read-path/), [Why AI hallucinates about your own company data](https://www.memtro.com/blog/ai-hallucination-company-data/), [What the EU AI Act asks of your data](https://www.memtro.com/blog/eu-ai-act-record-keeping/), [MCP vs API, when the caller is a model](https://www.memtro.com/blog/mcp-vs-api/), [Prompt caching, and why your cache never hits](https://www.memtro.com/blog/prompt-caching/), [Your AI pilot did not stall because of the model](https://www.memtro.com/blog/why-ai-pilots-stall/), [What it costs to paste your company into every prompt](https://www.memtro.com/blog/cost-of-pasting-context/), [A knowledge graph is not a better vector search](https://www.memtro.com/blog/knowledge-graph-vs-rag/), [When your AI gets it wrong, can you prove what it knew?](https://www.memtro.com/blog/what-did-the-ai-know/)
- [OpenAPI spec](https://www.memtro.com/openapi.yaml)