> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memic.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Memic?

> A unified context layer for AI agents — structured and unstructured, behind a single API.

Modern AI agents — whether you're building your own or running one from the
OpenClaw / MCP ecosystem — need different kinds of context at different
moments in their execution. A planning step wants a system prompt and a
couple of tool definitions. A retrieval step wants filtered document
passages. A reasoning step might need structured data pulled from an
integration. A reflection step wants all of the above plus recent
conversation state.

Wiring this up inside application code gets messy fast. Prompts live in one
module, reference docs in a vector DB, connector data in another service,
knowledge-base files loaded from disk at startup, and glue code stitching
it all together. Every new agent or feature multiplies the surface area —
and the bugs.

**Memic is a unified context layer for AI agents.** One API key, one SDK,
one interface for every kind of context your agent needs — unstructured
documents, structured data from connectors, and managed prompts — all
scoped to an isolated environment so tenants never cross-contaminate.

<CardGroup cols={2}>
  <Card title="5-minute quickstart" icon="rocket" href="/quickstart-python">
    Install the Python SDK and make your first search call.
  </Card>

  <Card title="Core concepts" icon="diagram-project" href="/core-concepts">
    Organizations, projects, environments, and folders.
  </Card>

  <Card title="API reference" icon="code" href="/api-reference/introduction">
    The full REST API — 10 endpoints.
  </Card>

  <Card title="Python SDK" icon="python" href="/sdks/python/installation">
    The `memic` package on PyPI.
  </Card>
</CardGroup>

## What Memic unifies

* **Unstructured context** — PDFs, Office docs, web pages, Markdown.
  Chunked, embedded, and semantically searchable.
* **Structured context** — rows from connectors (Google Drive, Notion, S3,
  custom sources). Queryable alongside your documents.
* **Managed prompts** — system prompts and templates stored in the
  dashboard, versioned, editable without a redeploy.
* **Multi-tenancy by design** — each API key is locked to exactly one
  environment, so your agents never accidentally read a different
  customer's context.

## Why not just glue it together yourself?

Without a unified layer, a typical agent stack ends up touching:

* `prompts.py` with hardcoded system prompts
* Pinecone or Weaviate for vector search over docs
* A separate indexer job that keeps vectors fresh as files change
* Another system for structured data from Postgres / Notion / Salesforce
* Glue code handling retries, pagination, auth, and errors
* A tenancy layer you build yourself if customers need isolation

Every new feature extends one of these. Every new agent duplicates some of
them. Every new customer means another isolation layer to maintain.

**Memic collapses all of it** into a small API. You write
`client.search(query)`, `client.prompts.get("planner-system")`, or
`client.files.upload(...)` — the underlying storage, retrieval, tenancy,
and versioning is handled.

## The shape of the API

```bash theme={null}
curl https://api.memic.ai/api/v1/search \
  -H "X-API-Key: mk_live_..." \
  -H "Content-Type: application/json" \
  -d '{"query": "what is our refund policy"}'
```

No `org_id`, no `project_id`, no `environment_slug` in the URL. Your API
key already knows. Swap the key, swap the environment — your code doesn't
change.

## Who Memic is for

* **Teams building AI agents** that pull context from multiple sources —
  documents, databases, managed prompts — and don't want to stitch three
  different systems together
* **Developers running agents** from the OpenClaw / MCP ecosystem who need
  per-agent context isolation and versioned prompts
* **Platforms embedding RAG or agent features** into their own products,
  where each customer's context must stay isolated from every other
  customer's

## Ready to try it?

<Card title="Start with the Python quickstart" icon="arrow-right" href="/quickstart-python" horizontal>
  Install, authenticate, upload a file, and search — in five minutes.
</Card>