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

# Custom Anthropic-Compatible Backends

> Point claude-mem at bridged or self-hosted Anthropic-compatible API endpoints with ANTHROPIC_BASE_URL

# Custom Anthropic-Compatible Backends

When you use the `claude` provider, claude-mem talks to the Anthropic API through the Claude Agent SDK. By default, the SDK targets the official Anthropic endpoint, but it honors the standard `ANTHROPIC_BASE_URL` environment variable. That means you can route claude-mem at any Anthropic-protocol-compatible backend — for example a corporate gateway, a regional bridge, or a third-party provider that exposes an Anthropic-shaped API — without changing any claude-mem source code.

<Note>
  This page documents how to **persist a custom base URL** so claude-mem's worker uses it consistently. For OpenAI-compatible upstream providers, use a gateway such as LiteLLM and follow the [LiteLLM Gateway](litellm-gateway) guide.
</Note>

## When to Use This

Use `ANTHROPIC_BASE_URL` if you need claude-mem's observation worker to talk to:

* A **corporate Anthropic gateway** (proxy in front of `api.anthropic.com`)
* A **regional Anthropic deployment** (e.g. AWS Bedrock or GCP Vertex via an Anthropic-compatible shim)
* A **third-party provider** that bridges its API to the Anthropic protocol

If your provider only speaks the OpenAI chat-completions protocol, put a gateway such as LiteLLM in front of it and point claude-mem's Claude Agent SDK path at that gateway. See [LiteLLM Gateway](litellm-gateway) for the full routing model.

## How the Plumbing Works

The flow is intentionally simple:

1. **You write the credential** to `~/.claude-mem/.env`.
2. **`EnvManager.loadClaudeMemEnv()`** reads that file (`src/shared/EnvManager.ts:67`).
3. **`buildIsolatedEnv()`** copies `ANTHROPIC_BASE_URL` into the worker's spawn environment alongside explicit gateway or API credentials (`src/shared/EnvManager.ts:164`).
4. **`ClaudeProvider.startSession()`** spawns the Claude Agent SDK with that isolated env (`src/services/worker/ClaudeProvider.ts:115`). The SDK reads `ANTHROPIC_BASE_URL` natively — claude-mem does not parse or rewrite it.

Because the variable is isolated to the worker process, your interactive Claude Code sessions are unaffected; only the background memory agent uses the override.

## Configuration

### Step 1: Edit `~/.claude-mem/.env`

The credentials file is a plain `KEY=VALUE` env file at `~/.claude-mem/.env` (mode `0600`). Add or update the `ANTHROPIC_BASE_URL` line:

```bash theme={null}
# ~/.claude-mem/.env
ANTHROPIC_API_KEY=sk-ant-...
ANTHROPIC_BASE_URL=https://your-gateway.example.com/v1
```

If the file does not yet exist, create it. The directory permissions are enforced to `0700` and the file to `0600` automatically on the next worker write.

### Step 2: Pick a Compatible Model

`CLAUDE_MEM_MODEL` (in `~/.claude-mem/settings.json`) is passed straight through to the SDK. The model name **must be one your bridge accepts** — claude-mem does not translate names.

```json theme={null}
{
  "CLAUDE_MEM_MODEL": "claude-haiku-4-5-20251001"
}
```

If your bridge expects a non-Anthropic model name (for example, a Bedrock inference profile), set that string here instead.

### Step 3: Restart the Worker

Credentials are loaded when the worker spawns the SDK, so a restart is required after you edit `.env`:

```bash theme={null}
npm run worker:restart
```

## Worked Example: Corporate Gateway

Suppose your team runs `https://anthropic-proxy.internal.example.com` in front of `api.anthropic.com` for audit and rate-limit purposes. The proxy accepts the same protocol and the same model names.

`~/.claude-mem/.env`:

```bash theme={null}
ANTHROPIC_API_KEY=sk-corp-...
ANTHROPIC_BASE_URL=https://anthropic-proxy.internal.example.com
```

`~/.claude-mem/settings.json`:

```json theme={null}
{
  "CLAUDE_MEM_PROVIDER": "claude",
  "CLAUDE_MEM_MODEL": "claude-haiku-4-5-20251001"
}
```

Restart, and the next observation will be routed through your gateway.

## Verifying

After restarting, watch the worker logs for the next observation flush:

```bash theme={null}
npm run worker:logs
```

A successful request through your gateway shows the standard `SDK Starting SDK query` line followed by `Response received`. If the gateway rejects the request, the SDK error surfaces verbatim in `worker-error.log` — there is no silent fallback to the public Anthropic endpoint.

## Limitations and Gotchas

* **No model-name translation.** If your bridge expects `glm-4.7` and `CLAUDE_MEM_MODEL` is `claude-haiku-4-5-20251001`, the request will fail. Pin `CLAUDE_MEM_MODEL` to a name your bridge recognizes.
* **Gateway auth usually uses `ANTHROPIC_AUTH_TOKEN`.** For LiteLLM gateway mode, store the gateway key or virtual key as `ANTHROPIC_AUTH_TOKEN`. Use `ANTHROPIC_API_KEY` for direct Anthropic API-key mode or gateways that explicitly expect it.
* **`ANTHROPIC_BASE_URL` from your shell is not inherited.** `ANTHROPIC_API_KEY` is in the BLOCKED\_ENV\_VARS list (`src/shared/EnvManager.ts:10`) to prevent accidental billing on a shell-leaked key — `ANTHROPIC_BASE_URL` is not blocked, but it must still be set in `~/.claude-mem/.env` for the worker to pick it up reliably across restarts. Do not rely on shell exports.
* **No auto-detection.** If you have already configured `ANTHROPIC_BASE_URL`, `ANTHROPIC_DEFAULT_HAIKU_MODEL`, etc. for Claude Code itself, claude-mem will **not** read those today. Mirror the relevant values into `~/.claude-mem/.env` and `~/.claude-mem/settings.json`.

## Related

* [Configuration](../configuration) — All claude-mem settings
* [LiteLLM Gateway](litellm-gateway): Route the Claude Agent SDK path through LiteLLM
* [OpenRouter Provider](../usage/openrouter-provider) — OpenAI-compatible bridge for non-Anthropic protocols
* [Gemini Provider](../usage/gemini-provider) — Native Gemini API alternative