Migrating from Mem0: A Practical Checklist

Migrating from mem0 takes an afternoon when you work in order: new project and key, new base URL, endpoint checks, then history import. This checklist maps each step to Audaxic's mem0-like API so you can prove the switch worked before you touch old billing.

When migrating from mem0 makes sense

Migrating from mem0 makes sense when your bill is hard to predict or your agents need one shared layer instead of per-tool storage. Audaxic Memory is a shared memory layer across all your coding agents — Claude Code, Codex, OpenCode, Cursor, Windsurf, and any MCP client — with one memory per project, so switching agents never resets context.

Price is the usual trigger. As of August 2026, mem0 lists Starter at $19/month for 50,000 adds and 5,000 searches, Growth at $79/month for 200,000 adds and 20,000 searches, and Pro at $249/month for 500,000 adds and 50,000 searches. Audaxic provides matching quotas at $12, $50, and $125 — up to 50% cheaper — with flat billing instead of per-request overages.

Flat means no per-token fees and no overages. Your busiest month costs the same as a quiet one inside the same tier. The full side-by-side is in Mem0 Alternative: Cheaper Memory Layer for Coding Agents and the four-way comparison with SuperMemory and Zep.

The second trigger is workflow. If you run two or more agents against one repo, per-agent history forces you to re-explain conventions, past decisions, and gotchas in every tool. A single project memory that every agent reads and writes removes that repetition. Graph memory is included on all plans from Hobby through Enterprise, and every plan includes unlimited projects.

Start on Hobby if you want a zero-risk trial. It costs $0/month, needs no credit card, and includes 10,000 adds, 1,000 retrieves, unlimited projects, and graph memory. You can run the whole checklist below on Hobby, then pick the paid tier whose quotas cover your measured extraction volume.

Endpoint mapping: mem0 to Audaxic

Audaxic exposes a mem0-like API: the operations feel familiar — add, search, list, update, delete — but the request shapes are Audaxic's own. Do not assume field-for-field compatibility. Verify every call against the docs before you change production code.

The data plane lives at https://api.memory.audaxic.com. The management plane, which handles projects and keys, lives at https://memory-api.audaxic.com. Data-plane calls authenticate with an ak_... project key. Management-plane calls use an at_... workspace auth token with scopes such as projects:read, projects:write, keys:read, and keys:write.

Two counting rules affect your migration test plan. An add request is counted per memory extracted from a message batch: one /add call that extracts 5 memories counts as 5 add requests. Retrieve requests use tiered counting: the first 10 memories retrieved count as 1 request, and each additional 10 counts as 1 more, so 25 memories count as 3 requests.

Versioning is explicit. Send the date-based X-Api-Version header with the current version 2026-09-25, as described in the API versioning docs. Pinning the version keeps the migration reproducible: if the API evolves, your client keeps talking to the shape you tested.

Keep the quickstart open while you map fields. It shows the canonical request bodies your old mem0 calls must become.

Create the project, then switch the base URL and key

Do the migration in this order: new project and key first, code change second, verification third. Creating the destination before you touch code means you can test without disturbing the running mem0 integration.

Step 1 is the project. Sign in to the dashboard and create one project per repo — that scoping keeps each codebase's conventions, decisions, and gotchas separate. Generate an ak_... project key for that project and store it as a secret, not in source control. If your team groups work into workspaces, keep the workspace layout you already use; data stays isolated per organization with namespace-scoped vector search.

Give each agent its own key for the same project rather than sharing one key across services. If a CI runner leaks a key, you rotate that key without touching local setups. Servers are located in the US and EU, and Audaxic never trains on customer data.

Step 2 is the code change. Point your memory client at the new base URL and swap the credential:

# old values
# MEMORY_BASE_URL=https://your-mem0-endpoint
# MEMORY_API_KEY=your-mem0-key

# new values
export MEMORY_BASE_URL="https://api.memory.audaxic.com"
export MEMORY_API_KEY="ak_..."

If your client wraps mem0's SDK, replace that wrapper's host and key inputs rather than patching call sites one by one. One place owns the base URL, one place owns the key, and every add, search, list, update, and delete call flows through them. Add the version header in the same wrapper so every request carries X-Api-Version: 2026-09-25.

import os
import requests

BASE_URL = os.environ["MEMORY_BASE_URL"]  # https://api.memory.audaxic.com
HEADERS = {
    "Authorization": f"Bearer {os.environ['MEMORY_API_KEY']}",
    "X-Api-Version": "2026-09-25",
    "Content-Type": "application/json",
}

# smoke test: list the first page of the new (empty) project
resp = requests.get(f"{BASE_URL}/list", headers=HEADERS, params={"limit": 10, "offset": 0})
resp.raise_for_status()
print(resp.json())

Migrating from mem0 in code is two edits — host and credential — plus field-level checks for each endpoint body. Keep the old key until verification passes so you can roll back by flipping the environment variables.

Verify add, search, list, update, and delete

Verify each operation against the new project before you move history. An empty project is the right starting point: anything you list or search afterward is something your test wrote.

Write one memory with POST /add, then read it back two ways. Search for it with POST /search using the distinctive phrase you stored, and page through the project with GET /list using limit and offset. The list endpoint reference documents the pagination parameters your migration script will reuse during the history move.

# add a canary memory
curl -s -X POST "$MEMORY_BASE_URL/add" \
  -H "Authorization: Bearer $MEMORY_API_KEY" \
  -H "X-Api-Version: 2026-09-25" \
  -H "Content-Type: application/json" \
  -d '{"messages": [{"role": "user", "content": "migration canary: repo uses pnpm and vitest"}]}'

# search for it
curl -s -X POST "$MEMORY_BASE_URL/search" \
  -H "Authorization: Bearer $MEMORY_API_KEY" \
  -H "X-Api-Version: 2026-09-25" \
  -H "Content-Type: application/json" \
  -d '{"query": "migration canary package manager"}'

# list the first page
curl -s "$MEMORY_BASE_URL/list?limit=10&offset=0" \
  -H "Authorization: Bearer $MEMORY_API_KEY" \
  -H "X-Api-Version: 2026-09-25"

Next, update the canary with PUT /update and confirm the search reflects the new text. Then delete it with DELETE /delete/{memory_id} and confirm both search and list no longer return it. This five-call sequence — add, search, list, update, delete — exercises every endpoint in the mapping table against your actual key, headers, and network path.

Watch the counting while you test. That canary /add call may extract one memory or several, and each extracted memory counts separately. Searches returning up to 10 memories count as 1 retrieve request. The verification run doubles as a first measurement of your extraction volume.

If a call fails, check three things in order: the base URL is the data plane (https://api.memory.audaxic.com), the key is an ak_... project key rather than an at_... management token, and the X-Api-Version header is present. Failed-authentication protection rate-limits repeated bad keys — 100 failed attempts per 4 hours per IP — so fix the credential rather than retrying in a loop.

Move existing memories and run the post-migration checklist

Move history with a generic export-then-re-add path. Export the memories you want to keep from mem0 — text, any user or session labels you use, and timestamps if you have them — into a local file. Then loop over that file and send each entry to Audaxic with POST /add. There is no automatic mem0 export tool to rely on; the file in the middle is intentional because it lets you filter before you pay to store.

Filter aggressively. Old sessions accumulate duplicates, superseded decisions, and one-off debugging notes that should not become long-term memory. Keep conventions, project decisions, constraints, and recurring gotchas. Drop chatty acknowledgments, duplicate facts, and anything tied to code that no longer exists. A smaller, current memory set retrieves better than a large archive.

Batch the import in small pages and re-list as you go. Because GET /list is paginated with limit and offset, the same pattern drives both the import loop and the audit after it:

# sketch: re-add exported memories in batches of 50
import json

with open("mem0-export.json") as f:
    memories = json.load(f)  # [{"text": "...", ...}, ...]

kept = [m for m in memories if m.get("text", "").strip()]
print(f"exported={len(memories)} kept={len(kept)}")

for i in range(0, len(kept), 50):
    batch = kept[i:i+50]
    print(f"batch {i//50 + 1}: {len(batch)} memories to /add")
    # POST each entry to /add here, then GET /list to confirm the count grew

Remember that a bulk import month counts like any other usage. If the export holds 30,000 memories, the import month needs a tier whose adds quota covers your normal traffic plus those 30,000. Plan the tier for the import month, then drop back if normal months are quieter.

Finish with the post-migration checklist. Migrating from mem0 is done when every box below holds:

1. Base URL and key switched in one wrapper, with X-Api-Version: 2026-09-25 on every request.
2. Add, search, list, update, and delete each verified against the new project.
3. Export file reviewed, filtered, and fully re-added; GET /list count matches the kept set.
4. Agents reconnected to the same project key so Claude Code, Codex, OpenCode, and MCP clients share one memory.
5. Old mem0 key rotated or revoked and billing on the old account downgraded or closed.
6. Quota check: measured adds and tiered retrieves fit the chosen tier — Hobby at $0, Starter at $12, Growth at $50, Pro at $125, or Enterprise at $260 — with headroom for the next month.
7. One teammate runs a fresh search for a known convention and confirms recall without being told where it is stored.

Keep the export file for one billing cycle after the switch. If a memory turns out to be missing or wrong, PUT /update fixes the text and DELETE /delete/{memory_id} removes it without a second migration. After that cycle, delete the export so the project memory is the single source of truth.

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Written by Efe — Oct 09, 2026 · More articles · X @AudaxicTech