An API key is already bound to one (org_id, project_id) server-side, so storing a copy locally was redundant state that can go stale. Verified live that add, get_all and feedback all succeed with no ids in the body at all. - both ids are now purely an OVERRIDE, for pointing one key at a different project in the same org; half an override is ignored rather than half-applied - identity resolution no longer persists scope as a side effect - the project-config endpoints (the only ones needing ids in the URL) resolve them from /v1/ping/ and cache the result - corrects an over-generalized finding: feedback does not require the ids; it 404'd earlier only because that memory lived outside the key's project - onboarding now recommends a key issued for a dedicated project over an override Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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The Mem0 platform contract, as verified
Everything here was executed against the live API on 2026-07-28 in an isolated scratch project. Where this document and the published docs disagree, this document is right — each disagreement is marked and was reproduced.
Four rules that apply to every call
1. Scope is the API key's job; body ids are only an override
An API key is bound to exactly one (org_id, project_id) pair server-side. Send nothing and
every call resolves correctly — verified live: add, get_all and feedback all return 200
with no ids anywhere. Do not require them in client config; that is redundant state that
can go stale.
They exist for one purpose: pointing a key at a different project in the same org. When you do that, both ids must travel in the body — as query params they are silently ignored:
body = {..., "project_id": "proj_...", "org_id": "org_..."} # overrides the key
params = {"project_id": "proj_..."} # SILENTLY IGNORED
Two probe writes, one routed each way, landed in two different projects. Half an override (one id without the other) is treated as no override.
The only endpoints that genuinely need the ids are the project-configuration ones, which
carry both in the URL path. They resolve them from GET /v1/ping/ and cache the result, so
nothing has to be configured locally.
2. Every read passes latest_only=True
When a fact is contradicted, the platform stores a new memory and supersedes the old one — but both are returned unless you ask for the latest only.
get_all(...) -> ["deploys on Fly.io", "moved off Fly.io to Railway"]
get_all(..., latest_only=True) -> ["moved off Fly.io to Railway"]
Serving both is exactly the "relitigated decisions" failure this product exists to fix.
Works identically on search. Api.get_all/search default it to True.
3. Type lives in metadata.type, not categories
Categorization is a background job, measured against 10 days of production data:
| Memory age | Categorized |
|---|---|
| < 1 hour | 0% (0 of 22) |
| 6–24 hours | 100% |
| 1–3 days | 95.1% |
| > 3 days | 92.8% |
Median write→categorize lag 3.9 hours, p90 ≈ 72 hours, and ~5–7% never get categorized.
So a morning session's learnings would be invisible to an afternoon context pack if reads
filtered on categories.
Verified fix: stamp metadata.type at write time. Metadata survives infer=True extraction
intact (every extracted fact inherits the window's metadata) and is filterable within
seconds. Read recipes OR metadata with categories so fresh memories match on metadata and
older ones match either way.
4. NOT takes a list
{"NOT": [{"app_id": "*"}]} # 200
{"NOT": {"app_id": "*"}} # 400 <- the shape shown in the docs
Scoping
| Scope | Written as | Read with |
|---|---|---|
| user (preferences) | user_id, no app_id |
{"AND":[{"user_id":u},{"NOT":[{"app_id":"*"}]}]} |
| project (everything else) | user_id + app_id |
{"AND":[{"user_id":u},{"app_id":a}]} |
| session | metadata.session_id |
metadata equality filter |
Documented "implicit null scoping" does not hold. {"user_id": u} alone returns
project-scoped records too, so user-scope reads need the explicit NOT clause. Verified:
without it a user-scope query returned 2 records (one of them project-scoped); with it, 1.
Never use run_id or agent_id. Records carry exactly one primary entity, so a
cross-entity AND matches nothing. v1 wrote every session summary with run_id while no
read path filtered by it — its highest-volume write path was unretrievable.
app_id is the git-remote slug (owner-repo), stable across clones and worktrees.
Identity comes from GET /v1/ping/ → user_email, org_id, project_id.
Writes
add(infer=True)is fire-and-forget: the response is{event_id, status: "PENDING"}with no memory IDs. Extraction landed in 20s–5min across runs. Never read-after-write inside a session; capture happens at boundaries and reads at the next session start.add(infer=False)(direct import) is immediate — and stores assistant-role messages too, contrary to the docs which say only user-role messages are kept. Writesession_stateas a single user-role message rather than relying on role filtering.infer=Truededuplicates: the same fact sent twice yields one record.metadataon the add call propagates to every fact extracted from that window.
Lifecycle
expiration_date(YYYY-MM-DD, UTC, inclusive) hides a memory fromget_allandsearch;get(memory_id)still returns it;show_expired=Truereveals it; setting it toNonerestores visibility. Nothing is deleted.decay=True(project-level) biases ranking by recency-of-use (0.3×–1.5×) and reinforces a memory each time it is retrieved. Never filters.- Deletes are soft. Rows persist with
is_deleted=trueand vanish from all reads.delete_allalso renames the entity (<user>_deleted_<timestamp>). Migration tooling must verify through the API's own reads, not by expecting rows to disappear.
Endpoint quirks
| Call | Quirk |
|---|---|
DELETE /v1/memories/ |
Takes query params; a body returns 400 "at least one filter required" |
GET .../projects/<id>/ |
fields must be repeated params (?fields=a&fields=b), not comma-joined |
POST /v1/feedback/ |
404s when the memory is in a project the key is not bound to and no override is sent; fine unpinned otherwise |
POST /v3/memories/ |
This is get_all; page/page_size are query params, filters go in the body |
Metadata schema
{
"type": "preference|decision|convention|insight|runbook|session_state",
"session_id": "…",
"branch": "…",
"editor": "claude-code",
"policy": "v2.0",
"pinned": true
}
type is authoritative at read time. policy records which gate revision produced the
memory, so a quality regression can be traced to a config change. pinned is the only pin
mechanism — update does accept metadata (v1's [PINNED] text-prefix hack was based on a
stale assumption, and its consolidation step never honored it anyway).
What the write gate catches, and what it cannot
Fed the actual v1 pollution, the custom instructions suppress: training heartbeats, progress/ETA spam, file-modification lists, session-only narration, and one-off task directives.
The one class instructions cannot filter is repository file content. A CLAUDE.md excerpt of coding standards was extracted as three preferences, because provenance is invisible to the extractor and that text is indistinguishable from a genuine project convention — which must stay extractable. Client-side omission is the only enforcement, and it is why v1's auto-import feature is retired outright.