feat(skills): add mem0-integrate + mem0-test-integration pipeline skills (#4961)

This commit is contained in:
Saket Aryan
2026-05-05 18:52:22 +05:30
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@@ -27,7 +27,7 @@ This is a **polyglot monorepo** containing Python and TypeScript packages, CLIs,
| `server/` | FastAPI REST server for self-hosted Mem0 (Docker: FastAPI + PostgreSQL/pgvector + Neo4j) |
| `openmemory/` | Self-hosted memory platform — `api/` (FastAPI + Alembic + MCP server) and `ui/` (Next.js 15 + React 19) |
| `mem0-plugin/` | AI editor plugins (Claude Code, Cursor, Codex) — MCP server connection, lifecycle hooks, skills |
| `skills/` | Claude Code skill definitions — `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/` |
| `skills/` | Claude Code skill definitions. Reference skills (SDK knowledge, always-on): `mem0/`, `mem0-cli/`, `mem0-vercel-ai-sdk/`. Pipeline skills (run on demand): `mem0-integrate/`, `mem0-test-integration/` |
| `docs/` | Documentation site (Mintlify) |
| `tests/` | Python SDK tests (pytest) |
| `evaluation/` | Benchmarking framework — LOCOMO evals, experiment runner, score generation |
@@ -387,7 +387,9 @@ Model Context Protocol support in multiple places:
### Plugin & Skills System
- `mem0-plugin/` provides integrations for Claude Code, Cursor, and Codex via MCP server connections and lifecycle hooks for automatic memory capture.
- `skills/` contains structured skill definitions for AI agents, covering SDK usage, CLI workflows, and Vercel AI SDK patterns.
- `skills/` contains structured skill definitions for AI agents, split into two categories:
- **Reference skills** (always-on SDK knowledge): `mem0` (Python + TS SDKs, framework integrations), `mem0-cli` (terminal workflows), `mem0-vercel-ai-sdk` (Vercel AI provider).
- **Pipeline skills** (run on demand): `mem0-integrate` wires Mem0 into an existing repo via a TDD pipeline; `mem0-test-integration` verifies what the integrator produced on the same branch. The two are loosely coupled via `.mem0-integration/` artifacts.
### Adding a New Provider
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@@ -147,6 +147,27 @@ mem0 search "What does Alice prefer?" --user-id alice
See the [CLI documentation](https://docs.mem0.ai/platform/cli) for the full command reference.
### Agent Skills
Teach your AI coding assistant (Claude Code, Codex, Cursor, Windsurf, OpenCode, OpenClaw, and any tool that supports the skills standard) how to build with Mem0. Two categories:
**Reference skills — always on** (SDK knowledge loaded into the assistant's context):
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0
npx skills add https://github.com/mem0ai/mem0 --skill mem0-cli
npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdk
```
**Pipeline skills — run on demand** (execute an end-to-end workflow in an existing repo):
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
```
Use `/mem0-integrate` to wire Mem0 into an existing repo via a test-first pipeline, then `/mem0-test-integration` to verify. See the [skills catalog](./skills/) or [Vibecoding with Mem0](https://docs.mem0.ai/vibecoding) for the full picture.
### Basic Usage
Mem0 requires an LLM to function, with `gpt-5-mini` from OpenAI as the default. However, it supports a variety of LLMs; for details, refer to our [Supported LLMs documentation](https://docs.mem0.ai/components/llms/overview).
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## Agent Skills
Teach your coding assistant how to build with Mem0:
Mem0 ships two kinds of skills for AI coding assistants. Both work with Claude Code, Codex, Cursor, Windsurf, OpenCode, OpenClaw, and any assistant that supports the skills standard.
### Reference skills — always on
Teach your assistant Mem0's SDK surface so it writes correct code in everyday development:
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0
npx skills add https://github.com/mem0ai/mem0 --skill mem0-cli
npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdk
```
Works with Claude Code, Cursor, Windsurf, and any assistant that supports skills. Once installed, your assistant understands Mem0's full API, framework integrations, and common patterns.
- `mem0` — Python and TypeScript SDKs (Platform + OSS), plus framework integrations (LangChain, CrewAI, OpenAI Agents, LangGraph, LlamaIndex, etc.)
- `mem0-cli` — terminal workflows for the `mem0` CLI (both Node and Python builds)
- `mem0-vercel-ai-sdk` — `@mem0/vercel-ai-provider` and `createMem0`
### Pipeline skills — run on demand
Let your assistant execute an end-to-end workflow in an existing repo. Invoked as slash commands:
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
```
- `/mem0-integrate` — wire Mem0 into an existing repository using a goal-driven, test-first pipeline. Detects the stack, asks whether to use Platform or OSS, writes failing tests first, and keeps the integration additive and feature-flagged.
- `/mem0-test-integration` — verify what `/mem0-integrate` produced. Runs the repo's native test suite and a real end-to-end smoke flow against your API key, then produces a scorecard.
See the [skills index](https://github.com/mem0ai/mem0/tree/main/skills) for the full catalog.
## MCP Server Setup
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# Mem0 Skills for AI Coding Assistants
Mem0 ships structured skill definitions for Claude Code, Codex, Cursor, OpenCode, OpenClaw, and any assistant that supports the [skills standard](https://github.com/anthropic-experimental/skills). Skills teach the assistant how to work with Mem0 — either by loading SDK knowledge into context, or by executing an end-to-end workflow on demand.
## Two Categories
### Reference skills — always on
Installed once, loaded into context so the assistant writes correct Mem0 code. Use these for day-to-day development.
| Skill | Surface | Install |
|-------|---------|---------|
| [`mem0`](./mem0/) | Python + TypeScript SDKs (Platform + OSS), framework integrations | `npx skills add https://github.com/mem0ai/mem0 --skill mem0` |
| [`mem0-cli`](./mem0-cli/) | Terminal workflows (`mem0` CLI, both Node and Python) | `npx skills add https://github.com/mem0ai/mem0 --skill mem0-cli` |
| [`mem0-vercel-ai-sdk`](./mem0-vercel-ai-sdk/) | `@mem0/vercel-ai-provider` and `createMem0` | `npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdk` |
### Pipeline skills — run on demand
Invoked as a slash command to execute a specific end-to-end workflow. These do real work: they create branches, write tests, run code.
| Skill | Trigger | Install |
|-------|---------|---------|
| [`mem0-integrate`](./mem0-integrate/) | `/mem0-integrate` — wire Mem0 into an existing repo via TDD | `npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate` |
| [`mem0-test-integration`](./mem0-test-integration/) | `/mem0-test-integration` — verify what `/mem0-integrate` produced | `npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration` |
The two pipeline skills are designed to run in sequence on the same workspace:
```
/mem0-integrate → mem0-integrate/<slug> branch + .mem0-integration/ artifacts
/mem0-test-integration → scorecard (compile + runtime verification, real API smoke test)
```
## Choosing a Skill
- **Writing Mem0 code in a new or existing project?** → `mem0`
- **Using the terminal CLI?** → `mem0-cli`
- **Building with `@ai-sdk/*`?** → `mem0-vercel-ai-sdk`
- **Want the assistant to wire Mem0 into an existing repo for you?** → `mem0-integrate`, then `mem0-test-integration`
## Links
- [Vibecoding with Mem0](https://docs.mem0.ai/vibecoding) — canonical landing page
- [Claude Code integration](https://docs.mem0.ai/integrations/claude-code)
- [Mem0 Platform Dashboard](https://app.mem0.ai)
- [Mem0 Documentation](https://docs.mem0.ai)
## License
Apache-2.0
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# mem0-integrate — Pipeline Skill
Wire [Mem0](https://mem0.ai) into an existing repository end-to-end, using a goal-driven, test-first pipeline.
> **This is a pipeline skill, not a reference skill.** Invoke it as `/mem0-integrate` when you want your assistant to do the work of integrating Mem0 into a target repo. For day-to-day SDK coding help, install [`mem0`](../mem0/SKILL.md) instead.
>
> **Part of the Mem0 Skill Graph:**
> - Reference: [mem0](../mem0/SKILL.md) · [mem0-cli](../mem0-cli/SKILL.md) · [mem0-vercel-ai-sdk](../mem0-vercel-ai-sdk/SKILL.md)
> - Pipeline: **mem0-integrate** (this skill) → [mem0-test-integration](../mem0-test-integration/SKILL.md)
## What This Skill Does
When invoked, your assistant will:
- **Detect** the target repo's language and stack automatically
- **Ask** whether to integrate with Mem0 Platform (managed) or Mem0 Open Source (self-hosted)
- **Write failing tests first** — no implementation until tests exist
- **Keep the integration additive and feature-flagged** — existing behavior stays byte-for-byte identical when the flag is unset
- **Produce a local feature branch** (`mem0-integrate/...`) and a `.mem0-integration/` directory of artifacts (`goal.md`, `plan.md`, `product.json`) consumed by the companion verification skill
## When to Use
Trigger phrases:
- "Integrate Mem0 into this repo"
- "Add Mem0 to my project"
- "Wire Mem0 into `<repo>`"
- "How do I add memory to an existing project?"
Do **not** use this skill for general SDK usage (install [`mem0`](../mem0/SKILL.md)), terminal workflows (install [`mem0-cli`](../mem0-cli/SKILL.md)), or Vercel AI SDK integration (install [`mem0-vercel-ai-sdk`](../mem0-vercel-ai-sdk/SKILL.md)).
## Installation
### CLI (Claude Code, Codex, OpenCode, OpenClaw, or any tool that supports skills)
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
```
For verification on the same branch, also install the companion skill:
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
```
### Claude.ai
1. Download this `skills/mem0-integrate` folder as a ZIP
2. Go to **Settings > Capabilities > Skills**
3. Click **Upload skill** and select the ZIP
### Claude API (Skills API)
```bash
curl -X POST https://api.anthropic.com/v1/skills \
-H "x-api-key: $ANTHROPIC_API_KEY" \
-H "Content-Type: application/json" \
-d '{"name": "mem0-integrate", "source": "https://github.com/mem0ai/mem0/tree/main/skills/mem0-integrate"}'
```
### Prerequisites
- A Mem0 Platform API key ([get one](https://app.mem0.ai/dashboard/api-keys)) *or* a working OSS setup (LLM + vector store)
- Python 3.10+ or Node.js 18+ in the target repo
- A clean working tree on the target repo's default branch
## Workflow
```
/mem0-integrate → creates mem0-integrate/<slug> branch,
writes .mem0-integration/ artifacts,
implements against failing tests
/mem0-test-integration → runs the repo's native test suite,
executes a real end-to-end smoke flow,
produces a scorecard
```
The two skills are loosely coupled — they share the same workspace and branch via `.mem0-integration/`, but the verifier never modifies source.
## Links
- [Mem0 Platform Dashboard](https://app.mem0.ai)
- [Mem0 Documentation](https://docs.mem0.ai)
- [Mem0 GitHub](https://github.com/mem0ai/mem0)
- [Platform vs OSS comparison](https://docs.mem0.ai/platform/platform-vs-oss)
## License
Apache-2.0
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---
name: mem0-integrate
description: >
Integrate Mem0 into an existing repository using a goal-driven, TDD pipeline.
Detects the repo's language automatically and asks the user to pick between
Mem0 Platform (managed) and Mem0 Open Source (self-hosted). Writes failing
tests before any implementation. Produces a local feature branch plus
`.mem0-integration/` artifacts consumed by the paired verification skill.
TRIGGER when: user says "integrate mem0", "add mem0 to this repo", "wire
mem0 into <repo>", or asks how to add memory to an existing project.
DO NOT TRIGGER when: the user wants general SDK usage (use skill:mem0),
CLI usage (use skill:mem0-cli), or Vercel AI SDK (use skill:mem0-vercel-ai-sdk).
After success, invoke skill:mem0-test-integration to verify in the same
workspace (loose coupling).
license: Apache-2.0
metadata:
author: mem0ai
version: "0.1.0"
category: ai-memory
tags: "memory, integration, tdd, platform, oss"
mem0_tested_versions: "mem0ai (PyPI) >=2.0.0,<3.0.0; mem0ai (npm) >=3.0.0,<4.0.0"
---
# mem0-integrate
Wire Mem0 into an existing repo with a goal-driven, test-first pipeline.
Pairs with `mem0-test-integration` for verification.
## Canonical sources (fetch before deciding anything)
The skill MUST `WebFetch` these URLs before step 3 and cite them in
`plan.md`. They are the ground truth — do not rely on ambient knowledge
of the Mem0 API.
### Agent-ready docs
- Scope-tagged docs index: https://docs.mem0.ai/llms.txt
- Full docs (single file, deep dives): https://docs.mem0.ai/llms-full.txt
- OpenAPI spec (Platform REST, machine-readable): https://docs.mem0.ai/openapi.json
- Hosted MCP server: https://mcp.mem0.ai (requires Platform API key)
- Integrations index: https://docs.mem0.ai/integrations
### Published Mem0 skills — delegate; do not reimplement
Prefer these over writing your own call-site patterns. Each is a
standalone `SKILL.md` with triggers, examples, and version-pinned code.
- SDK (Python + TS, Platform + OSS): https://raw.githubusercontent.com/mem0ai/mem0/main/skills/mem0/SKILL.md
- CLI: https://raw.githubusercontent.com/mem0ai/mem0/main/skills/mem0-cli/SKILL.md
- Vercel AI SDK: https://raw.githubusercontent.com/mem0ai/mem0/main/skills/mem0-vercel-ai-sdk/SKILL.md
- Editor/MCP plugin glue (9 MCP tools): https://github.com/mem0ai/mem0/tree/main/mem0-plugin
### SDK source (read when docs are ambiguous)
Public repo. Cross-check against the `mem0_tested_versions` range in this
skill's frontmatter if the `main` branch has moved past a major.
- Repo root: https://github.com/mem0ai/mem0
- Python SDK: https://github.com/mem0ai/mem0/tree/main/mem0
- TypeScript SDK: https://github.com/mem0ai/mem0/tree/main/mem0-ts
### Quickstarts (for bootstrapping unfamiliar stacks)
- Platform: https://docs.mem0.ai/platform/quickstart
- OSS Python: https://docs.mem0.ai/open-source/python-quickstart
- OSS Node: https://docs.mem0.ai/open-source/node-quickstart
- Platform vs OSS comparison: https://docs.mem0.ai/platform/platform-vs-oss
## Integration principles (non-negotiable)
The true goal of this skill is to produce a **PR the maintainers can accept
without argument**. That rules out anything invasive.
1. **Additive, not replacing.** If the target repo already has a memory
system, a session store, a user-context layer, or anything named
`Memory` / `memory_*`, Mem0 sits **alongside** it, not in place of it.
The existing system keeps working unchanged.
2. **Opt-in by default.** Gate all new Mem0 code behind a feature flag
(env var like `MEM0_ENABLED=1`, a config key, or a strategy selector).
With the flag unset, behavior is the repo's original behavior,
byte-for-byte.
3. **No breakage.** No removed exports, no renamed public functions,
no changed method signatures, no modified existing tests, no changed
behavior of existing tests. All pre-existing tests must pass unchanged
both with the flag set and unset.
4. **Minimal dependency surface.** Add `mem0ai` (plus any deps the
delegated skill requires) and nothing else. No new vector stores, no
graph databases, no provider SDKs the repo does not already use.
5. **Separable commits.** Code, tests, and config/docs land in separate
commits so reviewers can cherry-pick.
6. **The null hypothesis wins.** If no additive, gated fit exists after
step 6 (plan), exit with code 1 and a rationale. A bad PR is worse
than no PR.
7. **Backend only.** Mem0 integration lives in server-side code. API keys,
memory scope, and user-identity resolution are not safe client-side.
If the repo has both backend and frontend, the call sites live in
backend files. Frontend-only repos are rejected at preconditions.
Enforced at four gates: **preconditions** (reject frontend-only repos
and repos where additive fit is impossible), **step 2 comprehension**
(confirm a backend exists and name candidate surfaces), **step 6 plan
review** (reject plans that mutate existing exports or name client-side
call sites), and **step 10 self-healing loop** (refuse to "fix" principle
violations — surface them instead).
## Skill delegation rules
Before writing any code, check whether a published skill already covers
the target stack. If yes, delegate — copy its call-site pattern into
`plan.md` and into the tests; do not paraphrase.
| Detected in target repo | Delegate to | Why |
|---|---|---|
| `@ai-sdk/*` + `ai` in `package.json` | `skills/mem0-vercel-ai-sdk` | Integration is via `createMem0` provider wrapper, not raw `MemoryClient`. |
| CLI-only repo (Typer, Commander, Click, Cobra) with no LLM call sites | `skills/mem0-cli` | Call sites are command handlers, not model wrappers. Consider whether mem0 actually fits first. |
| Target is an MCP client / editor config (Claude Code, Cursor, Codex settings) | `mem0-plugin` | Wire via MCP server URL + hooks; no SDK code usually needed. |
| Any other Python or TS repo with an LLM call site | `skills/mem0` | Default SDK integration path. |
Record the delegated skill's raw URL in `plan.md` under a
**"Delegated skill:"** field. The test writer in step 7 and the
implementation subagent in step 8 both read this field.
## Preconditions
Refuse to start unless ALL of the following are true:
- Current working directory is inside a git repository with a clean index
(no uncommitted changes). Protects the user's work — every edit lands on
a feature branch, not on top of in-progress changes.
- Repo has a detectable language (`package.json` / `pyproject.toml` /
`requirements.txt`). No language → exit cleanly with a written rationale.
- Repo has a **backend**. Detected by: a `backend/` or `server/` or `api/`
directory; a Python package with FastAPI/Flask/Django/Starlette; a Node
package with Express/Fastify/Koa/NestJS/Next-API-routes; an agent-loop
framework (LangGraph, LangChain, LlamaIndex, Agno). Frontend-only repos
(pure React/Vue/Svelte SPAs, static sites, mobile-only) → exit with
code 1 and a rationale. Mem0 is not installed client-side.
- The user has already decided Mem0 fits this repo. This skill does NOT
survey the codebase to justify fit — bring a concrete goal. (Step 2
*does* read the repo to understand what it does and locate backend
integration surfaces; that is mechanics, not fit-justification.)
Exit with a written rationale if any precondition fails. Do not try to
"make it work anyway."
## Pipeline
### 1. Language detection
| Signal | Track |
|---|---|
| `package.json` + TypeScript config | Node / TypeScript |
| `package.json` (no TS config) | Node / JavaScript |
| `pyproject.toml` or `requirements.txt` | Python |
Monorepo with both → ask which subdirectory to operate in, then recurse.
### 2. Repo comprehension — what does this repo do, and where is the backend?
Before any decision (product, goal, plan), understand the repo enough
to locate *where in the backend* the integration belongs. This is not
fit-surveying — the user already decided Mem0 fits. This is mechanics:
you cannot write a plan without knowing what files matter.
Read, in order, with a token budget — do not scan the whole tree:
1. `README.md` (root) + first-page of any `README_*.md` variants.
2. `CONTRIBUTING.md` / `AGENTS.md` / `CLAUDE.md` at root if present —
these often spell out architecture and entry points.
3. `package.json` / `pyproject.toml` scripts + entry points.
4. The layout of the top two directory levels (not recursive).
5. Key config files: `docker-compose.yml`, `Dockerfile`, `Makefile`,
`langgraph.json`, `next.config.*`, `nuxt.config.*`.
Produce `.mem0-integration/repo-summary.md`:
# Repo comprehension
**What this repo does:** <one paragraph in plain English. Who is
the end user? What does the app do for them? What LLM / agent
behavior is central? Do not list dependencies — describe behavior.>
**Architecture at a glance:**
- Backend: <path(s), framework, primary entry point>
- Frontend: <path(s) if any, framework — for context only; no
integration here>
- Agent loop / orchestration: <LangGraph? custom? none?>
- Existing memory/session/state systems: <name them — these are
what step 6 Coexistence must preserve>
**Candidate backend integration surfaces** (ranked, best first):
1. `<backend-file>:<line_range>` — <function> — <one-sentence
reason this is where write/read could slot in without
replacing anything existing>
2. ...
3. ...
**Not a fit here:** <list anything the skill considered but ruled
out — e.g., "frontend chat component: client-side, excluded by
backend-only rule"; "existing memory subsystem X: would require
replacement, excluded by additive principle">
**Sources read:** <list the files actually opened, with line counts,
so reviewers can verify coverage.>
Show the user the rendered summary and ask: *"Is this understanding
correct? Which of the candidate surfaces (1, 2, 3 ...) should step 3
forward target?"*
Gate rules:
- If no backend surface is found → exit code 1. The preconditions
should already have caught frontend-only repos; reaching this point
means a more subtle miss (e.g., the "backend" is actually just a
static build). Do not force a fit.
- If every candidate surface would require replacing an existing
memory/session system → exit code 1 with the "additive principle"
rationale. The user can manually point at a non-conflicting location
and re-run.
- User corrections update `repo-summary.md` and re-confirm. Max 3
rounds; beyond that, exit code 1.
The user's chosen surface index is baked into `product.json` as
`preferred_site` and referenced by steps 5 and 6.
### 3. Product selection — Platform vs OSS (ask with a recommendation)
Read the `## Identify the User's Setup` block in
`https://docs.mem0.ai/llms.txt` for the Platform-first routing rules, then
apply the heuristics below. Ask, but never blank:
- Other managed-service SDKs present (`@clerk/*`, `stripe`, `@supabase/*`,
`openai`, `@upstash/*`, `posthog-*`) — 3+ → recommend **Platform**.
- Local-infra signals (`docker-compose.yml` with postgres / redis / qdrant /
neo4j, ollama configs, self-hosted auth) — 2+ → recommend **OSS**.
- No strong signal → default recommendation: **Platform** (lower integration
cost; migration later is supported).
Example:
> I see `stripe`, `@clerk/nextjs`, and `@supabase/supabase-js` — managed
> services throughout. I recommend **Mem0 Platform** (4-line integration).
> Override and use open source?
Bake the choice into the goal doc in step 5. Do not re-decide later.
### 4. API key check (env-first, then ask)
| Track | Key | Where to find |
|---|---|---|
| Platform | `MEM0_API_KEY` | https://app.mem0.ai |
| OSS (default LLM) | `OPENAI_API_KEY` | https://platform.openai.com/api-keys |
If present in env → continue.
If missing → **interactive mode** asks; **CI mode** (`MEM0_INTEGRATE_CI=1`)
exits with code 2 and the name of the missing key.
Never echo key values into `trace.jsonl`. Persist to `.env` only with
explicit user consent, and append `.env` to `.gitignore` if not already there.
If the user is on OSS and wants a non-OpenAI LLM, route them to the
`components/llms/*` docs and re-run this step with the chosen provider's key.
### 5. Goal doc — the hard gate
Write `.mem0-integration/goal.md` and **require user approval before step 6**.
Template:
# Mem0 Integration Goal
**What gets stored:** <one sentence — user utterances? extracted
preferences? a specific domain fact like "dietary restrictions"?>
**When it gets retrieved:** <one sentence — on each user turn? before a
specific tool call? at session start?>
**Why:** <one sentence — the user-visible behavior change. "Assistant
remembers previous orders across sessions," not "we added memory.">
**Product:** Platform | OSS (locked from step 3, do not change)
**Delegated skill:** <raw URL of the published skill being used
from "Skill delegation rules" above, or "none — custom integration
against `skills/mem0`">.
**Out of scope:** <anything explicitly excluded: "no graph memory,"
"no multimodal," "no migration from existing store">
Rules:
- User must approve explicitly. If they edit the doc, reload and re-confirm.
- `goal.md` is the contract the test suite is written against. Never
rewrite it after step 6 starts.
- Max 3 rejection rounds. On the 4th, exit with code 3 and the rejection
notes — the integration is not well-specified enough to proceed.
### 6. Integration plan — how and where (hard gate)
Given `goal.md` is "what and why," this step produces "where and how" and
gets explicit user sign-off before any code is written.
The skill does a **scoped** read of the repo (no wide survey):
- Grep for the LLM call sites that match the goal (e.g., `openai.chat.`,
`anthropic.messages.`, `model.generateContent`, `ChatOpenAI`, `createLLM`).
- Grep for the user-identity source (`req.user`, `session.user`, `auth()`,
`ctx.userId`, cookies).
- Check `package.json` / `pyproject.toml` / `requirements.txt` for
conflicts (e.g., existing `mem0ai` at a different version).
Then write `.mem0-integration/plan.md`:
# Mem0 Integration Plan
**Write pattern:** <one sentence — e.g., "After each assistant reply,
call client.add([user_msg, assistant_msg], user_id=<source>).">
**Read pattern:** <one sentence — e.g., "Before building the LLM prompt,
call client.search(query=latest_user_msg, user_id=<source>, limit=5)
and inject results as a system message.">
**User identifier source:** <code path — e.g., `req.auth.userId`,
`session.user.email`, `ctx.params.user_id`. If none, ask the user.>
**Session scoping:**
- user_id: <source>
- agent_id: <static slug | null>
- run_id: <source | null>
**Write call site:** `<file:line_range>` — inside `<function>`
**Read call site:** `<file:line_range>` — inside `<function>`
**Dependencies to add:**
- `<package>@<version pinned in frontmatter>`
**Preserved behavior:** <list the existing repo behaviors that must
keep working after this edit — e.g., "existing OpenAI streaming still
works," "existing Redis session store still used," "existing tests
still pass unchanged.">
**Coexistence:** <one bullet per existing system the integration sits
alongside. Name the files/classes. Example: "The existing
`agents/memory/storage.py` MemoryStorage class remains untouched and
keeps its LangGraph SummarizationEvent flow. Mem0 is added as a
parallel long-term-facts store, in a new file, invoked only when
MEM0_ENABLED=1 is set.">
**Feature flag:** <the exact mechanism and the default. Required.
Example: `env MEM0_ENABLED=1`, default unset / off; `config.mem0.enabled`,
default false. With the flag in its default state, the repo must
behave exactly like `main`.>
**Sources consulted:** <minimum 2 URLs from "Canonical sources" above
that informed this plan. At least one `docs.mem0.ai` URL and one
delegated-skill URL. Cite the specific section or heading.>
**E2E recipe:** <how the verification skill should drive the app
end-to-end. Omit only if the repo is a pure library with no runnable
entry point — in which case the E2E step will skip with a warning.>
start: <shell command to launch the app locally,
using $PORT for any network port>
ready_probe: <one of: url=<URL> status=<code> /
log="<substring to wait for>" /
sleep=<seconds, last resort>>
compose_services: <optional: whitespace-separated service
names in docker-compose.yml to start first;
use label mem0-e2e: "true" to mark them>
write_call: <command that triggers the Mem0 write path
exactly once; ≤ 60s runtime>
write_async_wait_ms: <milliseconds to wait after write_call for
async memory flush; default 0>
read_call: <command that triggers the Mem0 read path,
typically a fresh session / new request>
read_assert: <substring, regex, or jsonpath=<expr>=<value>
that MUST appear in read_call's output for
the E2E to pass. Derived from goal.md's
"What gets stored.">
**Rejected alternatives:** <briefly, 1–2 bullets — patterns the skill
considered but did not pick, and why. Helps the user decide.>
Rules:
- Show the user the proposed call sites with 10 lines of context around
each before asking for approval.
- If the skill can't find a plausible call site for either write or read,
it exits with code 5 and asks the user to name the file(s) manually
(this is the "no fit here" signal — don't guess).
- Max 3 rejection rounds on the plan. On the 4th, exit code 5 with the
last plan and the user's notes.
- If the user edits `plan.md` by hand, reload and re-confirm.
`plan.md` (not `goal.md`) is the contract the subagent implements against
in step 8.
### 7. Tests first (TDD)
Main agent writes failing tests against `goal.md` in the repo's native
test framework:
| Track | Default framework |
|---|---|
| Python | `pytest` |
| TypeScript | `vitest` if detected, else `jest` |
| JavaScript | same |
Test assertion shapes must match the **canonical signatures**:
- Platform method signatures: `https://docs.mem0.ai/openapi.json`
(request body schemas for `/v1/memories/` and `/v1/memories/search/`).
- OSS method signatures: the delegated skill named in `plan.md`
(fetched from its raw URL) or `skills/mem0/SKILL.md` as the default.
- Do not hand-roll request shapes. If the delegated skill has an
example block, lift it verbatim.
Minimum two test files (paths taken from `plan.md` call sites):
- `test_mem0_write.<ext>` — asserts `add()` is called at the Write call
site with the right payload shape (Platform messages-array vs OSS string)
and the right `user_id` source.
- `test_mem0_read.<ext>` — asserts `search()` runs before the Read call
site and the result is wired into the LLM prompt / response path.
Tests MUST be importable with `MEM0_API_KEY` unset. This is the design
pressure that forces step 8's lazy `MemoryClient()` / `Memory()`
construction — eager module-level init hits the API on import and
breaks pre-existing test collection when the key is missing.
Run the tests. They **must fail**. If they pass before any implementation,
the tests are wrong — rewrite them.
### 8. Implementation (subagent, fresh context)
Spawn a subagent with:
- **Inputs**: the repo, `goal.md`, `plan.md`, the two test files, and
direct URLs to: the delegated skill (from `plan.md`), the SDK source
(pinned per `mem0_tested_versions`), `https://docs.mem0.ai/llms.txt`,
and `https://docs.mem0.ai/openapi.json`.
- **No access** to main agent's reasoning trace or scratchpad.
- **System prompt** (verbatim):
You are implementing a Mem0 integration for an existing repo.
Read these first:
- plan.md (the mechanical contract)
- goal.md (the intent — do not change it)
- the test files (do not change them either)
- <delegated skill raw URL from plan.md>
- https://docs.mem0.ai/llms.txt
- https://docs.mem0.ai/openapi.json (Platform only)
Constraints — all required, all enforced at review:
1. Touch only the files named in plan.md's call sites, or add
strictly new files.
2. Do not remove or rename any existing symbol. Do not change
any public signature.
3. Do not modify any existing test.
4. Gate every line of new Mem0 code behind the feature flag from
plan.md. With the flag in its default state, the repo must
behave exactly like `main` — byte-for-byte, including stdout
and return values.
5. Use only the <Platform | OSS> SDK surface. No new dependencies
beyond those listed under plan.md's "Dependencies to add."
6. Preserve everything listed under plan.md's "Preserved behavior"
and "Coexistence."
7. Lazy client construction. `MemoryClient()` validates the API
key in `__init__` (it makes a network call). Never instantiate
it at module-import time — construct on first use inside the
request / handler path. The same rule applies to OSS `Memory()`,
which can eagerly initialize embedding and LLM providers. Use
a function-local singleton (`functools.lru_cache`, a module-level
`_client = None` + getter, or DI scope) — never a top-level
global. Eager init breaks the pre-existing test suite at
collection time whenever the key is missing or invalid, which
is a non-invasiveness violation.
Implement the plan to make the new tests pass while all
pre-existing tests continue to pass unchanged.
Subagent returns a diff. Main agent reviews against `plan.md` (the
mechanical contract) and `goal.md` (the intent):
- Approved → apply the diff, commit.
- Rejected → return with specific, actionable feedback (not "try again").
- Max 3 review loops. Beyond that → exit code 4 with the last diff and
reviewer feedback.
### 9. Commit + handoff
Create branch `mem0-integrate/<short-goal-slug>` and commit in
**separate commits** so reviewers can cherry-pick:
1. `mem0: add gated dependency` — just the `pyproject.toml` / `package.json`
change.
2. `mem0: add integration module` — the new file(s).
3. `mem0: wire into <call site>` — the call-site edit(s), still gated.
4. `mem0: add tests` — the new test files.
If `--no-heal` is set → print `Run /mem0-test-integration to verify.`
and exit. Otherwise proceed to step 10.
### 10. Self-healing loop (default ON; disable with `--no-heal`)
Run `/mem0-test-integration --ci` in a subprocess. If `scorecard.json`
reports `overall: pass` → done, exit 0.
Otherwise loop:
1. **Categorize the failing check** from `scorecard.json`. Route per
category:
- `install` / `static_checks` → dependency or import fix.
- `unit_tests` → wiring or assertion fix.
- `smoke_test` → API key or SDK call-shape fix.
- `e2e_test` → recipe, flag-wiring, or integration-point fix.
- **Pre-existing test failure (test skill exit code 7,
`non_invasive: false` in scorecard) → STOP.** This is a
non-invasiveness violation. Do NOT attempt to "fix" it (that
breaks principle 3). Exit code 6 with rationale.
2. **Spawn a remediation subagent**, fresh context. Inputs:
`plan.md`, `goal.md`, `scorecard.md`, `scorecard.json`, the last
committed diff, and the relevant log file for the failing category
(`test-stdout.log` / `smoke-stdout.log` / `e2e-app.log` /
`e2e-calls.log`).
System prompt (verbatim):
You are fixing a failing Mem0 integration test.
Non-negotiable constraints:
- Do not modify test files.
- Do not remove or rename any existing symbol or signature.
- Do not change pre-existing behavior. The feature flag from
plan.md must still default to OFF, and with the flag in its
default state the repo must behave exactly like main.
- Touch only the files named in plan.md's call sites, or add
strictly new files.
- Return the smallest possible diff that fixes the single
failing check listed in scorecard.md. No drive-by cleanup.
3. **Apply the diff**; commit on the same branch with message
`mem0-heal: <category> attempt <N>`. Do NOT amend earlier commits
(reviewers need the heal trail).
4. **Re-run `/mem0-test-integration --ci`**. Outcomes:
- `overall: pass` → done, exit 0.
- Same check still failing → increment attempt counter; loop.
- A *different* check now failing → regression. Revert the heal
commit (`git revert HEAD --no-edit`), record the regression in
`.mem0-integration/heal-trace.md`, exit code 6.
5. **Bounded iterations.** Default 3 attempts per failing category.
Override with `--heal-max N` (hard cap 10). On exhaustion, exit 6
with the full attempt trace: each diff, each scorecard, final log
tail.
6. **Post-loop summary** written to `.mem0-integration/heal-trace.md`:
which category failed, how many attempts, each diff's intent, final
status, and — on success — the delta from initial scorecard to final.
## Artifacts (all under `.mem0-integration/`)
| File | Purpose | Retention |
|---|---|---|
| `repo-summary.md` | Repo comprehension + candidate backend surfaces (step 2). | Keep across runs. |
| `goal.md` | Approved intent. Never rewritten after step 6. | Keep across runs. |
| `plan.md` | Approved mechanics (where, how, call sites, preserved behavior). | Keep across runs. |
| `trace.jsonl` | Every tool call, decision, and subagent exchange this run. | Overwritten per run. |
| `diff.patch` | The committed integration as a reviewable patch. | Overwritten per run. |
| `heal-trace.md` | Per-attempt record of the self-healing loop (step 10). | Overwritten per run. |
| `product.json` | `{"product": "platform"\|"oss", "language": "...", "mem0_version": "...", "write_site": "file:line", "read_site": "file:line", "feature_flag": "MEM0_ENABLED"}` — consumed by the verification skill. | Overwritten per run. |
`.mem0-integration/` is added to `.gitignore` on first run. Nothing is
written outside this directory and the repo's source tree.
## Modes
| Mode | Trigger | Behavior |
|---|---|---|
| Interactive (default) | TTY present, `MEM0_INTEGRATE_CI` unset | Asks for keys, confirms goal doc, shows recommendations. |
| CI | `MEM0_INTEGRATE_CI=1` | Requires keys in env, requires `--product`, auto-approves goal doc from `goal.md` if present, fails fast otherwise. |
## Invocation
/mem0-integrate # interactive, heal ON
/mem0-integrate --no-heal # stop after commit; manual verify
/mem0-integrate --heal-max 5 # cap heal attempts per category (default 3)
/mem0-integrate --product platform # skip the product ask
/mem0-integrate --product oss
/mem0-integrate --ci # non-interactive (for test harness)
## Exit codes
| Code | Meaning |
|---|---|
| 0 | Success. Feature branch committed; verification skill ready to run. |
| 1 | Precondition failed (dirty repo, no detectable language, etc.). |
| 2 | Missing env key in CI mode. |
| 3 | Goal doc rejected 3+ times — integration is not well-specified. |
| 4 | Subagent review loop did not converge in 3 rounds. |
| 5 | Integration plan rejected 3+ times, or no plausible additive call site found. |
| 6 | Self-healing loop did not converge, detected a non-invasiveness violation, or a pre-existing test failed. |
## Explicitly out of scope
- Surveying the repo for fit points. Humans decide where Mem0 helps before
invoking this skill.
- Replacing any existing memory / session / state system. Always additive
and feature-flagged; see "Integration principles."
- Modifying pre-existing tests, even to "fix" them under self-heal. Tests
that fail after integration with the flag unset are a non-invasiveness
violation, not a bug to patch.
- Deciding Platform vs OSS silently. Always ask with a recommendation.
- Switching branches, pushing, or opening PRs. Commits locally and stops
(or enters the heal loop, still local).
- Data migration between stores. Point user at `migration/oss-to-platform`
docs if they ask.
- Provider selection beyond the default LLM for OSS. If they need a custom
LLM / embedder / vector store, route to `components/*` docs and re-run
step 4 with the new key.
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liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
Copyright 2024 Mem0.ai
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
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# mem0-test-integration — Pipeline Skill
Verify a Mem0 integration produced by [`/mem0-integrate`](../mem0-integrate/SKILL.md). Runs in the same workspace on the same branch — installs dependencies, runs the repo's native test suite, then exercises a real end-to-end smoke flow against the user's API key.
> **This is a pipeline skill, not a reference skill.** Invoke it as `/mem0-test-integration` after `/mem0-integrate` has produced a branch to verify. It catches compile and runtime bugs by design — logical integration errors (wrong data stored, wrong scoping) are for human review.
>
> **Part of the Mem0 Skill Graph:**
> - Reference: [mem0](../mem0/SKILL.md) · [mem0-cli](../mem0-cli/SKILL.md) · [mem0-vercel-ai-sdk](../mem0-vercel-ai-sdk/SKILL.md)
> - Pipeline: [mem0-integrate](../mem0-integrate/SKILL.md) → **mem0-test-integration** (this skill)
## What This Skill Does
When invoked, your assistant will:
- **Refuse to start** unless the branch has `.mem0-integration/` artifacts, the working tree is clean, and the right API key is in the environment
- **Install** the repo's dependencies using its native tooling (pip, pnpm, npm, hatch, etc.)
- **Run the native test suite** in two passes: flag-unset (must behave like `main`) and flag-set (new tests run)
- **Execute a real end-to-end smoke flow** against Mem0 Platform (`MEM0_API_KEY`) or OSS (`OPENAI_API_KEY`)
- **Produce a scorecard** — `overall: pass | fail`, per-check reasons, and the reproduction command for each failure
## When to Use
Trigger phrases:
- "Verify the integration"
- "Test the Mem0 integration"
- "Run `/mem0-test-integration`"
Do **not** use this skill to run general project tests (defer to the repo's native test command) or before `/mem0-integrate` has produced a branch on the current workspace.
## Installation
### CLI (Claude Code, Codex, OpenCode, OpenClaw, or any tool that supports skills)
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0-test-integration
```
Typically installed alongside the companion pipeline skill:
```bash
npx skills add https://github.com/mem0ai/mem0 --skill mem0-integrate
```
### Claude.ai
1. Download this `skills/mem0-test-integration` folder as a ZIP
2. Go to **Settings > Capabilities > Skills**
3. Click **Upload skill** and select the ZIP
### Claude API (Skills API)
```bash
curl -X POST https://api.anthropic.com/v1/skills \
-H "x-api-key: $ANTHROPIC_API_KEY" \
-H "Content-Type: application/json" \
-d '{"name": "mem0-test-integration", "source": "https://github.com/mem0ai/mem0/tree/main/skills/mem0-test-integration"}'
```
### Preconditions
The skill refuses to start unless all of the following are true:
- `.mem0-integration/` directory exists in the repo root
- Current branch starts with `mem0-integrate/`
- Working tree is clean
- The same API key used during `/mem0-integrate` is exported in the environment
## What This Skill Does *Not* Catch
By design, this skill only catches compile and runtime bugs. Logical errors — memories stored with the wrong scoping, retrieval returning the wrong user's data, filter mismatches — are the human reviewer's responsibility.
## Links
- [Mem0 Documentation](https://docs.mem0.ai)
- [Mem0 GitHub](https://github.com/mem0ai/mem0)
- [API Reference](https://docs.mem0.ai/api-reference)
## License
Apache-2.0
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---
name: mem0-test-integration
description: >
Verify a Mem0 integration produced by /mem0-integrate. Runs in the same
workspace on the same branch (loose coupling) — installs dependencies,
runs the repo's native test suite, then exercises a real end-to-end
smoke flow against the user's API key. Produces a scorecard.
TRIGGER when: user has just run /mem0-integrate and says "verify",
"test the integration", "run /mem0-test-integration", or when a
.mem0-integration/ directory exists and tests have not been run yet
on the current branch.
DO NOT TRIGGER when: the user wants to run general project tests
(defer to the repo's native test command), or when no prior /mem0-integrate
run exists in the current branch (ask them to run /mem0-integrate first).
This skill ONLY catches compile and runtime bugs by design. Logical
integration errors — wrong data stored, wrong time retrieved, wrong
user scoping — are on the human reviewer.
license: Apache-2.0
metadata:
author: mem0ai
version: "0.1.0"
category: ai-memory
tags: "memory, integration, testing, tdd, platform, oss"
coupling: loose
mem0_tested_versions: "mem0ai (PyPI) >=2.0.0,<3.0.0; mem0ai (npm) >=3.0.0,<4.0.0"
---
# mem0-test-integration
Verifies what `/mem0-integrate` produced. Runs in the same workspace,
on the same feature branch. Loose coupling — fast, catches compile and
runtime bugs, does not catch logical errors.
## Canonical sources (use these, not ambient knowledge)
All static checks and smoke-test shapes validate against these URLs.
`WebFetch` each before running step 3.
- Scope-tagged docs index: https://docs.mem0.ai/llms.txt
- OpenAPI (Platform REST): https://docs.mem0.ai/openapi.json
- Published SDK skill (canonical call patterns): https://raw.githubusercontent.com/mem0ai/mem0/main/skills/mem0/SKILL.md
- Vercel AI SDK skill (if the target repo uses `@ai-sdk/*`): https://raw.githubusercontent.com/mem0ai/mem0/main/skills/mem0-vercel-ai-sdk/SKILL.md
- SDK source (cross-check version against frontmatter `mem0_tested_versions`):
- Repo root: https://github.com/mem0ai/mem0
- Python: https://github.com/mem0ai/mem0/tree/main/mem0
- TypeScript: https://github.com/mem0ai/mem0/tree/main/mem0-ts
Read the `Delegated skill:` field in `.mem0-integration/plan.md` — if it
names a skill URL, fetch that skill and use its example blocks as the
reference for both static checks (step 3) and the smoke test (step 5).
## Non-invasiveness contract
Every check in this skill assumes the integration is **additive and
feature-flagged** (see `/mem0-integrate` "Integration principles").
Specifically:
- `product.json` must contain a `feature_flag` field.
- Steps 4–6 run in two passes:
- **Pass A — flag unset.** All pre-existing tests must pass, smoke/E2E
skip. The repo must behave like `main`. Any failure here is a
**hard fail** — do not let the self-heal loop attempt a patch.
- **Pass B — flag set.** New tests must pass, smoke and E2E run.
- If Pass A fails, the scorecard marks `non_invasive: false` and sets
`overall: fail` with a distinct reason code the integrator's heal
loop refuses to touch.
## Preconditions
Refuse to start unless ALL of the following are true:
- `.mem0-integration/` directory exists in the repo root.
- `.mem0-integration/product.json`, `goal.md`, and `plan.md` are readable
and internally consistent (JSON parses, docs non-empty).
- Current branch name begins with `mem0-integrate/` (set by the companion
skill). Prevents accidental runs on unrelated branches.
- Working tree is clean. The skill never modifies source files; any dirty
state means the integration is mid-edit and not ready to verify.
- The same API key the integration used is available in the environment
(`MEM0_API_KEY` for Platform, `OPENAI_API_KEY` for OSS — read which from
`product.json`). Interactive mode asks if missing; CI mode exits 2.
Exit with a written rationale on any precondition failure. Never attempt
to "fix up" state.
## Pipeline
### 1. Read the contract
Load:
- `product.json` → which language, which product (Platform vs OSS), which
mem0 version, `write_site`, `read_site`.
- `plan.md` → the mechanical contract (write pattern, read pattern,
preserved behavior).
- `goal.md` → the intent (displayed in the scorecard only; not tested).
### 2. Install dependencies
Route by language from `product.json`:
| Language | Command |
|---|---|
| Python | `pip install -e .` if editable, else `pip install -r requirements.txt`. Then `pip install mem0ai` if not already present at the pinned version. |
| TypeScript / JavaScript | `npm install` (or `pnpm install` / `yarn install` if detected by lockfile). |
If install fails → exit code 2 with stderr tail. Never move to testing
if dependencies don't resolve.
### 3. Static sanity checks (fast, local, no API calls)
- **Import check**: does the write-site file import the expected Mem0
surface? Authoritative list comes from `## Identify the User's Setup`
in `https://docs.mem0.ai/llms.txt`:
- Platform Python → `from mem0 import MemoryClient`
- Platform TS → `import MemoryClient from "mem0ai"`
- OSS Python → `from mem0 import Memory`
- OSS TS → `import { Memory } from "mem0ai/oss"`
If `plan.md` names a delegated skill (e.g., Vercel AI), use *that*
skill's import signature instead of the list above. Mismatch → fail
with line number.
- **Version check**: installed `mem0ai` version falls in the range from
this skill's `mem0_tested_versions`. Out of range → warn but continue.
- **Type check** (TS tracks only): run `tsc --noEmit` or `tsup --dts`.
Non-zero → fail.
- **Lint** (if the repo has a linter configured): run the repo's own
lint command. Lint failures from this skill's changes → fail; pre-existing
lint failures → surface as a warning.
- **Eager-init check**: grep the `write_site` and `read_site` files (paths
from `product.json`) for `MemoryClient(` or `Memory(` at module scope —
i.e., not inside a function, method, or class body. `MemoryClient()`
validates the API key in `__init__` (network call) and OSS `Memory()`
can eagerly initialize embedding/LLM providers — module-level
instantiation hits the wire on import and breaks Pass A's test
collection whenever the key is unset. Hit → fail with `file:line` and
the lazy-init guidance from `/mem0-integrate` step 8 constraint #7.
### 4. Run the repo's native test suite (two passes)
| Language | Test command (in priority order) |
|---|---|
| Python | `pytest` with the test files from step 5 of the companion skill, else `python -m unittest discover`. |
| TypeScript / JavaScript | `npm test` if defined in package.json; else auto-detect `vitest` or `jest`. |
**Pass A — `feature_flag` unset.** Run the *entire* pre-existing suite
(excluding the new `test_mem0_*` files). **Must be 100% green.** Any
failure here marks `non_invasive: false` in the scorecard and is
a **hard fail** — the integrator's self-heal loop refuses to touch it.
**Pass B — `feature_flag` set** (value from `product.json`). Run the
full suite including the new tests. All must pass.
Isolate integration-introduced failures using `git diff main..HEAD
--name-only`. A test file that exists on `main` and fails only under
the integration branch (flag set *or* unset) counts against the
scorecard regardless of pass. A test file that already failed on `main`
is surfaced as `pre_existing_unrelated` and does not count — but is
still reported so the user can clean it up.
Capture output to `.mem0-integration/test-stdout-flag-off.log` and
`.mem0-integration/test-stdout-flag-on.log`. Scorecard reports pass/fail
per pass.
### 5. Smoke test (real API call, shortest round-trip)
Scripted end-to-end flow tailored to `product.json`. The call shapes
below are the minimal ones; if `plan.md` names a delegated skill, use
*that skill's* minimal example verbatim instead — it is the canonical
shape for the detected stack.
**Platform (Python):**
from mem0 import MemoryClient
c = MemoryClient() # uses MEM0_API_KEY
uid = f"mem0-test-integration-{os.urandom(4).hex()}"
c.add([{"role": "user", "content": "I prefer aisle seats"}], user_id=uid)
hits = c.search("seat preference", user_id=uid)
assert any("aisle" in h.get("memory", "") for h in hits), hits
c.delete_all(user_id=uid) # clean up
**Platform (TS):** same shape with `MemoryClient` from `"mem0ai"`.
**OSS (Python / TS):** uses `Memory()` / `new Memory()` with default config
(OpenAI LLM via `OPENAI_API_KEY`, local Qdrant). If the repo ships a
`docker-compose.yml` with a Qdrant service, the skill starts it first and
tears it down after. If no backing store is reachable → fail with a
clear message naming the fix.
The smoke test always uses a **disposable random user_id** prefixed with
`mem0-test-integration-` so a failed cleanup doesn't pollute the user's
real data. A background tidy step deletes any prefix-matching entries
older than 24 hours on the next run.
Capture output to `.mem0-integration/smoke-stdout.log`.
### 6. E2E integration test (run the app, exercise the flow)
Unit tests + smoke prove the SDK works in isolation. This step is the
real signal: **does memory actually appear in the app's user-visible
output when the integration runs end-to-end?**
Requires `plan.md` to contain an `E2E recipe:` section (authored by
`/mem0-integrate` step 5). If absent → status `skipped` (not `fail`),
note in scorecard that the repo has no runnable entry point.
Recipe fields the skill reads:
- `start` — shell command to launch the app using `$PORT` for any network
port. Run in background with stdout/stderr teed to
`.mem0-integration/e2e-app.log`.
- `ready_probe` — how to detect readiness. `url=... status=...` polls an
HTTP endpoint; `log="..."` waits for a substring in `e2e-app.log`;
`sleep=N` waits N seconds (last resort). 60-second hard timeout.
- `compose_services` — optional. If set, bring them up via
`docker compose up -d <services>` before `start`, tear them down with
`docker compose down` at the end.
- `write_call` — triggers the Mem0 write path exactly once. Output is
captured and surfaced on failure. 60-second hard timeout.
- `write_async_wait_ms` — pause after `write_call` to let async memory
flushes land. Default 0.
- `read_call` — triggers the Mem0 read path. Typically a fresh session
or new request that should surface the stored memory.
- `read_assert` — substring, `regex=...`, or `jsonpath=<expr>=<value>`
that must appear in `read_call`'s stdout. This is the E2E pass gate.
Execution order:
1. Allocate an ephemeral TCP port; export as `PORT`.
2. Set `MEM0_USER_ID` to a disposable `mem0-test-integration-<rand>` value
and export it, so the app can use the same scoping the smoke test does
if the recipe wants cleanup.
3. Bring up `compose_services` if named.
4. Run `start` in the background.
5. Poll `ready_probe` until success or 60s timeout. Timeout → fail.
6. Run `write_call`. Non-zero exit → fail (but continue to cleanup).
7. Sleep `write_async_wait_ms`.
8. Run `read_call`.
9. Evaluate `read_assert` against `read_call`'s stdout. Miss → fail.
10. Cleanup (always, even on failure): SIGTERM the app, SIGKILL after
5s, `docker compose down` if services were started, `delete_all`
memories matching `mem0-test-integration-*` on Platform scenarios.
On any failure, the scorecard includes:
- Last 40 lines of `e2e-app.log`
- Full `write_call` output
- Full `read_call` output
- The expected vs actual for `read_assert`
### 7. Scorecard
Write `.mem0-integration/scorecard.md` and `.mem0-integration/scorecard.json`:
{
"timestamp": "2026-04-20T14:03:11Z",
"branch": "mem0-integrate/remember-user-preferences",
"product": "platform",
"language": "python",
"mem0_version": "2.0.0",
"non_invasive": true,
"feature_flag": "MEM0_ENABLED",
"results": {
"install": {"status": "pass", "duration_ms": 12043},
"static_checks":{"status": "pass", "duration_ms": 812},
"unit_tests_flag_off": {"status": "pass", "duration_ms": 3920, "count": 47,
"reason": "all pre-existing tests green with flag unset"},
"unit_tests_flag_on": {"status": "pass", "duration_ms": 4321, "count": 49},
"smoke_test": {"status": "pass", "duration_ms": 2890, "memory_id": "mem_..."},
"e2e_test": {"status": "pass", "duration_ms": 14200,
"ready_probe_ms": 3100, "write_exit": 0,
"read_assert_matched": true}
},
"friction": {
"dependency_install_retries": 0,
"pre_existing_test_failures": 0,
"warnings": ["mem0ai 2.0.0 pinned; consider 2.0.1 for fix X"]
},
"overall": "pass"
}
The markdown version is human-readable and includes:
- Goal doc + plan doc reprinted at top (so reviewers don't have to hunt).
- Each check with pass/fail + log excerpt.
- Friction summary.
- Verbatim warnings from mem0 SDK (if any — e.g., deprecated field usage).
- **Explicit "NOT checked" section** listing what loose coupling misses:
"Whether the stored data is what the user wants stored. Whether search
runs at the right moment. Whether user_id matches the actual session
scope. Human review required."
### 8. Report + exit
- Print the scorecard path + overall pass/fail to stdout.
- **Do not commit the scorecard files.** They live in `.mem0-integration/`,
which is gitignored. The user can inspect and optionally pin.
- On fail: print the first failing step's log tail (last 40 lines) and
stop. Do not attempt to fix anything.
## Artifacts (all under `.mem0-integration/`)
| File | Purpose | Retention |
|---|---|---|
| `scorecard.md` | Human-readable verdict. | Overwritten per run. |
| `scorecard.json` | Machine-readable verdict. Consumed by the CI scorecard workflow later. | Overwritten per run. |
| `test-stdout-flag-off.log` | Step 4 Pass A (pre-existing suite, flag unset). | Overwritten per run. |
| `test-stdout-flag-on.log` | Step 4 Pass B (full suite, flag set). | Overwritten per run. |
| `smoke-stdout.log` | Full output from step 5. | Overwritten per run. |
| `e2e-app.log` | Background app stdout/stderr from step 6. | Overwritten per run. |
| `e2e-calls.log` | write_call + read_call invocations and outputs. | Overwritten per run. |
## Modes
| Mode | Trigger | Behavior |
|---|---|---|
| Interactive (default) | TTY present, `MEM0_TEST_CI` unset | Asks for missing keys, prints friendly summaries. |
| CI | `MEM0_TEST_CI=1` | Keys must be in env, no prompts, non-zero exit on any fail. JSON scorecard goes to stdout's tail for workflow parsing. |
## Invocation
/mem0-test-integration # interactive, all steps
/mem0-test-integration --ci # non-interactive
/mem0-test-integration --skip-smoke # no API calls, no E2E
/mem0-test-integration --skip-e2e # unit + smoke only (faster CI)
/mem0-test-integration --only-smoke # just smoke
/mem0-test-integration --only-e2e # just E2E (assumes deps installed)
Composition: `--skip-*` can stack (`--skip-smoke --skip-e2e` = static +
unit only, zero API cost). `--only-*` is mutually exclusive with all
other flags.
## Exit codes
| Code | Meaning |
|---|---|
| 0 | All checks passed. |
| 1 | Precondition failed (no `.mem0-integration/`, wrong branch, dirty tree). |
| 2 | Missing env key (CI mode) or dependency install failure. |
| 3 | Static sanity check failed (wrong import, type error). |
| 4 | Unit tests failed (Pass B — integration itself broken). |
| 5 | Smoke test failed. |
| 6 | E2E test failed (ready_probe timeout, write/read call failed, or read_assert miss). |
| 7 | Non-invasiveness violation: Pass A failed (pre-existing tests broke). Integrator's heal loop refuses to touch this. |
| 8 | Internal error (skill bug — report it). |
## Explicitly out of scope
- **Modifying source files.** The skill is read-only against the repo.
If verification exposes a bug, re-run `/mem0-integrate` on the same
goal + plan; do not hand-patch.
- **Fixing broken tests.** Failing unit tests are a signal that the
integration is wrong, not that the tests are wrong. The skill does
not "try a different test."
- **Deep logical correctness.** The E2E step proves "something the user
said earlier comes back later," which is a useful but shallow signal.
It does NOT prove the integration picks the *right* facts to store,
scopes `user_id` correctly across real users, or handles conflict
resolution well. That's human review territory.
- **Self-healing.** This skill never modifies source files. The paired
`/mem0-integrate` skill in its default `--heal` mode consumes the
scorecard produced here and drives its own remediation loop. Exit
code 7 (non-invasiveness violation) is the explicit signal the heal
loop must stop and surface to the user.
- **Cross-branch comparisons.** No `main` baseline diffing. The
scorecard reflects this branch only.
- **Running against production data.** Every smoke test uses a disposable
random user_id and cleans up after. Never touches any other user's data.