feat(integrations): dsh-mem0 — Mem0 as a native DeepSeek Harness plugin (#7027)

Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
This commit is contained in:
Himanshu
2026-08-24 14:03:50 +05:30
committed by GitHub
parent d18e751dec
commit 7e09615571
26 changed files with 3319 additions and 2 deletions
+2
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@@ -21,6 +21,7 @@ Package workflows keep their own push-to-main and manual triggers. Their `pull_r
| Mem0 Plugin | `mem0-plugin-checks.yml` | Push to main (`integrations/mem0-plugin/`, excluding `.opencode-plugin/`), manual | pytest + hook exec bits + JSON manifest validation on Python 3.10, 3.11, 3.12 |
| OpenCode Plugin | `opencode-plugin-checks.yml` | Push to main (`.opencode-plugin/`), manual | Bun: tsc + build + dist artifact check |
| Pi Agent Plugin | `pi-agent-plugin-checks.yml` | Push to main (`integrations/pi-agent-plugin/`), manual | tsc + vitest + tsup on Node 20, 22 |
| DeepSeek Harness Plugin | `dsh-mem0-checks.yml` | Push to main (`integrations/dsh-mem0/`), manual | tsc + vitest + tsup on Node 20, 22 |
| n8n Node | `n8n-nodes-mem0-checks.yml` | Push to main (`integrations/n8n-nodes-mem0/`), manual | ESLint + tsc build on Node 20 |
| Zapier App | `zapier-mem0-checks.yml` | Push to main (`integrations/zapier-mem0/`), manual | tsc + `zapier validate` + offline unit tests on Node 22 |
| strands-mem0 | `strands-mem0-checks.yml` | Push to main (`integrations/strands-mem0/`), manual | Ruff + mypy + pytest + hatch build on Python 3.10, 3.11, 3.12 |
@@ -59,6 +60,7 @@ Requiring `CI Gate` also means fork PRs from first-time contributors cannot merg
| OpenClaw | `openclaw-cd.yml` | `openclaw-v*` | npm (`@mem0/openclaw-mem0`) |
| OpenCode Plugin | `opencode-plugin-cd.yml` | `opencode-v*` | npm (`@mem0/opencode-plugin`) |
| Pi Agent Plugin | `pi-agent-plugin-cd.yml` | `pi-agent-v*` | npm (`@mem0/pi-agent-plugin`) |
| DeepSeek Harness Plugin | `dsh-mem0-cd.yml` | `dsh-mem0-v*` | npm (`@mem0/dsh-mem0`) |
| n8n Node | `n8n-nodes-mem0-cd.yml` | `n8n-nodes-mem0-v*` | npm (`@mem0/n8n-nodes-mem0`) |
| strands-mem0 | `strands-mem0-cd.yml` | `strands-mem0-v*` | PyPI (`strands-mem0`) |
+13
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@@ -41,6 +41,7 @@ jobs:
mem0_plugin: ${{ steps.filter.outputs.mem0_plugin }}
opencode_plugin: ${{ steps.filter.outputs.opencode_plugin }}
pi_agent_plugin: ${{ steps.filter.outputs.pi_agent_plugin }}
dsh_mem0: ${{ steps.filter.outputs.dsh_mem0 }}
n8n_nodes_mem0: ${{ steps.filter.outputs.n8n_nodes_mem0 }}
zapier_mem0: ${{ steps.filter.outputs.zapier_mem0 }}
strands_mem0: ${{ steps.filter.outputs.strands_mem0 }}
@@ -89,6 +90,10 @@ jobs:
- 'integrations/pi-agent-plugin/**'
- '.github/workflows/pi-agent-plugin-checks.yml'
- '.github/workflows/ci-gate.yml'
dsh_mem0:
- 'integrations/dsh-mem0/**'
- '.github/workflows/dsh-mem0-checks.yml'
- '.github/workflows/ci-gate.yml'
n8n_nodes_mem0:
- 'integrations/n8n-nodes-mem0/**'
- '.github/workflows/n8n-nodes-mem0-checks.yml'
@@ -171,6 +176,13 @@ jobs:
uses: ./.github/workflows/pi-agent-plugin-checks.yml
secrets: inherit
dsh-mem0:
name: DeepSeek Harness Plugin
needs: changes
if: needs.changes.outputs.dsh_mem0 == 'true'
uses: ./.github/workflows/dsh-mem0-checks.yml
secrets: inherit
n8n-nodes-mem0:
name: n8n Node
needs: changes
@@ -227,6 +239,7 @@ jobs:
- mem0-plugin
- opencode-plugin
- pi-agent-plugin
- dsh-mem0
- n8n-nodes-mem0
- zapier-mem0
- strands-mem0
+60
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@@ -0,0 +1,60 @@
name: Publish @mem0/dsh-mem0 📦 to npm
# Dispatched by release.yml (Release Router) when a release tagged
# dsh-mem0-v* is published. Can also be dispatched manually to re-publish
# a tag.
on:
workflow_dispatch:
inputs:
tag:
description: 'Release tag to build and publish (e.g. dsh-mem0-v0.1.1)'
required: true
type: string
prerelease:
description: 'Publish under the version preid dist-tag instead of latest'
required: false
type: boolean
default: false
jobs:
build-n-publish:
name: Build and publish @mem0/dsh-mem0 📦 to npm
if: startsWith(inputs.tag, 'dsh-mem0-v')
runs-on: ubuntu-latest
permissions:
id-token: write
defaults:
run:
working-directory: integrations/dsh-mem0
steps:
- uses: actions/checkout@v4
with:
ref: ${{ inputs.tag }}
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 9
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: '22'
registry-url: 'https://registry.npmjs.org'
cache: 'pnpm'
cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Build
run: pnpm build
- name: Publish to npm
run: |
if [ "${{ inputs.prerelease }}" = "true" ]; then
PREID=$(node -p "require('./package.json').version.split('-')[1].split('.')[0]")
npx npm@latest publish --provenance --access public --tag "$PREID"
else
npx npm@latest publish --provenance --access public
fi
+90
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@@ -0,0 +1,90 @@
name: dsh-mem0 checks
# On PRs this is invoked by ci-gate.yml (the single required check);
# push-to-main and manual runs remain standalone.
on:
workflow_dispatch:
push:
branches: [main]
paths:
- 'integrations/dsh-mem0/**'
- '.github/workflows/dsh-mem0-checks.yml'
workflow_call:
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 9
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: 20
cache: 'pnpm'
cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/dsh-mem0 && pnpm install --frozen-lockfile
- name: Type check
run: cd integrations/dsh-mem0 && pnpm exec tsc --noEmit
test:
runs-on: ubuntu-latest
strategy:
matrix:
node-version: [20, 22]
steps:
- uses: actions/checkout@v4
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 9
- name: Setup Node.js ${{ matrix.node-version }}
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
cache: 'pnpm'
cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/dsh-mem0 && pnpm install --frozen-lockfile
- name: Run tests
run: cd integrations/dsh-mem0 && pnpm exec vitest run
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 9
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: 20
cache: 'pnpm'
cache-dependency-path: integrations/dsh-mem0/pnpm-lock.yaml
- name: Install dependencies
run: cd integrations/dsh-mem0 && pnpm install --frozen-lockfile
- name: Build
run: cd integrations/dsh-mem0 && pnpm build
- name: Verify dist output exists
run: |
test -f integrations/dsh-mem0/dist/index.js || (echo "Build output missing: dist/index.js" && exit 1)
test -f integrations/dsh-mem0/dist/index.d.ts || (echo "Build output missing: dist/index.d.ts" && exit 1)
+1
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@@ -45,6 +45,7 @@ jobs:
openclaw-v*) workflow="openclaw-cd.yml" ;;
opencode-v*) workflow="opencode-plugin-cd.yml" ;;
pi-agent-v*) workflow="pi-agent-plugin-cd.yml" ;;
dsh-mem0-v*) workflow="dsh-mem0-cd.yml" ;;
n8n-nodes-mem0-v*) workflow="n8n-nodes-mem0-cd.yml" ;;
strands-mem0-v*) workflow="strands-mem0-cd.yml" ;;
v*) workflow="cd.yml" ;;
+4
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@@ -191,3 +191,7 @@ qdrant_storage/
testing.ipynb
.weave/
# TypeScript incremental build info and local, uncommitted e2e scripts (used by the integrations, e.g. integrations/dsh-mem0)
*.tsbuildinfo
*.local.mjs
+2 -1
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@@ -382,7 +382,8 @@
"pages": [
"integrations/openclaw",
"integrations/hermes",
"integrations/pi-agent"
"integrations/pi-agent",
"integrations/dsh-mem0"
]
}
]
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@@ -0,0 +1,89 @@
---
title: DeepSeek Harness
description: "Add persistent Mem0 memory to the DeepSeek Harness (Cordis) agent with two native tools: search and add."
---
Add persistent memory to the [**DeepSeek Harness**](https://github.com/deepseek-ai/deepseek-harness) with `@mem0/dsh-mem0`. The Harness agent forgets everything between sessions. This plugin gives it two Mem0-backed tools so recall and writes persist across runs, sharing the same memory bank you already use from Claude Code, Codex, and other agents.
## Overview
The plugin registers two agent-callable tools:
| Tool | Does |
|---|---|
| `search_memory` | Recall facts from Mem0 relevant to a query |
| `add_memory` | Store a fact in Mem0 for future sessions |
Unlike file-based memory plugins, Mem0 is a managed backend: server-side extraction, semantic dedup, and conflict resolution, with the same memory reusable across every agent you connect.
## How it works
A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `inject = ['tools']` so it waits for the harness tool registry, then registers the two tools via `ctx.tools.register(...)`. When the plugin unmounts, the tools are removed automatically (Cordis revertible effects).
## Prerequisites
1. A Mem0 Platform account and API key:
- <a href="https://app.mem0.ai?utm_source=oss&utm_medium=integration-dsh-mem0" rel="nofollow">Sign up at app.mem0.ai</a>
- <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=integration-dsh-mem0" rel="nofollow">Get your API key</a> (starts with `m0-`)
2. The DeepSeek Harness installed.
3. Your API key exported in your shell:
<CodeGroup>
```bash zsh
echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.zshrc
source ~/.zshrc
```
```bash bash
echo 'export MEM0_API_KEY="m0-your-api-key"' >> ~/.bashrc
source ~/.bashrc
```
</CodeGroup>
## Try it locally
1. Build the plugin:
```sh
cd integrations/dsh-mem0
pnpm install
pnpm build
```
2. Point the Harness at it. Copy `cordis.example.yml`, set the absolute path to `dist/index.js` and your `userId`, then load it:
```sh
pnpm dsh web --patch ./integrations/dsh-mem0/cordis.example.yml
```
3. Open the web UI and ask the agent to remember something, then recall it in a later turn.
The `cordis.yml` entry looks like this:
```yaml
- name: "@deepseek-ai/dsh-system-prompt"
- name: "@deepseek-ai/dsh-tools"
- insert:
- id: mem0
name: "/absolute/path/to/integrations/dsh-mem0/dist/index.js"
config:
# apiKey is read from MEM0_API_KEY when omitted here.
userId: "your-user-id"
# host: "https://your-onprem.mem0.ai" # optional: Platform on-prem / dedicated base URL
```
For a Mem0 Platform on-prem or dedicated deployment, point `config.host` at that base URL (defaults to `api.mem0.ai`). `host` is a Platform base-URL override, not a switch to self-hosted Mem0 OSS.
## Configuration
| Field | Required | Default | Notes |
|---|---|---|---|
| `apiKey` | no | `$MEM0_API_KEY` | Mem0 platform API key |
| `userId` | yes | | Default entity that owns the memories |
| `host` | no | `api.mem0.ai` | Platform base URL (on-prem / dedicated) |
Both tools also accept optional per-call `userId`, `agentId`, and `runId` params so a single install can partition memory by entity, agent, or session; when omitted they fall back to the configured `userId`.
## Telemetry
Writes are tagged `source="DEEPSEEK_HARNESS"` so Mem0's backend can attribute usage to this integration.
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@@ -257,6 +257,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or a Platform call st
- [ChatDev](https://docs.mem0.ai/integrations/chatdev) [Platform]: Use when the user is on ChatDev.
- [Hermes](https://docs.mem0.ai/integrations/hermes) [Both]: Use when the user is on Hermes.
- [Pi Agent](https://docs.mem0.ai/integrations/pi-agent) [Platform]: Use when adding persistent memory to Pi Agent with the Mem0 plugin.
- [DeepSeek Harness](https://docs.mem0.ai/integrations/dsh-mem0) [Platform]: Use when adding persistent memory to the DeepSeek Harness (Cordis) agent via the Mem0 plugin.
- [OpenAI Agents SDK](https://docs.mem0.ai/integrations/openai-agents-sdk) [Platform]: Use when the user is on the OpenAI Agents SDK.
- [Google AI ADK](https://docs.mem0.ai/integrations/google-ai-adk) [Platform]: Use when the user is on Google's Agent Development Kit.
- [Mastra](https://docs.mem0.ai/integrations/mastra) [Platform]: Use when the user is on Mastra (TypeScript).
+2 -1
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@@ -9,6 +9,7 @@ Agent and editor integrations. Each subdirectory is self-contained: its own `pac
| `mem0-plugin/` | Claude Code / Cursor / Codex plugin | none | none | pytest |
| `mem0-plugin/.opencode-plugin/` | `@mem0/opencode-plugin` | Bun | none | tsc type-check |
| `pi-agent-plugin/` | `@mem0/pi-agent-plugin` | tsup | none | vitest |
| `dsh-mem0/` | `@mem0/dsh-mem0` | tsup (ESM) | none | vitest |
| `n8n-nodes-mem0/` | `@mem0/n8n-nodes-mem0` | tsc | ESLint (n8n-nodes-base) | none |
| `zapier-mem0/` | `@mem0/zapier` | tsc | none | offline unit tests + `zapier validate` |
| `strands-mem0/` | `strands-mem0` (PyPI) | hatch | Ruff + mypy | pytest |
@@ -40,7 +41,7 @@ Run the type check after every TypeScript change: `pnpm run typecheck` or `tsc -
- **`vercel-ai-sdk/`** wraps the Vercel AI SDK through a `createMem0` provider. Integrations for AI-SDK repos go through this wrapper, not raw `MemoryClient`.
- **`mem0-plugin/`** connects Claude Code, Cursor, and Codex to the MCP server at `mcp.mem0.ai` and installs lifecycle hooks for automatic memory capture. Exposes 9 MCP tools: `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`.
- **`openclaw/`**, **`pi-agent-plugin/`** are editor and agent plugins with the same shape.
- **`openclaw/`**, **`pi-agent-plugin/`**, **`dsh-mem0/`** are editor and agent plugins with the same shape. `dsh-mem0/` registers Mem0 search/add tools as a native DeepSeek Harness (Cordis) plugin.
- **`n8n-nodes-mem0/`** is an n8n community node: add, search, get, update, delete.
- **`zapier-mem0/`** is a Zapier Platform CLI app: add, search, get, delete. It deploys to Zapier, not npm, so it is **not** in the release router. Deploy it with `gh workflow run zapier-mem0-cd.yml --ref main` (needs the `ZAPIER_DEPLOY_KEY` secret).
- **`strands-mem0/`** is a native Strands `MemoryStore` (Python, published to PyPI as `strands-mem0`). It plugs into the Strands `MemoryManager` for automatic recall and server-side extraction, over the hosted Mem0 platform or self-hosted Mem0 OSS. The package lives under `strands-mem0/python/`.
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@@ -0,0 +1,7 @@
# The DeepSeek Harness SDK (@deepseek-ai/dsh-tools) declares the rest of the
# harness runtime (dsh-llm, dsh-agent, dsh-scope, ...) as peer dependencies.
# The host harness provides those at runtime; this adapter only needs cordis +
# dsh-tools to build and type-check. Auto-installing the full peer graph pulls
# unpublished internal packages (e.g. dsh-type-meta), so keep it off.
auto-install-peers=false
package-manager-strict-version=false
+201
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@@ -0,0 +1,201 @@
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+60
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# dsh-mem0
[Mem0](https://mem0.ai) long-term memory as a native [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) (Cordis) plugin.
It gives a Harness agent two memory tools backed by the Mem0 SDK, so recall and writes persist across sessions:
| Tool | Does |
|---|---|
| `search_memory` | Recall facts from Mem0 relevant to a query |
| `add_memory` | Store a fact in Mem0 for future sessions |
Unlike the local/file-based memory plugins in the ecosystem, Mem0 is a managed backend: server-side extraction, semantic dedup and conflict resolution, and the same memory bank reusable across Harness, Claude Code, Codex, and other agents.
## How it works
A Cordis plugin is a module exporting `apply(ctx, config)`. This one declares `inject = ['tools']` so it waits for the harness tool registry, then registers the two tools via `ctx.tools.register(defineTool(...))`. When the plugin unmounts, the tools are removed automatically (Cordis revertible effects).
```
[ mem0ai SDK ] <-- managed memory, owned by Mem0
|
[ dsh-mem0: apply(ctx) -> ctx.tools.register(...) ] <-- this package
|
[ DeepSeek Harness ] <-- the agent, loaded via cordis.yml
```
## Try it locally
1. Build the plugin:
```sh
cd integrations/dsh-mem0
pnpm install
pnpm build
```
2. Set your Mem0 key:
```sh
export MEM0_API_KEY=...
```
3. Point Harness at it. Copy `cordis.example.yml`, set the absolute path to `dist/index.js` and your `userId`, then:
```sh
pnpm dsh web --patch ./integrations/dsh-mem0/cordis.example.yml
```
4. Open http://127.0.0.1:3080 and ask the agent to remember something, then recall it in a later turn.
For a Mem0 Platform on-prem or dedicated deployment, point `config.host` at that base URL (defaults to `api.mem0.ai`). `host` is a Platform base-URL override — it is not a switch to self-hosted Mem0 OSS, whose server exposes a different API surface.
## Configuration
| Field | Required | Default | Notes |
|---|---|---|---|
| `apiKey` | no | `$MEM0_API_KEY` | Mem0 platform API key |
| `userId` | yes | | Entity that owns the memories |
| `host` | no | `api.mem0.ai` | Platform base URL (on-prem / dedicated) |
## Telemetry
Writes are tagged `source="DEEPSEEK_HARNESS"` so Mem0's backend can attribute usage to this integration. For it to surface by name (rather than bucketing into `OTHERS`), `DEEPSEEK_HARNESS` must be present in the backend's `KNOWN_EVENT_SOURCES` allowlist, a one-line platform change matching the existing `ZAPIER` / `STRANDS` sources.
## Status
Developer preview. Tracks the DeepSeek Harness v0.1 plugin API (`@deepseek-ai/cordis`, `@deepseek-ai/dsh-tools`), which is young and moving; pin versions once it stabilizes. Auto-capture (store turns without an explicit tool call) and auto-recall (inject memory into the prompt at assembly) are planned once the harness session/assembly event API is confirmed.
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# Example DeepSeek Harness config that loads dsh-mem0 alongside the built-in
# tools plugin. Load with:
#
# pnpm dsh web --patch ./integrations/dsh-mem0/cordis.example.yml
#
# The tools plugin (and its system-prompt dependency) must be present, because
# the memory tools contribute schemas the system prompt renders.
- name: "@deepseek-ai/dsh-system-prompt"
- name: "@deepseek-ai/dsh-tools"
- insert:
- id: mem0
# Absolute path to the built plugin (run `pnpm build` first), or point
# at src/index.ts when running through tsx during development.
name: "/absolute/path/to/mem0/integrations/dsh-mem0/dist/index.js"
config:
# apiKey is read from the MEM0_API_KEY env var when omitted here.
userId: "your-user-id"
# host: "https://your-onprem.mem0.ai" # optional: Platform on-prem / dedicated base URL
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{
"name": "@mem0/dsh-mem0",
"version": "0.1.0",
"description": "Mem0 long-term memory as a native DeepSeek Harness (Cordis) plugin.",
"type": "module",
"license": "Apache-2.0",
"repository": {
"type": "git",
"url": "https://github.com/mem0ai/mem0",
"directory": "integrations/dsh-mem0"
},
"keywords": [
"deepseek-harness",
"dsh",
"dsh-plugin",
"cordis",
"mem0",
"memory",
"agent"
],
"main": "./dist/index.js",
"types": "./dist/index.d.ts",
"exports": {
".": {
"types": "./dist/index.d.ts",
"import": "./dist/index.js"
}
},
"publishConfig": {
"access": "public"
},
"files": [
"dist",
"src",
"README.md",
"LICENSE"
],
"scripts": {
"build": "tsup",
"test": "vitest run",
"test:watch": "vitest",
"typecheck": "tsc --noEmit"
},
"dependencies": {
"mem0ai": "^3.0.7"
},
"peerDependencies": {
"@deepseek-ai/cordis": "*",
"@deepseek-ai/dsh-tools": "*"
},
"devDependencies": {
"@deepseek-ai/cordis": "4.0.1",
"@deepseek-ai/dsh-tools": "0.0.1-rc.1",
"@types/node": "^22.15.0",
"tsup": "^8.5.0",
"typescript": "^5.6.0",
"vitest": "^4.1.7"
}
}
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/**
* Compact, token-cheap rendering of Mem0 results for the model context.
*
* Mirrors the format used by the sibling Mem0 plugins
* (integrations/pi-agent-plugin/src/memory/formatting.ts) so a memory reads the
* same way across every harness: `[category] text (age) [mem0:id]`. Dumping the
* raw search envelope instead would spend most of the tokens on JSON scaffolding.
*/
export interface MemoryLike {
id: string;
memory?: string;
categories?: string[];
createdAt?: Date | string;
}
export function formatAge(date: Date | string): string {
const d = typeof date === "string" ? new Date(date) : date;
const ms = Date.now() - d.getTime();
const minutes = Math.floor(ms / 60_000);
if (minutes < 60) return `${minutes}m ago`;
const hours = Math.floor(minutes / 60);
if (hours < 24) return `${hours}h ago`;
const days = Math.floor(hours / 24);
return `${days}d ago`;
}
export function formatMemoryCompact(mem: MemoryLike): string {
const cat = mem.categories?.[0] ?? "uncategorized";
const age = mem.createdAt ? ` (${formatAge(mem.createdAt)})` : "";
return `[${cat}] ${mem.memory ?? "(empty)"}${age} [mem0:${mem.id}]`;
}
export function formatMemoryList(memories: MemoryLike[]): string {
if (memories.length === 0) return "No memories found.";
return memories
.map((m, i) => `${i + 1}. ${formatMemoryCompact(m)}`)
.join("\n");
}
/**
* One-line confirmation for a write.
*
* `client.add` hits the async `/v3/memories/add/` endpoint, which returns
* `{ event_id, status: "PENDING" }` — extraction runs server-side *after* the
* call returns, so the extracted memories are not in this response. Report the
* write as queued in that case; only render a list when the backend actually
* returns memories (older / OSS shapes).
*/
export function formatAddResult(result: unknown): string {
const items: MemoryLike[] = Array.isArray(result)
? (result as MemoryLike[])
: ((result as { results?: MemoryLike[] } | null)?.results ??
(result ? [result as MemoryLike] : []));
const pending = items.find(
(r) => (r as { status?: string }).status === "PENDING",
) as { eventId?: string; event_id?: string } | undefined;
if (pending) {
// The SDK camel-cases response keys (event_id -> eventId); accept either.
const id = pending.eventId ?? pending.event_id;
const evt = id ? ` (event ${id})` : "";
return `Memory queued for background extraction${evt}; it will be searchable shortly.`;
}
if (items.length === 0) return "Memory stored.";
const noun = items.length === 1 ? "memory" : "memories";
return `Stored ${items.length} ${noun}:\n${formatMemoryList(items)}`;
}
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/**
* dsh-mem0: Mem0 long-term memory as a native DeepSeek Harness (Cordis) plugin.
*
* Registers two agent-callable tools backed by the Mem0 SDK:
* - `search_memory` recalls facts relevant to a query
* - `add_memory` stores a fact for future sessions
*
* A plugin is a Cordis module that exports `apply(ctx, config)`. Declaring
* `inject = ['tools']` holds the plugin until the harness tool registry exists;
* tools registered via `ctx.tools.register(...)` are auto-unregistered when the
* plugin unmounts (Cordis revertible effects).
*/
import type { Context } from "@deepseek-ai/cordis";
import { defineTool } from "@deepseek-ai/dsh-tools";
import { MemoryClient } from "mem0ai";
import { formatMemoryList, formatAddResult } from "./formatting.ts";
import { truncateOutput } from "./output.ts";
import { resolveSearchFilters, resolveAddParams } from "./scoping.ts";
export const name = "mem0";
export const inject = ["tools"];
// Tags writes so Mem0's backend attributes them to this integration in
// telemetry. The backend keeps recognized values via its KNOWN_EVENT_SOURCES
// allowlist; unknown values bucket into "OTHERS", so "DEEPSEEK_HARNESS" must be
// added to that allowlist for usage to surface by name (a one-line backend PR,
// same pattern as the ZAPIER / STRANDS sources).
const SOURCE = "DEEPSEEK_HARNESS";
const DEFAULT_SEARCH_LIMIT = 10;
export interface Config {
/** Mem0 API key. Defaults to the MEM0_API_KEY env var. */
apiKey?: string;
/** Default entity that owns the memories (Mem0 user scope). */
userId: string;
/** Optional Mem0 Platform base-URL override (on-prem / dedicated); defaults to api.mem0.ai. Not a switch to self-hosted OSS. */
host?: string;
}
// Both tools return a single text string; the render is identical, so lift it
// into one shared declaration instead of repeating the block per tool.
const textOutput = {
schema: { type: "string" } as const,
render: (_args: unknown, value: string) => [
{ type: "text" as const, text: value },
],
};
// Optional per-call scoping params, shared by both tools. A single harness
// install can serve more than one entity, so the model may override the
// mount-time default per call (see scoping.ts).
const scopeParams = {
userId: {
type: "string",
description:
"Entity that owns the memory. Defaults to the plugin's configured userId; set this only to read or write another user's memories.",
},
agentId: {
type: "string",
description: "Optional agent scope, to partition memories by agent.",
},
runId: {
type: "string",
description: "Optional run/session scope, to partition memories by session.",
},
} as const;
export function apply(ctx: Context, config: Config): void {
const apiKey = config.apiKey ?? process.env.MEM0_API_KEY;
if (!apiKey) {
throw new Error("dsh-mem0: set config.apiKey or the MEM0_API_KEY env var");
}
const userId = config.userId;
if (!userId) {
throw new Error("dsh-mem0: config.userId is required");
}
const client = new MemoryClient({
apiKey,
...(config.host ? { host: config.host } : {}),
});
// Recall. The platform rejects top-level entity params on search, so scope
// goes inside `filters` (unlike add below, which takes them top-level).
ctx.tools.register(
defineTool({
name: "search_memory",
description:
"Search the user's long-term Mem0 memory for facts relevant to a query. Use proactively before answering anything that may depend on what the user told you earlier.",
parameters: {
query: { type: "string", description: "What to recall.", required: true },
limit: {
type: "integer",
description: `Max results to return (default ${DEFAULT_SEARCH_LIMIT}).`,
},
...scopeParams,
},
output: textOutput,
async execute({ query, limit, userId: u, agentId, runId }) {
const filters = resolveSearchFilters({ userId: u, agentId, runId }, userId);
try {
const topK = limit && limit > 0 ? limit : DEFAULT_SEARCH_LIMIT;
const { results } = await client.search(query, { filters, topK });
return truncateOutput(formatMemoryList(results ?? []));
} catch (err) {
return `search_memory failed: ${err instanceof Error ? err.message : String(err)}`;
}
},
}),
);
// Write. `source` tags the memory for telemetry attribution.
ctx.tools.register(
defineTool({
name: "add_memory",
description:
"Store a fact in the user's long-term Mem0 memory for later sessions. Extraction runs asynchronously server-side, so a stored fact may take a moment to become searchable; do not immediately search to confirm the write.",
parameters: {
text: { type: "string", description: "The fact to remember.", required: true },
...scopeParams,
},
output: textOutput,
async execute({ text, userId: u, agentId, runId }) {
const addParams = resolveAddParams({ userId: u, agentId, runId }, userId);
try {
const result = await client.add([{ role: "user", content: text }], {
...addParams,
source: SOURCE,
});
return truncateOutput(formatAddResult(result));
} catch (err) {
return `add_memory failed: ${err instanceof Error ? err.message : String(err)}`;
}
},
}),
);
}
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/**
* Hard cap on tool output before it reaches the model context.
*
* Same guard the sibling plugins apply (200 lines / 50KB, see
* integrations/pi-agent-plugin/src/memory/tools.ts): a large recall or a wide
* result set can otherwise flood the context window in a single tool call.
*/
export const MAX_OUTPUT_LINES = 200;
export const MAX_OUTPUT_BYTES = 50_000;
export function truncateOutput(text: string): string {
const lines = text.split("\n");
if (lines.length <= MAX_OUTPUT_LINES && text.length <= MAX_OUTPUT_BYTES) {
return text;
}
const kept = lines.slice(0, MAX_OUTPUT_LINES);
let result = kept.join("\n");
const byteCapped = result.length > MAX_OUTPUT_BYTES;
if (byteCapped) {
result = result.slice(0, MAX_OUTPUT_BYTES);
}
const dropped = lines.length - kept.length;
const reasons: string[] = [];
if (dropped > 0) reasons.push(`showing ${kept.length} of ${lines.length} lines`);
if (byteCapped) reasons.push(`cut at ${Math.floor(MAX_OUTPUT_BYTES / 1000)}KB`);
if (reasons.length > 0) {
result += `\n\n[Output truncated: ${reasons.join(", ")}]`;
}
return result;
}
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/**
* Per-call memory scoping.
*
* The plugin is mounted with one default `userId`, but a single harness install
* can serve more than one entity, so both tools accept optional `userId` /
* `agentId` / `runId` params that override the mount-time default per call.
* A missing or blank param falls back to the configured user.
*
* The two call sites need different key casing, and it is deliberate rather than
* incidental: search passes scope inside `filters`, sent to the platform raw, so
* it must be snake_case; add takes the entity params top-level, through the
* SDK's camel->snake converter, so it must be camelCase. Keeping the split
* explicit (like integrations/pi-agent-plugin/src/memory/scoping.ts) means the
* asymmetry is visible in the code, not load-bearing on a converter no-op.
*/
export interface EntityParams {
userId?: string;
agentId?: string;
runId?: string;
}
const clean = (v: string | undefined) => v?.trim() || undefined;
/** Search: snake_case, spread into `filters` and passed to the platform raw. */
export function resolveSearchFilters(
params: EntityParams,
defaultUserId: string,
): Record<string, string> {
const filters: Record<string, string> = {
user_id: clean(params.userId) ?? defaultUserId,
};
const agentId = clean(params.agentId);
if (agentId) filters.agent_id = agentId;
const runId = clean(params.runId);
if (runId) filters.run_id = runId;
return filters;
}
/** Add: camelCase, top-level params run through the SDK's camel->snake converter. */
export function resolveAddParams(
params: EntityParams,
defaultUserId: string,
): Record<string, string> {
const out: Record<string, string> = {
userId: clean(params.userId) ?? defaultUserId,
};
const agentId = clean(params.agentId);
if (agentId) out.agentId = agentId;
const runId = clean(params.runId);
if (runId) out.runId = runId;
return out;
}
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import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
// Offline mock of the Mem0 SDK so these tests never touch the network.
const mockSearch = vi.fn();
const mockAdd = vi.fn();
vi.mock("mem0ai", () => ({
MemoryClient: class {
search = mockSearch;
add = mockAdd;
},
}));
// The real `@deepseek-ai/dsh-tools` runtime transitively imports harness peer
// packages the host provides at runtime but which aren't installed here. For
// these unit tests we only need `defineTool` to hand back the definition it was
// given, so the registered tool's `execute`/`name` can be exercised directly.
vi.mock("@deepseek-ai/dsh-tools", () => ({
defineTool: (options: unknown) => options,
}));
import { apply, type Config } from "../src/index.ts";
interface RegisteredTool {
name: string;
execute(args: unknown, exec: unknown): Promise<unknown>;
}
function applyAndCollect(config: Config): Map<string, RegisteredTool> {
const tools = new Map<string, RegisteredTool>();
const ctx = {
tools: { register: (t: RegisteredTool) => tools.set(t.name, t) },
};
apply(ctx as never, config);
return tools;
}
let savedKey: string | undefined;
beforeEach(() => {
savedKey = process.env.MEM0_API_KEY;
mockSearch.mockReset();
mockAdd.mockReset();
});
afterEach(() => {
if (savedKey === undefined) delete process.env.MEM0_API_KEY;
else process.env.MEM0_API_KEY = savedKey;
});
describe("apply() config validation", () => {
it("throws when no apiKey is set and MEM0_API_KEY is absent", () => {
delete process.env.MEM0_API_KEY;
expect(() => applyAndCollect({ userId: "u" } as Config)).toThrow(/apiKey|MEM0_API_KEY/);
});
it("throws when userId is missing", () => {
expect(() => applyAndCollect({ apiKey: "k", userId: "" } as Config)).toThrow(/userId/);
});
it("registers both memory tools", () => {
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
expect([...tools.keys()].sort()).toEqual(["add_memory", "search_memory"]);
});
});
describe("search_memory tool", () => {
it("returns a formatted list scoped to the configured user", async () => {
mockSearch.mockResolvedValue({
results: [{ id: "m1", memory: "Likes tea", categories: ["preference"] }],
});
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
const out = await tools.get("search_memory")!.execute({ query: "drink" }, {});
expect(out).toContain("Likes tea");
expect(out).toContain("[mem0:m1]");
expect(mockSearch).toHaveBeenCalledWith("drink", {
filters: { user_id: "u" },
topK: 10,
});
});
it("honors a per-call userId override and limit", async () => {
mockSearch.mockResolvedValue({ results: [] });
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
await tools.get("search_memory")!.execute({ query: "x", userId: "alice", limit: 3 }, {});
expect(mockSearch).toHaveBeenCalledWith("x", {
filters: { user_id: "alice" },
topK: 3,
});
});
it("returns a graceful failure line instead of rejecting on error", async () => {
mockSearch.mockRejectedValue(new Error("network down"));
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
const out = await tools.get("search_memory")!.execute({ query: "x" }, {});
expect(out).toContain("search_memory failed");
expect(out).toContain("network down");
});
});
describe("add_memory tool", () => {
it("reports the write as queued on the async PENDING response, with camelCase scope + source", async () => {
// The real /v3/memories/add/ response — not an array of memories. The SDK
// camel-cases response keys, so it surfaces as `eventId`, not `event_id`.
mockAdd.mockResolvedValue({ eventId: "evt-123", status: "PENDING" });
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
const out = await tools.get("add_memory")!.execute({ text: "remember this" }, {});
expect(out).toContain("queued");
expect(out).toContain("evt-123");
expect(out).not.toContain("No new distinct memory");
expect(mockAdd).toHaveBeenCalledWith(
[{ role: "user", content: "remember this" }],
{ userId: "u", source: "DEEPSEEK_HARNESS" },
);
});
it("renders a list when the backend returns memories", async () => {
mockAdd.mockResolvedValue([{ id: "m1", memory: "Fact" }]);
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
const out = await tools.get("add_memory")!.execute({ text: "x" }, {});
expect(out).toContain("Stored 1 memory");
expect(out).toContain("[mem0:m1]");
});
it("returns a graceful failure line on error", async () => {
mockAdd.mockRejectedValue(new Error("boom"));
const tools = applyAndCollect({ apiKey: "k", userId: "u" });
const out = await tools.get("add_memory")!.execute({ text: "x" }, {});
expect(out).toContain("add_memory failed");
expect(out).toContain("boom");
});
});
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import { describe, it, expect } from "vitest";
import {
formatAge,
formatMemoryCompact,
formatMemoryList,
formatAddResult,
} from "../src/formatting.ts";
describe("formatAge", () => {
it("formats minutes, hours, and days", () => {
expect(formatAge(new Date(Date.now() - 30 * 60_000))).toBe("30m ago");
expect(formatAge(new Date(Date.now() - 3 * 3_600_000))).toBe("3h ago");
expect(formatAge(new Date(Date.now() - 5 * 86_400_000))).toBe("5d ago");
});
});
describe("formatMemoryCompact", () => {
it("renders one line with category, text, and id", () => {
const line = formatMemoryCompact({
id: "abc-123",
memory: "User prefers dark mode",
categories: ["preference"],
createdAt: new Date(),
});
expect(line).toContain("[preference]");
expect(line).toContain("User prefers dark mode");
expect(line).toContain("[mem0:abc-123]");
});
it("falls back to uncategorized and (empty)", () => {
expect(formatMemoryCompact({ id: "x" })).toContain("[uncategorized]");
expect(formatMemoryCompact({ id: "x" })).toContain("(empty)");
});
});
describe("formatMemoryList", () => {
it("numbers multiple memories", () => {
const output = formatMemoryList([
{ id: "id-1", memory: "Fact one", categories: ["insight"] },
{ id: "id-2", memory: "Fact two", categories: ["convention"] },
]);
expect(output).toContain("1.");
expect(output).toContain("2.");
});
it("returns a plain message when there are no memories", () => {
expect(formatMemoryList([])).toBe("No memories found.");
});
});
describe("formatAddResult", () => {
it("reports queued for the async PENDING response, with the event id", () => {
// SDK camel-cases response keys, so the real shape is `eventId`.
const out = formatAddResult({ eventId: "evt-9", status: "PENDING" });
expect(out).toContain("queued");
expect(out).toContain("evt-9");
});
it("reports the stored count when the backend returns memories", () => {
expect(formatAddResult([{ id: "1", memory: "A" }])).toContain("Stored 1 memory");
expect(formatAddResult([{ id: "1" }, { id: "2" }])).toContain("Stored 2 memories");
});
it("unwraps a { results: [...] } envelope", () => {
expect(formatAddResult({ results: [{ id: "1", memory: "A" }] })).toContain("Stored 1 memory");
});
it("handles an empty result", () => {
expect(formatAddResult([])).toBe("Memory stored.");
});
});
@@ -0,0 +1,30 @@
import { describe, it, expect } from "vitest";
import { truncateOutput, MAX_OUTPUT_LINES } from "../src/output.ts";
describe("truncateOutput", () => {
it("passes small output through untouched", () => {
expect(truncateOutput("a\nb\nc")).toBe("a\nb\nc");
});
it("caps output at MAX_OUTPUT_LINES and appends a notice", () => {
const many = Array.from({ length: MAX_OUTPUT_LINES + 50 }, (_, i) => `line ${i}`).join("\n");
const out = truncateOutput(many);
expect(out.split("\n").length).toBeLessThanOrEqual(MAX_OUTPUT_LINES + 3);
expect(out).toContain("[Output truncated:");
expect(out).toContain(`of ${MAX_OUTPUT_LINES + 50} lines`);
});
it("caps output that is few lines but very large by bytes", () => {
const huge = "x".repeat(60_000);
const out = truncateOutput(huge);
expect(out.length).toBeLessThan(huge.length);
expect(out).toContain("[Output truncated:");
});
it("reports both reasons when the line cap and the byte cap fire together", () => {
const wide = Array.from({ length: MAX_OUTPUT_LINES + 50 }, () => "x".repeat(300)).join("\n");
const out = truncateOutput(wide);
expect(out).toContain(`of ${MAX_OUTPUT_LINES + 50} lines`);
expect(out).toContain("cut at 50KB");
});
});
@@ -0,0 +1,44 @@
import { describe, it, expect } from "vitest";
import { resolveSearchFilters, resolveAddParams } from "../src/scoping.ts";
describe("resolveSearchFilters (snake_case, for filters)", () => {
it("falls back to the configured default userId", () => {
expect(resolveSearchFilters({}, "default-user")).toEqual({ user_id: "default-user" });
});
it("lets a per-call userId override the default", () => {
expect(resolveSearchFilters({ userId: "alice" }, "default-user")).toEqual({
user_id: "alice",
});
});
it("treats a blank/whitespace userId as absent and falls back", () => {
expect(resolveSearchFilters({ userId: " " }, "default-user")).toEqual({
user_id: "default-user",
});
});
it("includes snake_case agent/run scope only when provided", () => {
expect(
resolveSearchFilters({ userId: "alice", agentId: "agent-1", runId: "run-9" }, "d"),
).toEqual({ user_id: "alice", agent_id: "agent-1", run_id: "run-9" });
});
it("omits blank agent/run scope", () => {
const f = resolveSearchFilters({ agentId: " ", runId: "run-9" }, "default");
expect(f).toEqual({ user_id: "default", run_id: "run-9" });
expect(f).not.toHaveProperty("agent_id");
});
});
describe("resolveAddParams (camelCase, for top-level add params)", () => {
it("uses camelCase keys and falls back to the default userId", () => {
expect(resolveAddParams({}, "default-user")).toEqual({ userId: "default-user" });
});
it("includes camelCase agent/run scope only when provided", () => {
expect(
resolveAddParams({ userId: "alice", agentId: "agent-1", runId: "run-9" }, "d"),
).toEqual({ userId: "alice", agentId: "agent-1", runId: "run-9" });
});
});
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{
"compilerOptions": {
"target": "ES2022",
"module": "ES2022",
"moduleResolution": "bundler",
"lib": ["ES2022"],
"declaration": true,
"outDir": "dist",
"rootDir": "src",
"strict": true,
"types": ["node"],
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true,
"isolatedModules": true,
"verbatimModuleSyntax": true,
"allowImportingTsExtensions": true,
"noEmit": true
},
"include": ["src"],
"exclude": ["node_modules", "dist", "**/*.test.ts"]
}
+12
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import { defineConfig } from "tsup";
export default defineConfig({
entry: ["src/index.ts"],
format: ["esm"],
dts: true,
sourcemap: true,
clean: true,
// The harness runtime and the Mem0 SDK are provided by the host / installed
// separately; keep them out of the bundle.
external: [/^node:/, /^@deepseek-ai\//, "mem0ai", /^mem0ai\//],
});