In Aktion ansehen
Vercel AI SDK: wrapped text generation with memory
Complete author generateText recipe using createMem0 and Alice-scoped memory. Requires the declared provider 3.x / AI SDK 6.x environment and Mem0 plus LLM-provider keys. The wrapper sends the prompt for memory extraction, searches relevant memories and then calls the configured model; extraction may still be pending.
Beispieleingabe
import { generateText } from "ai";
import { createMem0 } from "@mem0/vercel-ai-provider";
const mem0 = createMem0();
const { text } = await generateText({
model: mem0("gpt-5-mini", { user_id: "alice" }),
prompt: "Recommend a restaurant based on my preferences",
});
console.log(text);Lizenz
Original source text retained; four-space Markdown code indentation normalized only for copyability where applicable. Full source license retained. Author recipes, placeholders and illustrative scorecard are not independently reproduced site results. No source instructions, provider requests, integration, installation, account creation, branch workflow or upstream subagents were executed.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
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5. Submission of Contributions. Unless You explicitly state otherwise,
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this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
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6. Trademarks. This License does not grant permission to use the trade
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7. Disclaimer of Warranty. Unless required by applicable law or
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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.
Vercel AI SDK: retrieve, generate and store explicitly
Complete author standalone OpenAI recipe: retrieve a memory-based system prompt, generate a weekend-trip response, then store both user and assistant messages. Requires the configured API keys and packages. The gpt-5-mini identifier and alice scope are source example configuration; no generated response or site test is claimed.
Beispieleingabe
import { openai } from "@ai-sdk/openai";
import { generateText } from "ai";
import { retrieveMemories, addMemories } from "@mem0/vercel-ai-provider";
const user_id = "alice";
const prompt = "Suggest a weekend trip";
// Step 1: Retrieve memories as a formatted system prompt
const memories = await retrieveMemories(prompt, {
user_id: user_id,
});
// Step 2: Generate with the memories injected as system context
const { text } = await generateText({
model: openai("gpt-5-mini"),
prompt,
system: memories,
});
console.log(text);
// Step 3: Store the conversation as new memories
await addMemories(
[
{ role: "user", content: [{ type: "text", text: prompt }] },
{ role: "assistant", content: [{ type: "text", text }] },
],
{ user_id: user_id }
);Lizenz
Original source text retained; four-space Markdown code indentation normalized only for copyability where applicable. Full source license retained. Author recipes, placeholders and illustrative scorecard are not independently reproduced site results. No source instructions, provider requests, integration, installation, account creation, branch workflow or upstream subagents were executed.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
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"Legal Entity" shall mean the union of the acting entity and all
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"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
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limited to compiled object code, generated documentation, and
conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work.
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to the Licensor for inclusion in the Work by the copyright owner
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the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by the Licensor and
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2. Grant of Copyright License. Subject to the terms and conditions of
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copyright license to reproduce, prepare Derivative Works of,
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(except as stated in this section) patent license to make, have made,
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institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding any notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
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has been advised of the possibility of such damages.
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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
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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.
Verwendung
- Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
- Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
- Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/mem0ai/mem0 --skill mem0-vercel-ai-sdkVor dem Start
- Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
- Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.
Mem0 Vercel AI SDK Provider
Memory-enhanced AI provider for Vercel AI SDK. Automatically retrieves and stores memories during LLM calls.
Step 1: Install
npm install @mem0/vercel-ai-provider ai@^6ai and the @ai-sdk/* provider packages ship as regular dependencies of @mem0/vercel-ai-provider, so nothing else needs installing. The only peer dependency is zod (optional, ^3.0.0).
Step 2: Set up environment variables
export MEM0_API_KEY="m0-xxx"
export OPENAI_API_KEY="sk-xxx" # or ANTHROPIC_API_KEY, GOOGLE_API_KEY, etc.Get a Mem0 API key at: https://app.mem0.ai/dashboard/api-keys?utmsource=oss&utmmedium=skill-mem0-vercel-ai-sdk
Pattern 1: Wrapped Model
The wrapped model approach is the simplest. createMem0 returns a provider that wraps any supported LLM with automatic memory retrieval and storage.
import { generateText } from "ai";
import { createMem0 } from "@mem0/vercel-ai-provider";
const mem0 = createMem0();
const { text } = await generateText({
model: mem0("gpt-5-mini", { user_id: "alice" }),
prompt: "Recommend a restaurant",
});What happens under the hood:
- The prompt is stored to Mem0 (
POST /v3/memories/add/), awaited before the LLM call (a failed write is logged and ignored) - The prompt is sent to Mem0 search (
POST /v3/memories/search/) to retrieve relevant memories - If any memories are found, they are injected as a system message at the start of the prompt
- The underlying LLM (e.g., OpenAI gpt-5-mini) generates a response using the enriched prompt
For generateText, the retrieved memories are also attached to the result as a source:
const { text, sources } = await generateText({
model: mem0("gpt-5-mini", { user_id: "alice" }),
prompt: "Recommend a restaurant",
});
console.log(sources.find((s) => s.title === "Mem0 Memories")?.providerMetadata?.mem0);The source has title: "Mem0 Memories" and providerMetadata.mem0 holds memories (array of memory objects) and memoriesText. It is only present when at least one memory was retrieved.
Pattern 2: Standalone Utilities
Use standalone utilities when you want full control over the memory retrieve/store cycle, or you want to use a provider that is already configured separately.
import { openai } from "@ai-sdk/openai";
import { generateText } from "ai";
import { retrieveMemories, addMemories } from "@mem0/vercel-ai-provider";
const prompt = "Recommend a restaurant";
// Retrieve memories -- returns a formatted system prompt string
const memories = await retrieveMemories(prompt, {
user_id: "alice",
mem0ApiKey: "m0-xxx",
});
// Generate using any provider with injected memories
const { text } = await generateText({
model: openai("gpt-5-mini"),
prompt,
system: memories,
});
// Optionally store the conversation back
await addMemories(
[
{ role: "user", content: [{ type: "text", text: prompt }] },
{ role: "assistant", content: [{ type: "text", text }] },
],
{ user_id: "alice", mem0ApiKey: "m0-xxx" }
);Pattern 3: Streaming
Use streamText for streaming responses with memory augmentation:
import { streamText } from "ai";
import { createMem0 } from "@mem0/vercel-ai-provider";
const mem0 = createMem0();
const result = streamText({
model: mem0("gpt-5-mini", { user_id: "alice" }),
prompt: "What should I cook for dinner?",
});
for await (const chunk of result.textStream) {
process.stdout.write(chunk);
}The wrapped model stores the conversation and retrieves memories before streaming begins.
Supported Providers
| Provider | Config value | Required env var |
|---|---|---|
| OpenAI (default) | "openai" | OPENAI_API_KEY |
| Anthropic | "anthropic" | ANTHROPIC_API_KEY |
"google" (alias "gemini") | GOOGLE_GENERATIVE_AI_API_KEY | |
| Groq | "groq" | GROQ_API_KEY |
| Cohere | "cohere" | COHERE_API_KEY |
Select a provider when creating the Mem0 instance:
const mem0 = createMem0({ provider: "anthropic" });
const { text } = await generateText({
model: mem0("claude-sonnet-4-20250514", { user_id: "alice" }),
prompt: "Hello!",
});How It Works Internally
Wrapped model flow
User prompt
--> processMemories: addMemories (POST /v3/memories/add/, awaited)
--> processMemories: getMemories (POST /v3/memories/search/)
--> memories (if any) injected as system message at start of prompt
--> underlying LLM generates response (doGenerate or doStream)
--> response returned to caller (doGenerate also attaches a "Mem0 Memories" source)Standalone flow
User controls each step:
1. retrieveMemories / getMemories / searchMemories -> fetch memories
2. inject into system prompt manually
3. call generateText / streamText with any provider
4. addMemories -> store new conversation to Mem0Key Differences Between the 4 Utility Functions
| Function | Returns | Use when |
|---|---|---|
retrieveMemories | Formatted system prompt string | Injecting directly into system parameter |
getMemories | Raw memory array | Processing memories programmatically |
searchMemories | Raw search response (as returned by the API) | Need scores and full metadata |
addMemories | API response | Storing new messages to Mem0 |
retrieveMemories, getMemories, and searchMemories accept LanguageModelV3Prompt | string as the first argument; addMemories is typed as LanguageModelV3Prompt (a string also works at runtime). All four take optional Mem0ConfigSettings as the second argument.
Common Edge Cases and Tips
- Always provide `user_id` (or
agent_id/app_id/run_id) for consistent memory retrieval. The search endpoint requires at least one entity ID infilters; the provider places these IDs there for you. - Standalone utilities require explicit API key: pass
mem0ApiKeyin the config object, or set theMEM0_API_KEYenvironment variable. - This uses Vercel AI SDK v6 (LanguageModelV3 / ProviderV3 interfaces,
@mem0/vercel-ai-provider3.x). Provider 2.x targeted AI SDK v5. It is not compatible with AI SDK v4 or earlier. - `processMemories` awaits `addMemories` before searching and calling the LLM, so each wrapped call includes one memory write and one memory search. If either request fails, the error is logged and the LLM call proceeds without memories.
- `"google"` and `"gemini"` are both accepted and map to
@ai-sdk/google. - Removed in 3.0.0:
org_id,project_id,org_name,project_name,output_format,filter_memories,async_mode,enable_graph,version,api_version. Graph memory is now a Mem0 Platform project setting, not a provider option. - Default `top_k` is 10.
thresholdandrerankare only sent when set (the API default forrerankisfalse;thresholdis a server-side cutoff, not a floor on the returned score). - Custom host: set
hostin the config to point to a different Mem0 API endpoint (default:https://api.mem0.ai).
References
| Topic | File |
|---|---|
Provider API (createMem0, Mem0Provider, types) | local / GitHub |
Memory utilities (addMemories, retrieveMemories, etc.) | local / GitHub |
| Usage patterns and examples | local / GitHub |



