Zobacz w działaniu
Mem0: see a preference become two memories
An original 2024 playground capture shows a weekend-walk preference and San Francisco location becoming two memories. The complete visible message and reply are transcribed below. Its GPT-4o-mini selector describes the captured interface.

Przykładowe dane
I like to go on long walks on weekend. I live in San Francisco.Przykładowy wynik
That sounds lovely! San Francisco has some beautiful spots for long walks, like the Golden Gate Park, the Embarcadero, and Lands End. Do you have a favorite place to walk, or are you looking for new suggestions?Licencja
Complete original license and any source copyright retained. Source-authored examples are separate from site-reproduced results; no original scripts, installations, model/API requests, account creation, memory writes, graph queries or tests were executed. Complete visible messages/queries and selected replies are manually transcribed from the native author image; turn labels only identify sequence. Platform MemoryClient recipes require MEM0_API_KEY; the separate OSS Memory recipe uses its own provider/storage configuration. Original PNG converted at native resolution to lossless WebP with identical decoded RGBA; no crop, retouch or upscaling.
Apache License
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http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
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END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
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Copyright [2023] [Taranjeet Singh]
Licensed under the Apache License, Version 2.0 (the "License");
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Mem0: see a later answer use the saved context
The author’s companion capture uses the saved San Francisco and walking preferences to answer a Sunday-morning question. Read the complete visible exchange below and compare it with the memory list. This retained playground session is separate from the SDK recipes.

Przykładowe dane
What can I do this Sunday morning?Przykładowy wynik
This Sunday morning, you could go for a long walk around San Francisco. The city has beautiful parks and scenic views, such as Golden Gate Park or the Embarcadero, where you can enjoy the fresh air and take in the sights. If you’re in the mood for something a bit different, you might also explore one of the neighborhoods you haven’t visited in a while. Enjoy your morning!Licencja
Complete original license and any source copyright retained. Source-authored examples are separate from site-reproduced results; no original scripts, installations, model/API requests, account creation, memory writes, graph queries or tests were executed. Complete visible messages/queries and selected replies are manually transcribed from the native author image; turn labels only identify sequence. Platform MemoryClient recipes require MEM0_API_KEY; the separate OSS Memory recipe uses its own provider/storage configuration. Original PNG converted at native resolution to lossless WebP with identical decoded RGBA; no crop, retouch or upscaling.
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,
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"You" (or "Your") shall mean an individual or Legal Entity
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including but not limited to software source code, documentation
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"Work" shall mean the work of authorship, whether in Source or
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Licensor for the purpose of discussing and improving the Work, but
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within such NOTICE file, excluding those notices that do not
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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
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the terms of any separate license agreement you may have executed
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6. Trademarks. This License does not grant permission to use the trade
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except as required for reasonable and customary use in describing the
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Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
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whether in tort (including negligence), contract, or otherwise,
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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
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
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the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
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same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [2023] [Taranjeet Singh]
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
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Unless required by applicable law or agreed to in writing, software
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Mem0 Skill: preserve context across application turns
The original Skill’s complete function follows retrieve → generate → store for each user. It uses the hosted Platform MemoryClient with the source-configured gpt-5-mini model, so configure MEM0_API_KEY and model-provider access. The separate OSS recipe on the Product page uses the Memory class.
Przykładowe dane
from mem0 import MemoryClient
from openai import OpenAI
mem0 = MemoryClient()
openai = OpenAI()
def chat(user_input: str, user_id: str) -> str:
# 1. Retrieve relevant memories
memories = mem0.search(user_input, filters={"user_id": user_id})
context = "\n".join([m["memory"] for m in memories.get("results", [])])
# 2. Generate response with memory context
response = openai.chat.completions.create(
model="gpt-5-mini",
messages=[
{"role": "system", "content": f"User context:\n{context}"},
{"role": "user", "content": user_input},
]
)
reply = response.choices[0].message.content
# 3. Store interaction for future context
mem0.add(
[{"role": "user", "content": user_input}, {"role": "assistant", "content": reply}],
user_id=user_id
)
return replyLicencja
Complete original license and any source copyright retained. Source-authored examples are separate from site-reproduced results; no original scripts, installations, model/API requests, account creation, memory writes, graph queries or tests were executed. Platform MemoryClient recipes require MEM0_API_KEY; the separate OSS Memory recipe uses its own provider/storage configuration.
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
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"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
transformation or translation of a Source form, including but not
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
or by an individual or Legal Entity authorized to submit on behalf of
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
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
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
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.
Mem0 Skill: organize support interactions by category
The full author reference creates project categories, records two sample support interactions and retrieves billing-scoped memories for the same user. It demonstrates category filters and metadata. Use an existing Platform project with permission to update its settings; the source supplies example values rather than real customer records.
Przykładowe dane
from mem0 import MemoryClient
client = MemoryClient()
# 1. Define categories at the project level (one-time setup)
custom_categories = [
{"support_tickets": "Customer issues and resolutions"},
{"account_info": "Account details and preferences"},
{"billing": "Payment history and billing questions"},
{"product_feedback": "Feature requests and feedback"},
]
client.project.update(custom_categories=custom_categories)
# 2. Store interactions — auto-classified into categories
def log_support_interaction(user_id: str, message: str, priority: str = "normal"):
client.add(
[{"role": "user", "content": message}],
user_id=user_id,
metadata={"priority": priority, "source": "support_chat"}
)
# 3. Retrieve by category
def get_billing_issues(user_id: str):
return client.get_all(
filters={
"AND": [
{"user_id": user_id},
{"categories": {"in": ["billing"]}}
]
}
)
def search_support_history(user_id: str, query: str):
return client.search(
query,
filters={
"AND": [
{"user_id": user_id},
{"categories": {"contains": "support_tickets"}}
]
},
top_k=5
)
# Usage
log_support_interaction("maria", "I was charged twice for last month's subscription", priority="high")
log_support_interaction("maria", "The dashboard is loading slowly on mobile")
billing = get_billing_issues("maria") # Returns only billing-related memoriesLicencja
Complete original license and any source copyright retained. Source-authored examples are separate from site-reproduced results; no original scripts, installations, model/API requests, account creation, memory writes, graph queries or tests were executed. Platform MemoryClient recipes require MEM0_API_KEY; the separate OSS Memory recipe uses its own provider/storage configuration.
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Jak używać
- Skopiuj polecenie instalacji i sprawdź źródła przed instalacją we własnym środowisku agenta.
- W oryginale sprawdź wymagane narzędzia, dane dostępowe i obsługiwane środowiska.
- Opisz dane wejściowe i oczekiwany rezultat; porównaj wynik ze źródłami.
npx skills add https://github.com/mem0ai/mem0 --skill mem0Przed rozpoczęciem
- Instalacja nie obejmuje subskrypcji modelu, limitu API ani uprawnień do plików.
- Gwiazdki i instalacje pokazują aktywność, a nie niezależny test jakości lub bezpieczeństwa.
Treść z repozytorium z zachowaniem nagłówków, przykładów, kodu, tabel, linków i obrazów.
Mem0 Platform Integration
Skill Graph: This skill is part of the Mem0 skill graph: - mem0 (this skill) -- Platform Client SDK + OSS (Python + TypeScript) - [mem0-cli](../mem0-cli/SKILL.md) (GitHub) -- Command-line interface - [mem0-vercel-ai-sdk](../mem0-vercel-ai-sdk/SKILL.md) (GitHub) -- Vercel AI SDK provider
Mem0 is a managed memory layer for AI applications. It stores, retrieves, and manages user memories via API — no infrastructure to deploy. For self-hosted usage, see the OSS section in the client references below.
Step 1: Install and authenticate
Python:
pip install mem0ai
export MEM0_API_KEY="m0-your-api-key"TypeScript/JavaScript:
npm install mem0ai
export MEM0_API_KEY="m0-your-api-key"Get an API key at: https://app.mem0.ai/dashboard/api-keys?utmsource=oss&utmmedium=skill-mem0
Don't have a `MEM0_API_KEY`? Runmem0 init --agent --agent-caller <your-name> --json(afterpip install mem0-cliornpm install -g @mem0/cli), substituting your agent identity (e.g.claude-code,cursor). If you forgot to pass--agent-caller, runmem0 identify <your-name>after init. The human can claim later withmem0 init --email <your-email>.
Step 2: Initialize the client
Python:
from mem0 import MemoryClient
client = MemoryClient(api_key="m0-xxx")TypeScript:
import MemoryClient from 'mem0ai';
const client = new MemoryClient({ apiKey: 'm0-xxx' });For async Python, use AsyncMemoryClient.
Step 3: Core operations
Every Mem0 integration follows the same pattern: retrieve → generate → store.
Add memories
messages = [
{"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
{"role": "assistant", "content": "Got it! I'll remember that."}
]
client.add(messages, user_id="alice")Search memories
results = client.search("dietary preferences", filters={"user_id": "alice"})
for mem in results.get("results", []):
print(mem["memory"])Get all memories
all_memories = client.get_all(filters={"user_id": "alice"})Update a memory
client.update("memory-uuid", text="Updated: vegetarian, nut allergy, prefers organic")Delete a memory
client.delete("memory-uuid")
client.delete_all(user_id="alice") # delete all for a userCommon integration pattern
from mem0 import MemoryClient
from openai import OpenAI
mem0 = MemoryClient()
openai = OpenAI()
def chat(user_input: str, user_id: str) -> str:
# 1. Retrieve relevant memories
memories = mem0.search(user_input, filters={"user_id": user_id})
context = "\n".join([m["memory"] for m in memories.get("results", [])])
# 2. Generate response with memory context
response = openai.chat.completions.create(
model="gpt-5-mini",
messages=[
{"role": "system", "content": f"User context:\n{context}"},
{"role": "user", "content": user_input},
]
)
reply = response.choices[0].message.content
# 3. Store interaction for future context
mem0.add(
[{"role": "user", "content": user_input}, {"role": "assistant", "content": reply}],
user_id=user_id
)
return replyCommon edge cases
- Search returns empty:
add()is asynchronous and returns{"event_id": "...", "status": "PENDING"}(eventIdon the TS client). Memories are searchable once the event isSUCCEEDED(pollGET /v1/event/{event_id}/, or wait a few seconds).infer=Falseis synchronous. Also verifyuser_idmatches exactly (case-sensitive) and usefilters={"user_id": "..."}syntax. - AND filter with user_id + agent_id returns empty: Entities are stored separately. Use
ORinstead, or query separately. - Duplicate memories: Don't mix
infer=True(default) andinfer=Falsefor the same data. Stick to one mode. - Wrong import: For the hosted Platform use
from mem0 import MemoryClient(orAsyncMemoryClientfor async).from mem0 import Memoryis the self-hosted OSS class and does not useMEM0_API_KEY. - v3 defaults (Platform):
top_k=10,rerank=False.thresholdis a server-side cutoff applied before score blending, not a floor on the returnedscore(the default and0.0return the same or nearly the same results). The client sends none of these unless you pass them. The OSSMemory.search()default istop_k=20. Adjust as needed for your use case.
v2 Compatibility
The "v2" line is Python SDK 1.x and TypeScript SDK 2.x. If you are still on it, note these differences from the current SDKs (Python 2.x, TypeScript 3.x):
- Entity IDs:
user_id/agent_id/run_idcould be top-level kwargs onsearch()andget_all(). They now go insidefilters(top-level raises an error) - Defaults (Platform):
threshold=0.3,rerank=False. OSS:top_k=100, no threshold,rerank=True - Graph memory:
enable_graph=Trueandrelationsare gone. Entity linking is built in (see client/python.md for OSS)
See the Platform migration guide and the OSS migration guide for details.
Live documentation search
For the latest docs beyond what's in the references, use the doc search tool:
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --query "topic"
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --page "/platform/features/graph-memory"
python ${CLAUDE_SKILL_DIR}/scripts/mem0_doc_search.py --indexNo API key needed — searches docs.mem0.ai directly.
Client SDK References
Language-specific deep references (Platform + OSS):
| Language | File |
|---|---|
| Python (MemoryClient + AsyncMemoryClient + Memory OSS) | client/python.md |
| TypeScript/Node.js (MemoryClient + Memory OSS) | client/node.md |
| Python vs TypeScript differences | client/differences.md |
Platform References
Load these on demand for deeper detail:
| Topic | File |
|---|---|
| Quickstart (Python, TS, cURL) | references/quickstart.md |
| SDK guide (all methods, both languages) | references/sdk-guide.md |
| API reference (endpoints, filters, object schema) | references/api-reference.md |
| Architecture (pipeline, lifecycle, scoping, performance) | references/architecture.md |
| Platform features (retrieval, graph, categories, MCP, etc.) | references/features.md |
| Framework integrations (LangChain, CrewAI, OpenAI Agents, etc.) | references/integration-patterns.md |
| Use cases & examples (real-world patterns with code) | references/use-cases.md |



