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9 Commits

Author SHA1 Message Date
Saket Aryan 32b74e18b7 feat(cli): migrate Python and Node CLIs to v3 API routes (#4916) 2026-04-22 15:20:38 +05:30
Gabriel Stein daa4495583 docs(claude-code): split marketplace install into two separate steps (#4915) 2026-04-22 03:32:31 +05:30
Kabir Kohli cfb5f1776e chore(security): bump vulnerable dependencies to patched versions (#4835) 2026-04-21 01:27:13 +05:30
jessai2099 573e5212a4 fix(vector-stores): add agent_id and run_id to Elasticsearch/OpenSearch default mappings (#4906)
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-20 23:10:59 +05:30
Yarizakura 8ba225cec8 fix: merge same-key operator dicts in AND metadata filters (#4853) 2026-04-20 21:54:02 +05:30
mintlify[bot] 4b09943092 Fix broken link in delete memory docs (#4894)
Co-authored-by: mintlify[bot] <109931778+mintlify[bot]@users.noreply.github.com>
2026-04-20 21:19:30 +05:30
Kartik 4e611e8dba docs: update memory tool list, CLI usage, and config file reading logic (#4861)
Co-authored-by: Livia Ellen <liviaellen@msn.com>
2026-04-20 20:09:45 +05:30
Kartik 5520226b5b fix: updating docs with v3 integrations updates (#4898) 2026-04-20 18:54:21 +05:30
Saket Aryan 00695e3113 ci(sdk): require changelog entry on version bump + harden TS telemetry (#4900) 2026-04-20 18:09:03 +05:30
151 changed files with 6573 additions and 15845 deletions
+40
View File
@@ -14,8 +14,48 @@ on:
- 'mem0/**'
- 'tests/**'
- 'embedchain/**'
- 'pyproject.toml'
jobs:
changelog_check:
if: github.event_name == 'pull_request'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Require CHANGELOG entry when Python SDK version changes
env:
BASE_SHA: ${{ github.event.pull_request.base.sha }}
HEAD_SHA: ${{ github.event.pull_request.head.sha }}
run: |
set -euo pipefail
extract_version() {
python3 -c "import sys, re; m = re.search(r'^\s*version\s*=\s*\"([^\"]+)\"', sys.stdin.read(), re.M); print(m.group(1) if m else '')"
}
base_version=$(git show "$BASE_SHA:pyproject.toml" 2>/dev/null | extract_version || echo "")
head_version=$(extract_version < pyproject.toml)
echo "Base version: ${base_version:-<unknown>}"
echo "Head version: $head_version"
if [ -z "$base_version" ] || [ "$base_version" = "$head_version" ]; then
echo "pyproject.toml version unchanged — no CHANGELOG entry required."
exit 0
fi
echo "Detected version bump ${base_version} -> ${head_version}. Checking docs/changelog/sdk.mdx…"
if git diff --name-only "$BASE_SHA" "$HEAD_SHA" -- docs/changelog/sdk.mdx | grep -q .; then
echo "Changelog update present in docs/changelog/sdk.mdx ✅"
else
echo "::error file=pyproject.toml::pyproject.toml version changed from ${base_version} to ${head_version} but docs/changelog/sdk.mdx was not updated in this PR. Add a new <Update> entry under the Python tab for v${head_version}."
exit 1
fi
check_changes:
runs-on: ubuntu-latest
outputs:
+36
View File
@@ -24,6 +24,42 @@ jobs:
ts_sdk:
- 'mem0-ts/**'
changelog_check:
needs: check_changes
if: github.event_name == 'pull_request' && needs.check_changes.outputs.ts_sdk_changed == 'true'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Require CHANGELOG entry when SDK version changes
env:
BASE_SHA: ${{ github.event.pull_request.base.sha }}
HEAD_SHA: ${{ github.event.pull_request.head.sha }}
run: |
set -euo pipefail
base_version=$(git show "$BASE_SHA:mem0-ts/package.json" 2>/dev/null | jq -r .version || echo "")
head_version=$(jq -r .version mem0-ts/package.json)
echo "Base version: ${base_version:-<unknown>}"
echo "Head version: $head_version"
if [ -z "$base_version" ] || [ "$base_version" = "$head_version" ]; then
echo "mem0-ts/package.json version unchanged — no CHANGELOG entry required."
exit 0
fi
echo "Detected version bump ${base_version} -> ${head_version}. Checking docs/changelog/sdk.mdx…"
if git diff --name-only "$BASE_SHA" "$HEAD_SHA" -- docs/changelog/sdk.mdx | grep -q .; then
echo "Changelog update present in docs/changelog/sdk.mdx ✅"
else
echo "::error file=mem0-ts/package.json::mem0-ts/package.json version changed from ${base_version} to ${head_version} but docs/changelog/sdk.mdx was not updated in this PR. Add a new <Update> entry under the TypeScript tab for v${head_version}."
exit 1
fi
build_ts_sdk:
needs: check_changes
if: needs.check_changes.outputs.ts_sdk_changed == 'true'
-3
View File
@@ -42,9 +42,6 @@ clean:
test:
hatch run test
test-py-3.9:
hatch run dev_py_3_9:test
test-py-3.10:
hatch run dev_py_3_10:test
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@mem0/cli",
"version": "0.2.3",
"version": "0.2.4",
"description": "The official CLI for mem0 — the memory layer for AI agents",
"type": "module",
"bin": {
-3
View File
@@ -15,7 +15,6 @@ export interface AddOptions {
infer?: boolean;
expires?: string;
categories?: string[];
enableGraph?: boolean;
}
export interface SearchOptions {
@@ -29,7 +28,6 @@ export interface SearchOptions {
keyword?: boolean;
filters?: Record<string, unknown>;
fields?: string[];
enableGraph?: boolean;
}
export interface ListOptions {
@@ -42,7 +40,6 @@ export interface ListOptions {
category?: string;
after?: string;
before?: string;
enableGraph?: boolean;
}
export interface DeleteOptions {
+3 -6
View File
@@ -115,10 +115,9 @@ export class PlatformBackend implements Backend {
if (opts.infer === false) payload.infer = false;
if (opts.expires) payload.expiration_date = opts.expires;
if (opts.categories) payload.categories = opts.categories;
if (opts.enableGraph) payload.enable_graph = true;
payload.source = "CLI";
return (await this._request("POST", "/v1/memories/", {
return (await this._request("POST", "/v3/memories/add/", {
json: payload,
})) as Record<string, unknown>;
}
@@ -176,10 +175,9 @@ export class PlatformBackend implements Backend {
if (opts.rerank) payload.rerank = true;
if (opts.keyword) payload.keyword_search = true;
if (opts.fields) payload.fields = opts.fields;
if (opts.enableGraph) payload.enable_graph = true;
payload.source = "CLI";
const result = (await this._request("POST", "/v2/memories/search/", {
const result = (await this._request("POST", "/v3/memories/search/", {
json: payload,
})) as unknown;
if (Array.isArray(result)) return result;
@@ -227,10 +225,9 @@ export class PlatformBackend implements Backend {
extraFilters: Object.keys(extra).length > 0 ? extra : undefined,
});
if (apiFilters) payload.filters = apiFilters;
if (opts.enableGraph) payload.enable_graph = true;
payload.source = "CLI";
const result = (await this._request("POST", "/v2/memories/", {
const result = (await this._request("POST", "/v3/memories/", {
json: payload,
params,
})) as unknown;
-2
View File
@@ -29,7 +29,6 @@ export function cmdConfigShow(opts: { output?: string } = {}): void {
agent_id: config.defaults.agentId || null,
app_id: config.defaults.appId || null,
run_id: config.defaults.runId || null,
enable_graph: config.defaults.enableGraph,
},
platform: {
api_key: redactKey(config.platform.apiKey),
@@ -56,7 +55,6 @@ export function cmdConfigShow(opts: { output?: string } = {}): void {
]);
table.push(["defaults.app_id", config.defaults.appId || dim("(not set)")]);
table.push(["defaults.run_id", config.defaults.runId || dim("(not set)")]);
table.push(["defaults.enable_graph", String(config.defaults.enableGraph)]);
table.push(["", ""]);
// Platform
-6
View File
@@ -49,7 +49,6 @@ export async function cmdAdd(
noInfer: boolean;
expires?: string;
categories?: string;
enableGraph: boolean;
output: string;
},
): Promise<void> {
@@ -140,7 +139,6 @@ export async function cmdAdd(
infer: !opts.noInfer,
expires: opts.expires,
categories: cats,
enableGraph: opts.enableGraph,
});
});
} catch (e) {
@@ -225,7 +223,6 @@ export async function cmdSearch(
keyword: boolean;
filterJson?: string;
fields?: string;
enableGraph: boolean;
output: string;
},
): Promise<void> {
@@ -274,7 +271,6 @@ export async function cmdSearch(
keyword: opts.keyword,
filters,
fields: fieldList,
enableGraph: opts.enableGraph,
});
});
} catch (e) {
@@ -368,7 +364,6 @@ export async function cmdList(
category?: string;
after?: string;
before?: string;
enableGraph: boolean;
output: string;
},
): Promise<void> {
@@ -396,7 +391,6 @@ export async function cmdList(
category: opts.category,
after: opts.after,
before: opts.before,
enableGraph: opts.enableGraph,
});
});
} catch (e) {
-13
View File
@@ -28,7 +28,6 @@ export interface DefaultsConfig {
agentId: string;
appId: string;
runId: string;
enableGraph: boolean;
}
export interface TelemetryConfig {
@@ -50,7 +49,6 @@ export function createDefaultConfig(): Mem0Config {
agentId: "",
appId: "",
runId: "",
enableGraph: false,
},
platform: {
apiKey: "",
@@ -87,8 +85,6 @@ export function loadConfig(): Mem0Config {
config.defaults.agentId = defaults.agent_id ?? "";
config.defaults.appId = defaults.app_id ?? "";
config.defaults.runId = defaults.run_id ?? "";
config.defaults.enableGraph = defaults.enable_graph ?? false;
const telemetry = data.telemetry ?? {};
config.telemetry.anonymousId = telemetry.anonymous_id ?? "";
}
@@ -104,12 +100,6 @@ export function loadConfig(): Mem0Config {
config.defaults.agentId = process.env.MEM0_AGENT_ID;
if (process.env.MEM0_APP_ID) config.defaults.appId = process.env.MEM0_APP_ID;
if (process.env.MEM0_RUN_ID) config.defaults.runId = process.env.MEM0_RUN_ID;
if (process.env.MEM0_ENABLE_GRAPH) {
config.defaults.enableGraph = ["true", "1", "yes"].includes(
process.env.MEM0_ENABLE_GRAPH.toLowerCase(),
);
}
return config;
}
@@ -123,7 +113,6 @@ export function saveConfig(config: Mem0Config): void {
agent_id: config.defaults.agentId,
app_id: config.defaults.appId,
run_id: config.defaults.runId,
enable_graph: config.defaults.enableGraph,
},
platform: {
api_key: config.platform.apiKey,
@@ -154,7 +143,6 @@ const KEY_MAP: Record<string, [keyof Mem0Config, string]> = {
"defaults.agent_id": ["defaults", "agentId"],
"defaults.app_id": ["defaults", "appId"],
"defaults.run_id": ["defaults", "runId"],
"defaults.enable_graph": ["defaults", "enableGraph"],
// Short-form aliases
api_key: ["platform", "apiKey"],
base_url: ["platform", "baseUrl"],
@@ -163,7 +151,6 @@ const KEY_MAP: Record<string, [keyof Mem0Config, string]> = {
agent_id: ["defaults", "agentId"],
app_id: ["defaults", "appId"],
run_id: ["defaults", "runId"],
enable_graph: ["defaults", "enableGraph"],
};
export function getNestedValue(config: Mem0Config, dottedKey: string): unknown {
+1 -24
View File
@@ -134,18 +134,6 @@ function resolveIds(
};
}
/**
* Resolve graph tri-state: --no-graph > --graph > config default.
*/
function resolveGraph(
config: Mem0Config,
opts: { graph?: boolean; noGraph?: boolean },
): boolean {
if (opts.noGraph) return false;
if (opts.graph) return true;
return config.defaults.enableGraph;
}
// ── Main program ──────────────────────────────────────────────────────────
program
@@ -236,8 +224,6 @@ program
.option("--no-infer", "Skip inference, store raw.")
.option("--expires <date>", "Expiration date (YYYY-MM-DD).")
.option("--categories <value>", "Categories (JSON array or comma-separated).")
.option("--graph", "Enable graph memory extraction.", false)
.option("--no-graph", "Disable graph memory extraction.")
.option("-o, --output <format>", "Output format: text, json, quiet.", "text")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -253,9 +239,8 @@ program
opts.baseUrl,
);
const ids = resolveIds(config, opts);
const enableGraph = resolveGraph(config, opts);
const output = isAgent ? "agent" : opts.output;
await cmdAdd(backend, text, { ...ids, ...opts, enableGraph, output });
await cmdAdd(backend, text, { ...ids, ...opts, output });
});
// ── Memory: search ────────────────────────────────────────────────────────
@@ -285,8 +270,6 @@ program
.option("--keyword", "Use keyword search.", false)
.option("--filter <json>", "Advanced filter expression (JSON).")
.option("--fields <list>", "Specific fields to return (comma-separated).")
.option("--graph", "Enable graph in search.", false)
.option("--no-graph", "Disable graph in search.")
.option("-o, --output <format>", "Output: text, json, table.", "text")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -310,7 +293,6 @@ program
opts.baseUrl,
);
const ids = resolveIds(config, opts);
const enableGraph = resolveGraph(config, opts);
const output = isAgent ? "agent" : opts.output;
await cmdSearch(backend, resolvedQuery, {
...ids,
@@ -320,7 +302,6 @@ program
keyword: opts.keyword,
filterJson: opts.filter,
fields: opts.fields,
enableGraph,
output,
});
});
@@ -364,8 +345,6 @@ program
.option("--category <name>", "Filter by category.")
.option("--after <date>", "Created after (YYYY-MM-DD).")
.option("--before <date>", "Created before (YYYY-MM-DD).")
.option("--graph", "Enable graph in listing.", false)
.option("--no-graph", "Disable graph in listing.")
.option("-o, --output <format>", "Output: text, json, table.", "table")
.option("--api-key <key>", "Override API key.")
.option("--base-url <url>", "Override API base URL.")
@@ -381,7 +360,6 @@ program
opts.baseUrl,
);
const ids = resolveIds(config, opts);
const enableGraph = resolveGraph(config, opts);
const output = isAgent ? "agent" : opts.output;
await cmdList(backend, {
...ids,
@@ -390,7 +368,6 @@ program
category: opts.category,
after: opts.after,
before: opts.before,
enableGraph,
output,
});
});
+6 -6
View File
@@ -107,22 +107,22 @@ describe("CLI Integration — help and version", () => {
expect(result.exitCode).toBe(0);
});
it("add help has --graph flag", () => {
it("add help has --output flag", () => {
const result = run(["add", "--help"]);
expect(result.exitCode).toBe(0);
expect(result.stdout).toContain("--graph");
expect(result.stdout).toContain("--output");
});
it("search help has --graph flag", () => {
it("search help has --rerank flag", () => {
const result = run(["search", "--help"]);
expect(result.exitCode).toBe(0);
expect(result.stdout).toContain("--graph");
expect(result.stdout).toContain("--rerank");
});
it("list help has --graph flag", () => {
it("list help has --category flag", () => {
const result = run(["list", "--help"]);
expect(result.exitCode).toBe(0);
expect(result.stdout).toContain("--graph");
expect(result.stdout).toContain("--category");
});
});
+15 -15
View File
@@ -42,7 +42,7 @@ describe("cmdAdd", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "text",
});
expect(mockBackend.add).toHaveBeenCalledOnce();
@@ -55,7 +55,7 @@ describe("cmdAdd", () => {
messages: JSON.stringify([{ role: "user", content: "I love Python" }]),
immutable: false,
noInfer: false,
enableGraph: false,
output: "text",
});
expect(mockBackend.add).toHaveBeenCalledOnce();
@@ -67,7 +67,7 @@ describe("cmdAdd", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "json",
});
expect(output).toContain("results");
@@ -79,7 +79,7 @@ describe("cmdAdd", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "quiet",
});
expect(output).not.toContain("dark mode");
@@ -101,7 +101,7 @@ describe("cmdAdd deduplicates PENDING", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "text",
});
expect(output.match(/Queued/g)?.length).toBe(1);
@@ -114,7 +114,7 @@ describe("cmdAdd deduplicates PENDING", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "json",
});
const data = JSON.parse(output);
@@ -130,7 +130,7 @@ describe("cmdAdd deduplicates PENDING", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "agent",
});
const data = JSON.parse(output);
@@ -148,7 +148,7 @@ describe("cmdSearch", () => {
threshold: 0.3,
rerank: false,
keyword: false,
enableGraph: false,
output: "text",
});
expect(output).toContain("Found 2");
@@ -162,7 +162,7 @@ describe("cmdSearch", () => {
threshold: 0.3,
rerank: false,
keyword: false,
enableGraph: false,
output: "json",
});
expect(output).toContain("memory");
@@ -177,7 +177,7 @@ describe("cmdSearch", () => {
threshold: 0.3,
rerank: false,
keyword: false,
enableGraph: false,
output: "text",
});
expect(errOutput).toContain("No memories found");
@@ -205,7 +205,7 @@ describe("cmdList", () => {
userId: "alice",
page: 1,
pageSize: 100,
enableGraph: false,
output: "table",
});
expect(output).toContain("dark mode");
@@ -218,7 +218,7 @@ describe("cmdList", () => {
userId: "alice",
page: 1,
pageSize: 100,
enableGraph: false,
output: "text",
});
expect(errOutput).toContain("No memories found");
@@ -316,7 +316,7 @@ describe("agent mode", () => {
userId: "alice",
immutable: false,
noInfer: false,
enableGraph: false,
output: "agent",
});
const parsed = JSON.parse(output.trim());
@@ -336,7 +336,7 @@ describe("agent mode", () => {
threshold: 0.3,
rerank: false,
keyword: false,
enableGraph: false,
output: "agent",
});
const parsed = JSON.parse(output.trim());
@@ -361,7 +361,7 @@ describe("agent mode", () => {
userId: "alice",
page: 1,
pageSize: 100,
enableGraph: false,
output: "agent",
});
const parsed = JSON.parse(output.trim());
-6
View File
@@ -64,7 +64,6 @@ describe("createDefaultConfig", () => {
expect(config.platform.baseUrl).toBe("https://api.mem0.ai");
expect(config.platform.apiKey).toBe("");
expect(config.defaults.userId).toBe("");
expect(config.defaults.enableGraph).toBe(false);
});
});
@@ -105,9 +104,4 @@ describe("setNestedValue", () => {
expect(config.defaults.userId).toBe("bob");
});
it("coerces boolean for enable_graph", () => {
const config = createDefaultConfig();
expect(setNestedValue(config, "defaults.enable_graph", "true")).toBe(true);
expect(config.defaults.enableGraph).toBe(true);
});
});
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "mem0-cli"
version = "0.2.3"
version = "0.2.4"
description = "The official CLI for mem0 — the memory layer for AI agents"
readme = "README.md"
license = "Apache-2.0"
+1 -1
View File
@@ -1,3 +1,3 @@
"""mem0 CLI — the command-line interface for the mem0 memory layer."""
__version__ = "0.2.3"
__version__ = "0.2.4"
-38
View File
@@ -267,8 +267,6 @@ def add(
categories: str | None = typer.Option(
None, "--categories", help="Categories (JSON array or comma-separated)."
),
graph: bool = typer.Option(False, "--graph", help="Enable graph memory extraction."),
no_graph: bool = typer.Option(False, "--no-graph", help="Disable graph memory extraction."),
output: str = typer.Option(
"text", "--output", "-o", help="Output format: text, json, quiet.", rich_help_panel="Output"
),
@@ -295,13 +293,6 @@ def add(
backend, config = _get_backend_and_config(api_key, base_url)
ids = _resolve_ids(config, user_id=user_id, agent_id=agent_id, app_id=app_id, run_id=run_id)
if no_graph:
graph_enabled = False
elif graph:
graph_enabled = True
else:
graph_enabled = config.defaults.enable_graph
cmd_add(
backend,
text,
@@ -313,7 +304,6 @@ def add(
no_infer=no_infer,
expires=expires,
categories=categories,
enable_graph=graph_enabled,
output=output,
)
@@ -357,12 +347,6 @@ def search(
help="Specific fields to return (comma-separated).",
rich_help_panel="Search",
),
graph: bool = typer.Option(
False, "--graph", help="Enable graph in search.", rich_help_panel="Search"
),
no_graph: bool = typer.Option(
False, "--no-graph", help="Disable graph in search.", rich_help_panel="Search"
),
output: str = typer.Option(
"text", "--output", "-o", help="Output: text, json, table.", rich_help_panel="Output"
),
@@ -396,13 +380,6 @@ def search(
backend, config = _get_backend_and_config(api_key, base_url)
ids = _resolve_ids(config, user_id=user_id, agent_id=agent_id, app_id=app_id, run_id=run_id)
if no_graph:
graph_enabled = False
elif graph:
graph_enabled = True
else:
graph_enabled = config.defaults.enable_graph
cmd_search(
backend,
query,
@@ -413,7 +390,6 @@ def search(
keyword=keyword,
filter_json=filter_json,
fields=fields,
enable_graph=graph_enabled,
output=output,
)
@@ -480,12 +456,6 @@ def list_cmd(
before: str | None = typer.Option(
None, "--before", help="Created before (YYYY-MM-DD).", rich_help_panel="Filters"
),
graph: bool = typer.Option(
False, "--graph", help="Enable graph in listing.", rich_help_panel="Filters"
),
no_graph: bool = typer.Option(
False, "--no-graph", help="Disable graph in listing.", rich_help_panel="Filters"
),
output: str = typer.Option(
"table", "--output", "-o", help="Output: text, json, table.", rich_help_panel="Output"
),
@@ -511,13 +481,6 @@ def list_cmd(
backend, config = _get_backend_and_config(api_key, base_url)
ids = _resolve_ids(config, user_id=user_id, agent_id=agent_id, app_id=app_id, run_id=run_id)
if no_graph:
graph_enabled = False
elif graph:
graph_enabled = True
else:
graph_enabled = config.defaults.enable_graph
cmd_list(
backend,
**ids,
@@ -526,7 +489,6 @@ def list_cmd(
category=category,
after=after,
before=before,
enable_graph=graph_enabled,
output=output,
)
-3
View File
@@ -26,7 +26,6 @@ class Backend(ABC):
infer: bool = True,
expires: str | None = None,
categories: list[str] | None = None,
enable_graph: bool = False,
) -> dict: ...
@abstractmethod
@@ -44,7 +43,6 @@ class Backend(ABC):
keyword: bool = False,
filters: dict | None = None,
fields: list[str] | None = None,
enable_graph: bool = False,
) -> list[dict]: ...
@abstractmethod
@@ -63,7 +61,6 @@ class Backend(ABC):
category: str | None = None,
after: str | None = None,
before: str | None = None,
enable_graph: bool = False,
) -> list[dict]: ...
@abstractmethod
+5 -14
View File
@@ -64,7 +64,6 @@ class PlatformBackend(Backend):
infer: bool = True,
expires: str | None = None,
categories: list[str] | None = None,
enable_graph: bool = False,
) -> dict:
payload: dict[str, Any] = {}
@@ -91,11 +90,9 @@ class PlatformBackend(Backend):
payload["expiration_date"] = expires
if categories:
payload["categories"] = categories
if enable_graph:
payload["enable_graph"] = True
payload["source"] = "CLI"
return self._request("POST", "/v1/memories/", json=payload)
return self._request("POST", "/v3/memories/add/", json=payload)
def _build_filters(
self,
@@ -106,7 +103,7 @@ class PlatformBackend(Backend):
run_id: str | None = None,
extra_filters: dict | None = None,
) -> dict | None:
"""Build a filters dict for v2 API endpoints.
"""Build a filters dict for v3 API endpoints.
Entity IDs are ANDed (all provided IDs must match).
Extra filters (date ranges, categories) are also ANDed.
@@ -152,7 +149,6 @@ class PlatformBackend(Backend):
keyword: bool = False,
filters: dict | None = None,
fields: list[str] | None = None,
enable_graph: bool = False,
) -> list[dict]:
payload: dict[str, Any] = {"query": query, "top_k": top_k, "threshold": threshold}
@@ -171,11 +167,9 @@ class PlatformBackend(Backend):
payload["keyword_search"] = True
if fields:
payload["fields"] = fields
if enable_graph:
payload["enable_graph"] = True
payload["source"] = "CLI"
result = self._request("POST", "/v2/memories/search/", json=payload)
result = self._request("POST", "/v3/memories/search/", json=payload)
return (
result
if isinstance(result, list)
@@ -197,12 +191,11 @@ class PlatformBackend(Backend):
category: str | None = None,
after: str | None = None,
before: str | None = None,
enable_graph: bool = False,
) -> list[dict]:
payload: dict[str, Any] = {}
params = {"page": str(page), "page_size": str(page_size)}
# Build filters for v2 API — entity IDs and date filters go inside "filters"
# Build filters — entity IDs and date filters go inside "filters"
extra: dict[str, Any] = {}
if category:
extra["categories"] = {"contains": category}
@@ -220,11 +213,9 @@ class PlatformBackend(Backend):
)
if api_filters:
payload["filters"] = api_filters
if enable_graph:
payload["enable_graph"] = True
payload["source"] = "CLI"
result = self._request("POST", "/v2/memories/", json=payload, params=params)
result = self._request("POST", "/v3/memories/", json=payload, params=params)
return (
result
if isinstance(result, list)
@@ -39,7 +39,6 @@ def cmd_config_show(*, output: str = "text") -> None:
"agent_id": config.defaults.agent_id or None,
"app_id": config.defaults.app_id or None,
"run_id": config.defaults.run_id or None,
"enable_graph": config.defaults.enable_graph,
},
"platform": {
"api_key": redact_key(config.platform.api_key),
@@ -73,10 +72,6 @@ def cmd_config_show(*, output: str = "text") -> None:
"defaults.run_id",
config.defaults.run_id or f"[{DIM_COLOR}](not set)[/]",
)
table.add_row(
"defaults.enable_graph",
str(config.defaults.enable_graph).lower(),
)
table.add_row("", "")
# Platform
@@ -62,7 +62,6 @@ def cmd_add(
no_infer: bool,
expires: str | None,
categories: str | None,
enable_graph: bool = False,
output: str = "text",
) -> None:
"""Add a memory."""
@@ -145,7 +144,6 @@ def cmd_add(
infer=not no_infer,
expires=expires,
categories=cats,
enable_graph=enable_graph,
)
except Exception as e:
ts.error_msg = str(e)
@@ -226,7 +224,6 @@ def cmd_search(
keyword: bool,
filter_json: str | None,
fields: str | None,
enable_graph: bool = False,
output: str = "text",
) -> None:
"""Search memories."""
@@ -269,7 +266,6 @@ def cmd_search(
keyword=keyword,
filters=filters,
fields=field_list,
enable_graph=enable_graph,
)
except Exception as e:
print_error(err_console, str(e))
@@ -356,7 +352,6 @@ def cmd_list(
category: str | None,
after: str | None,
before: str | None,
enable_graph: bool = False,
output: str = "table",
) -> None:
"""List memories."""
@@ -385,7 +380,6 @@ def cmd_list(
category=category,
after=after,
before=before,
enable_graph=enable_graph,
)
except Exception as e:
print_error(err_console, str(e))
-9
View File
@@ -36,7 +36,6 @@ class DefaultsConfig:
agent_id: str = ""
app_id: str = ""
run_id: str = ""
enable_graph: bool = False
@dataclass
@@ -60,7 +59,6 @@ SHORT_KEY_ALIASES: dict[str, str] = {
"agent_id": "defaults.agent_id",
"app_id": "defaults.app_id",
"run_id": "defaults.run_id",
"enable_graph": "defaults.enable_graph",
}
@@ -91,8 +89,6 @@ def load_config() -> Mem0Config:
config.defaults.agent_id = defaults.get("agent_id", "")
config.defaults.app_id = defaults.get("app_id", "")
config.defaults.run_id = defaults.get("run_id", "")
config.defaults.enable_graph = defaults.get("enable_graph", False)
telemetry = data.get("telemetry", {})
config.telemetry.anonymous_id = telemetry.get("anonymous_id", "")
@@ -121,10 +117,6 @@ def load_config() -> Mem0Config:
if env_run_id:
config.defaults.run_id = env_run_id
env_graph = os.environ.get("MEM0_ENABLE_GRAPH")
if env_graph:
config.defaults.enable_graph = env_graph.lower() in ("true", "1", "yes")
return config
@@ -139,7 +131,6 @@ def save_config(config: Mem0Config) -> None:
"agent_id": config.defaults.agent_id,
"app_id": config.defaults.app_id,
"run_id": config.defaults.run_id,
"enable_graph": config.defaults.enable_graph,
},
"platform": {
"api_key": config.platform.api_key,
+2 -13
View File
@@ -224,24 +224,13 @@ class TestCLIIsolated:
class TestCLINewFeatures:
"""Tests for MCP parity features: --graph, --limit, entities delete."""
"""Tests for MCP parity features: --limit, entities delete."""
def test_add_help_has_graph(self):
result = _run(["add", "--help"])
assert result.returncode == 0
assert "--graph" in result.stdout
def test_search_help_has_graph_and_limit(self):
def test_search_help_has_limit(self):
result = _run(["search", "--help"])
assert result.returncode == 0
assert "--graph" in result.stdout
assert "--limit" in result.stdout
def test_list_help_has_graph(self):
result = _run(["list", "--help"])
assert result.returncode == 0
assert "--graph" in result.stdout
def test_delete_entity_via_delete_flag(self):
"""delete --entity should appear in help output."""
result = _run(["delete", "--help"])
-79
View File
@@ -997,85 +997,6 @@ class TestEntitiesDeleteCommand:
mock_backend.delete_entities.assert_not_called()
class TestEnableGraph:
def test_add_with_graph(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_add(
mock_backend,
"test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
messages=None,
file=None,
metadata=None,
immutable=False,
no_infer=False,
expires=None,
categories=None,
enable_graph=True,
output="text",
)
call_kwargs = mock_backend.add.call_args
assert call_kwargs.kwargs.get("enable_graph") is True
def test_search_with_graph(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_search(
mock_backend,
"test",
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
top_k=10,
threshold=0.3,
rerank=False,
keyword=False,
filter_json=None,
fields=None,
enable_graph=True,
output="text",
)
call_kwargs = mock_backend.search.call_args
assert call_kwargs.kwargs.get("enable_graph") is True
def test_list_with_graph(self, mock_backend):
console, _buf = _make_console()
err_console, _err_buf = _make_err_console()
with (
patch("mem0_cli.commands.memory.console", console),
patch("mem0_cli.commands.memory.err_console", err_console),
):
cmd_list(
mock_backend,
user_id="alice",
agent_id=None,
app_id=None,
run_id=None,
page=1,
page_size=100,
category=None,
after=None,
before=None,
enable_graph=True,
output="table",
)
call_kwargs = mock_backend.list_memories.call_args
assert call_kwargs.kwargs.get("enable_graph") is True
class TestEventCommands:
def test_event_list_table(self, mock_backend):
console, buf = _make_console()
-45
View File
@@ -121,46 +121,6 @@ class TestConfig:
assert config.defaults.agent_id == ""
assert config.defaults.app_id == ""
assert config.defaults.run_id == ""
assert config.defaults.enable_graph is False
def test_enable_graph_save_and_load(self, isolate_config):
config = Mem0Config()
config.defaults.enable_graph = True
save_config(config)
loaded = load_config()
assert loaded.defaults.enable_graph is True
def test_enable_graph_env_var_true(self, isolate_config, monkeypatch):
monkeypatch.setenv("MEM0_ENABLE_GRAPH", "true")
loaded = load_config()
assert loaded.defaults.enable_graph is True
def test_enable_graph_env_var_false(self, isolate_config, monkeypatch):
config = Mem0Config()
config.defaults.enable_graph = True
save_config(config)
monkeypatch.setenv("MEM0_ENABLE_GRAPH", "false")
loaded = load_config()
assert loaded.defaults.enable_graph is False
def test_backward_compat_no_enable_graph_key(self, isolate_config):
"""Old config files without 'enable_graph' key should default to False."""
import json
from mem0_cli.config import CONFIG_FILE, ensure_config_dir
ensure_config_dir()
data = {
"version": 1,
"defaults": {"user_id": "alice"},
"platform": {"api_key": "m0-test", "base_url": "https://api.mem0.ai"},
}
with open(CONFIG_FILE, "w") as f:
json.dump(data, f)
loaded = load_config()
assert loaded.defaults.enable_graph is False
assert loaded.defaults.user_id == "alice"
class TestNestedAccess:
@@ -192,11 +152,6 @@ class TestNestedAccess:
assert set_nested_value(config, "defaults.user_id", "bob")
assert config.defaults.user_id == "bob"
def test_set_defaults_enable_graph(self):
config = Mem0Config()
assert set_nested_value(config, "defaults.enable_graph", "true")
assert config.defaults.enable_graph is True
class TestResolveIds:
def test_cli_flag_overrides_default(self):
+13
View File
@@ -4,6 +4,19 @@ description: "Release notes for the OpenClaw plugin and agent harness."
mode: "wide"
---
<Update label="2026-04-20" description="v1.0.7">
**New Features:**
- **Chat-Based Setup:** Added chat-based Platform setup flow — users can now configure the plugin conversationally instead of editing config files manually
- **Installation Docs Rewrite:** Rewrote README and integration docs with chat-first setup, numbered manual steps.
**Improvements:**
- **SDK Upgrade:** Bumped `mem0ai` dependency to 3.0.1 for V3 API compatibility
- **Config Cleanup:** Dropped deprecated `orgId`, `projectId`, `enableGraph` config options; updated CLI prompts ([#4734](https://github.com/mem0ai/mem0/pull/4734), [#4764](https://github.com/mem0ai/mem0/pull/4764))
- **Noise Filtering:** Expanded noise patterns in memory add tool; handle leading text in JSON extraction
</Update>
<Update label="2026-04-11" description="v1.0.6">
**Bug Fixes:**
+17
View File
@@ -893,6 +893,13 @@ See the [OSS v1 to v2 migration guide](https://docs.mem0.ai/migration/oss-v1-to-
</Tab>
<Tab title="TypeScript">
<Update label="2026-04-20" description="v3.0.1">
**Bug Fixes:**
- **Telemetry:** SDK version is now injected into telemetry at build time via esbuild's `define`, replacing the two hardcoded version strings in `src/client/telemetry.ts` and `src/oss/src/utils/telemetry.ts`. Previously these were stuck at `2.1.36` and `2.1.34` while the published package was on `3.x`, so every telemetry event was reporting the wrong `client_version`. The placeholder is substituted with a string literal at bundle time — no runtime `require("./package.json")` in the shipped bundle ([#4897](https://github.com/mem0ai/mem0/pull/4897)).
</Update>
<Update label="2026-04-14" description="v3.0.0">
**Major Release** — TypeScript SDK with V3 memory pipeline, camelCase parameters, and cleaned-up API surface.
@@ -1262,6 +1269,16 @@ See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to
<Tab title="CLI">
<Update label="2026-04-22" description="Python v0.2.4 / Node v0.2.4">
**New Features:**
- **V3 API Routes:** Migrated `add`, `search`, and `list` commands from v1/v2 to v3 API endpoints — `POST /v3/memories/add/`, `POST /v3/memories/search/`, `POST /v3/memories/`. Aligns both CLIs with the Python and TypeScript SDKs which already use v3 ([#4916](https://github.com/mem0ai/mem0/pull/4916))
**Breaking Changes:**
- **`--graph` / `--no-graph` removed:** The `enable_graph` config option, `--graph` and `--no-graph` CLI flags, and `MEM0_ENABLE_GRAPH` environment variable have been removed from both CLIs. Graph memory is now a project-level setting on the Platform ([#4916](https://github.com/mem0ai/mem0/pull/4916))
</Update>
<Update label="2026-04-11" description="Python v0.2.3 / Node v0.2.3">
**Bug Fixes:**
@@ -54,7 +54,6 @@ config = {
"embedding_model_dims": 3072,
}
},
"version": "v1.1",
}
class PersonalTravelAssistant:
@@ -154,7 +153,7 @@ class PersonalTravelAssistant:
return answer
def get_memories(self, user_id):
memories = self.memory.get_all(user_id=user_id)
memories = self.memory.get_all(filters={"user_id": user_id})
return [m['memory'] for m in memories.get('results', [])]
def search_memories(self, query, user_id):
+1 -1
View File
@@ -42,7 +42,7 @@ This sets up Mem0 with:
```python
import boto3
from opensearchpy import RequestsHttpConnection, AWSV4SignerAuth
from mem0.memory.main import Memory
from mem0 import Memory
region = 'us-west-2'
service = 'aoss'
@@ -216,7 +216,7 @@ memory.delete_all(user_id="alice")
## Put it into practice
- Review the <Link href="/api-reference/memory/delete-memory">Delete Memory API reference</Link>, plus <Link href="/api-reference/memory/batch-delete">Batch Delete</Link> and <Link href="/api-reference/memory/delete-memories">Filtered Delete</Link>.
- Pair deletes with <Link href="/platform/features/expiration-date">Expiration Policies</Link> to automate retention.
- Pair deletes with <Link href="/platform/features/platform-overview">Expiration Policies</Link> to automate retention.
## See it live
@@ -236,6 +236,6 @@ memory.delete_all(user_id="alice")
title="Enable Expiration Policies"
description="Automate retention with the platform’s expiration feature."
icon="clock"
href="/platform/features/expiration-date"
href="/platform/features/platform-overview"
/>
</CardGroup>
+1 -1
View File
@@ -49,7 +49,7 @@ Import necessary modules and configure Mem0:
```python
import boto3
from opensearchpy import OpenSearch, RequestsHttpConnection, AWSV4SignerAuth
from mem0.memory.main import Memory
from mem0 import Memory
region = 'us-west-2'
service = 'aoss'
+12 -5
View File
@@ -32,12 +32,19 @@ export MEM0_API_KEY="m0-your-api-key"
### Option A — Plugin Marketplace (Recommended)
Install the full plugin including MCP server, lifecycle hooks, and SDK skill:
Install the full plugin including MCP server, lifecycle hooks, and SDK skill.
```
/plugin marketplace add mem0ai/mem0
/plugin install mem0@mem0-plugins
```
1. Add the Mem0 marketplace:
```
/plugin marketplace add mem0ai/mem0
```
2. Install the plugin:
```
/plugin install mem0@mem0-plugins
```
**Claude Cowork desktop app:** Open the Cowork tab, click **Customize** in the sidebar, click **Browse plugins**, and install Mem0.
+2 -2
View File
@@ -24,7 +24,7 @@ You can get your Mem0 API key from the <a href="https://app.mem0.ai/" rel="nofol
Install the necessary libraries:
```bash
pip install mem0 keywordsai-sdk
pip install mem0ai keywordsai-sdk
```
Set up your environment variables:
@@ -65,7 +65,7 @@ config = {
}
# Initialize Memory
memory = Memory.from_config(config_dict=config)
memory = Memory.from_config(config)
# Add a memory
result = memory.add(
-1
View File
@@ -92,7 +92,6 @@ config = {
"provider": "openai",
"config": {"model": "text-embedding-3-small"},
},
"version": "v1.1",
}
```
+1 -1
View File
@@ -214,7 +214,7 @@ Customize memory behavior:
# Configure memory search
memories = mem0.search(
query="travel preferences",
user_id="alex",
filters={"user_id": "alex"},
top_k=5 # Number of memories to retrieve
)
+215 -42
View File
@@ -14,16 +14,37 @@ Add long-term memory to [OpenClaw](https://github.com/openclaw/openclaw) agents
The plugin provides:
1. **Auto-Recall** — Before the agent responds, memories matching the current message are injected into context
2. **Auto-Capture** — After the agent responds, the exchange is sent to Mem0 which decides what's worth keeping
3. **Agent Tools** — Five tools for explicit memory operations during conversations
3. **Agent Tools** — Eight tools for explicit memory operations during conversations
Both auto-recall and auto-capture run silently with no manual configuration required.
## Installation
## Requirements
Check your OpenClaw version:
```bash
openclaw plugins install @mem0/openclaw-mem0
openclaw --version
# OpenClaw 2026.4.15 (041266a)
```
| OpenClaw Version | Plugin Support |
|------------------|----------------|
| `>= 2026.4.15` | Fully supported |
## Installation
The fastest way is to install directly from your OpenClaw chat, no CLI or config editing needed.
**Copy and paste this into your OpenClaw chat**; Telegram, WhatsApp, default chat, or any channel where your agent lives:
```
Setup Mem0 from mem0.ai/claw-setup
```
OpenClaw installs the plugin, prompts you for your email, and connects your Mem0 account with OTP verification. See [Chat Setup](#option-1-chat-setup-recommended) below for the full walkthrough.
If you prefer the OpenClaw CLI, or are setting up self-hosted / open-source mode, see [Manual Config](#option-2-manual-config) and [Open-Source Mode](#open-source-mode-self-hosted) below.
## Setup and Configuration
### Understanding `userId`
@@ -36,37 +57,113 @@ Pick any stable, unique identifier for the user. Common choices:
- A UUID (e.g. `"550e8400-e29b-41d4-a716-446655440000"`)
- A simple username (e.g. `"alice"`)
All memories are scoped to this `userId` — different values create separate memory namespaces. If you don't set it, it defaults to `"default"`, which means all users share the same memory space.
All memories are scoped to this `userId` — different values create separate memory namespaces. If you don't set it, it defaults to your OS username.
<Tip>In a multi-user application, set `userId` dynamically per user (e.g. from your auth system) rather than hardcoding a single value.</Tip>
### Platform Mode (Mem0 Cloud)
<Note>Get your API key from <a href="https://app.mem0.ai" rel="nofollow">app.mem0.ai</a>.</Note>
There are two ways to set up `@mem0/openclaw-mem0` on the Mem0 platform:
Add to your `openclaw.json`:
- **Chat setup (recommended)** — run the setup inside any OpenClaw chat. No config editing, no API key handling.
- **Manual config** — edit `openclaw.json` directly.
```json5
// plugins.entries
"openclaw-mem0": {
"enabled": true,
"config": {
"apiKey": "${MEM0_API_KEY}",
"userId": "alice" // any unique identifier you choose for this user
}
}
```
#### Option 1: Chat Setup (Recommended)
You no longer need manual config editing to get started. Everything happens inside the OpenClaw chat itself.
<Steps>
<Step title="Send the setup command to your OpenClaw agent">
Open any OpenClaw channel — Telegram, WhatsApp, your default chat, wherever your agent lives. Paste and send this command:
```
Setup Mem0 from mem0.ai/claw-setup
```
OpenClaw responds with a Mem0 setup card and immediately asks:
> "What's your email address? I'll send you a verification code to connect your Mem0 account."
</Step>
<Step title="Enter your email">
Type your email address and send it. Mem0 sends back:
> "Check your email for a 6-digit code and paste it here."
</Step>
<Step title="Paste the OTP">
Copy the 6-digit code from your email inbox and paste it into the chat.
You'll see the confirmation:
> "Connected to Mem0."
</Step>
</Steps>
That's it. No API key, no config file editing, no environment variables. The plugin is now active and auto-capture and auto-recall are running on every turn.
<Note>The chat flow uses the same underlying config as manual setup — it writes `apiKey` and `userId` into `openclaw.json` for you. You can still open the file to inspect or override values afterward.</Note>
#### Option 2: Manual Config
<Steps>
<Step title="Install the plugin via the OpenClaw CLI">
```bash
openclaw plugins install @mem0/openclaw-mem0
```
</Step>
<Step title="Get your API key">
Get your API key from <a href="https://app.mem0.ai?utm_source=mem0-docs" rel="nofollow">app.mem0.ai</a>.
</Step>
<Step title="Select the plugin as your memory backend in `openclaw.json`">
Add the full config to your `openclaw.json`:
```json5
{
"plugins": {
"slots": {
"memory": "openclaw-mem0"
},
"entries": {
"openclaw-mem0": {
"enabled": true,
"config": {
"apiKey": "${MEM0_API_KEY}",
"userId": "alice" // any unique identifier you choose for this user
}
}
}
}
}
```
</Step>
</Steps>
<Warning>
OpenClaw treats memory plugins as an exclusive slot. Installing the plugin alone does **not** activate it — you must also set `plugins.slots.memory` as shown above.
</Warning>
### Open-Source Mode (Self-hosted)
No Mem0 key needed. Requires `OPENAI_API_KEY` for default embeddings/LLM.
```json5
"openclaw-mem0": {
"enabled": true,
"config": {
"mode": "open-source",
"userId": "alice" // any unique identifier you choose for this user
{
"plugins": {
"slots": {
"memory": "openclaw-mem0"
},
"entries": {
"openclaw-mem0": {
"enabled": true,
"config": {
"mode": "open-source",
"userId": "alice" // any unique identifier you choose for this user
}
}
}
}
}
```
@@ -74,13 +171,25 @@ No Mem0 key needed. Requires `OPENAI_API_KEY` for default embeddings/LLM.
Sensible defaults work out of the box. To customize the embedder, vector store, or LLM:
```json5
"config": {
"mode": "open-source",
"userId": "your-user-id",
"oss": {
"embedder": { "provider": "openai", "config": { "model": "text-embedding-3-small" } },
"vectorStore": { "provider": "qdrant", "config": { "host": "localhost", "port": 6333 } },
"llm": { "provider": "openai", "config": { "model": "gpt-4o" } }
{
"plugins": {
"slots": {
"memory": "openclaw-mem0"
},
"entries": {
"openclaw-mem0": {
"enabled": true,
"config": {
"mode": "open-source",
"userId": "your-user-id",
"oss": {
"embedder": { "provider": "openai", "config": { "model": "text-embedding-3-small" } },
"vectorStore": { "provider": "qdrant", "config": { "host": "localhost", "port": 6333 } },
"llm": { "provider": "openai", "config": { "model": "gpt-4o" } }
}
}
}
}
}
}
```
@@ -93,23 +202,26 @@ Memories are organized into two scopes:
- **Session (short-term)** — Auto-capture stores memories scoped to the current session via Mem0's `run_id` / `runId` parameter. These are contextual to the ongoing conversation.
- **User (long-term)** — The agent can explicitly store long-term memories using the `memory_store` tool (with `longTerm: true`, the default). These persist across all sessions for the user.
- **User (long-term)** — The agent can explicitly store long-term memories using the `memory_add` tool (with `longTerm: true`, the default). These persist across all sessions for the user.
During **auto-recall**, the plugin searches both scopes and presents them separately — long-term memories first, then session memories — so the agent has full context.
## Agent Tools
The agent gets five tools it can call during conversations:
The agent gets eight tools it can call during conversations:
| Tool | Description |
|------|-------------|
| `memory_search` | Search memories by natural language |
| `memory_list` | List all stored memories for a user |
| `memory_store` | Explicitly save a fact |
| `memory_get` | Retrieve a memory by ID |
| `memory_forget` | Delete by ID or by query |
| `memory_search` | Search memories by natural language query. Supports `scope`, `categories`, `filters`. |
| `memory_add` | Store facts. Accepts `text` or `facts` array, `category`, `importance`, `metadata`. |
| `memory_get` | Retrieve a single memory by ID |
| `memory_list` | List all memories. Filter by `userId`, `agentId`, `scope`. |
| `memory_update` | Update a memory's text in place. Preserves history. |
| `memory_delete` | Delete by `memoryId`, `query` (search-and-delete), or `all: true`. |
| `memory_event_list` | List recent background processing events (platform mode only). |
| `memory_event_status` | Get status of a specific event by ID (platform mode only). |
The `memory_search` and `memory_list` tools accept a `scope` parameter (`"session"`, `"long-term"`, or `"all"`) to control which memories are queried. The `memory_store` tool accepts a `longTerm` boolean (default: `true`) to choose where to store.
The `memory_search` and `memory_list` tools accept a `scope` parameter (`"session"`, `"long-term"`, or `"all"`) to control which memories are queried.
## CLI Commands
@@ -123,8 +235,9 @@ openclaw mem0 search "what languages does the user know" --scope long-term
# Search only session/short-term memories
openclaw mem0 search "what languages does the user know" --scope session
# View stats
openclaw mem0 stats
# List all memories
openclaw mem0 list
openclaw mem0 list --user-id alice --top-k 20
```
## Configuration Options
@@ -134,7 +247,7 @@ openclaw mem0 stats
| Key | Type | Default | Description |
|-----|------|---------|-------------|
| `mode` | `"platform"` \| `"open-source"` | `"platform"` | Which backend to use |
| `userId` | `string` | `"default"` | Scope memories per user |
| `userId` | `string` | OS username | Scope memories per user |
| `autoRecall` | `boolean` | `true` | Inject memories before each turn |
| `autoCapture` | `boolean` | `true` | Store facts after each turn |
| `topK` | `number` | `5` | Max memories per recall |
@@ -145,8 +258,6 @@ openclaw mem0 stats
| Key | Type | Default | Description |
|-----|------|---------|-------------|
| `apiKey` | `string` | — | **Required.** Mem0 API key (supports `${MEM0_API_KEY}`) |
| `orgId` | `string` | — | Organization ID |
| `projectId` | `string` | — | Project ID |
| `customInstructions` | `string` | *(built-in)* | Extraction rules — what to store, how to format |
| `customCategories` | `object` | *(12 defaults)* | Category name → description map for tagging |
@@ -162,15 +273,77 @@ openclaw mem0 stats
| `oss.llm.provider` | `string` | `"openai"` | LLM provider (`"openai"`, `"anthropic"`, `"ollama"`, etc.) |
| `oss.llm.config` | `object` | — | Provider config: `apiKey`, `model`, `baseURL`, `temperature` |
| `oss.historyDbPath` | `string` | — | SQLite path for memory edit history |
| `oss.disableHistory` | `boolean` | `false` | Disable memory edit history tracking |
Everything inside `oss` is optional — defaults use OpenAI embeddings (`text-embedding-3-small`), in-memory vector store, and OpenAI LLM.
## Plugin Management
### Updating the Plugin
```bash
openclaw plugins update @mem0/openclaw-mem0
```
<Note>Use the npm package name (`@mem0/openclaw-mem0`) for plugin management commands, not the plugin ID (`openclaw-mem0`).</Note>
### Checking Plugin Status
```bash
openclaw plugins list
openclaw plugins inspect openclaw-mem0
```
## Troubleshooting
### "plugins.allow excludes mem0" Error
If you see an error like:
```
[openclaw] Failed to start CLI: Error: The `openclaw mem0` command is unavailable
because `plugins.allow` excludes "mem0". Add "mem0" to `plugins.allow` if you want
that bundled plugin CLI surface.
```
Add `mem0` to your `plugins.allow` list in `openclaw.json`:
```json5
{
"plugins": {
"allow": ["mem0"],
"slots": {
"memory": "openclaw-mem0"
}
}
}
```
### Plugin Not Activating
If the plugin installs but doesn't work:
1. Verify `plugins.slots.memory` is set to `"openclaw-mem0"` (not the npm package name)
2. Check `openclaw plugins list --enabled` to confirm the plugin is loaded
3. Run `openclaw mem0 status` to verify configuration
### Plugin Update Not Working
If `openclaw plugins update` fails:
1. Use the full npm package name: `openclaw plugins update @mem0/openclaw-mem0`
2. If that fails, uninstall and reinstall:
```bash
openclaw plugins uninstall openclaw-mem0
openclaw plugins install @mem0/openclaw-mem0
```
## Key Features
1. **Zero Configuration** — Auto-recall and auto-capture work out of the box with no prompting required
2. **Dual Memory Scopes** — Session-scoped short-term and user-scoped long-term memories
3. **Flexible Backend** — Use Mem0 Cloud for managed service or self-host with open-source mode
4. **Rich Tool Suite** — Five agent tools for explicit memory operations when needed
4. **Rich Tool Suite** — Eight agent tools for explicit memory operations when needed
## Conclusion
@@ -115,17 +115,15 @@ config = {
}
},
"custom_instructions": custom_instructions,
"version": "v1.1"
}
m = Memory.from_config(config_dict=config)
m = Memory.from_config(config)
```
```ts TypeScript
import { Memory } from "mem0ai/oss";
const config = {
version: "v1.1",
llm: {
provider: "openai",
config: {
@@ -51,8 +51,7 @@ m = Memory()
# Search with simple metadata filters
results = m.search(
"What are my preferences?",
user_id="alice",
filters={"category": "preferences"}
filters={"user_id": "alice", "category": "preferences"}
)
```
@@ -68,8 +67,8 @@ Layer greater-than/less-than comparisons to rank results by score, confidence, o
# Greater than / Less than
results = m.search(
"recent activities",
user_id="alice",
filters={
"user_id": "alice",
"score": {"gt": 0.8},
"priority": {"gte": 5},
"confidence": {"lt": 0.9},
@@ -80,8 +79,8 @@ results = m.search(
# Equality operators
results = m.search(
"specific content",
user_id="alice",
filters={
"user_id": "alice",
"status": {"eq": "active"},
"archived": {"ne": True}
}
@@ -96,8 +95,8 @@ Use `in` and `nin` when you want to pre-approve or exclude specific values witho
# In / Not in operators
results = m.search(
"multi-category search",
user_id="alice",
filters={
"user_id": "alice",
"category": {"in": ["food", "travel", "entertainment"]},
"status": {"nin": ["deleted", "archived"]}
}
@@ -116,8 +115,8 @@ results = m.search(
# Text matching operators
results = m.search(
"content search",
user_id="alice",
filters={
"user_id": "alice",
"title": {"contains": "meeting"},
"description": {"icontains": "important"},
"tags": {"contains": "urgent"}
@@ -133,8 +132,8 @@ Allow any value for a field while still requiring the field to exist—handy whe
# Match any value for a field
results = m.search(
"all with category",
user_id="alice",
filters={
"user_id": "alice",
"category": "*"
}
)
@@ -148,9 +147,9 @@ Combine filters with `AND`, `OR`, and `NOT` to express complex decision trees. N
# Logical AND
results = m.search(
"complex query",
user_id="alice",
filters={
"AND": [
{"user_id": "alice"},
{"category": "work"},
{"priority": {"gte": 7}},
{"status": {"ne": "completed"}}
@@ -161,12 +160,16 @@ results = m.search(
# Logical OR
results = m.search(
"flexible query",
user_id="alice",
filters={
"OR": [
{"category": "urgent"},
{"priority": {"gte": 9}},
{"deadline": {"contains": "today"}}
"AND": [
{"user_id": "alice"},
{
"OR": [
{"category": "urgent"},
{"priority": {"gte": 9}},
{"deadline": {"contains": "today"}}
]
}
]
}
)
@@ -174,11 +177,15 @@ results = m.search(
# Logical NOT
results = m.search(
"exclusion query",
user_id="alice",
filters={
"NOT": [
{"category": "archived"},
{"status": "deleted"}
"AND": [
{"user_id": "alice"},
{
"NOT": [
{"category": "archived"},
{"status": "deleted"}
]
}
]
}
)
@@ -186,9 +193,9 @@ results = m.search(
# Complex nested logic
results = m.search(
"advanced query",
user_id="alice",
filters={
"AND": [
{"user_id": "alice"},
{
"OR": [
{"category": "work"},
@@ -288,16 +295,15 @@ Vector store support varies. Confirm operator coverage before shipping:
# Before (v0.x) - simple key-value filtering only
results = m.search(
"query",
user_id="alice",
filters={"category": "work", "status": "active"}
filters={"user_id": "alice", "category": "work", "status": "active"}
)
# After (v1.0.0) - enhanced filtering with operators
results = m.search(
"query",
user_id="alice",
filters={
"AND": [
{"user_id": "alice"},
{"category": "work"},
{"status": {"ne": "archived"}},
{"priority": {"gte": 5}}
@@ -320,9 +326,9 @@ results = m.search(
# Find high-priority active tasks
results = m.search(
"What tasks need attention?",
user_id="project_manager",
filters={
"AND": [
{"user_id": "project_manager"},
{"project": {"in": ["alpha", ""]}},
{"priority": {"gte": 8}},
{"status": {"ne": "completed"}},
@@ -347,9 +353,9 @@ results = m.search(
# Find recent unresolved tickets
results = m.search(
"pending support issues",
agent_id="support_bot",
filters={
"AND": [
{"agent_id": "support_bot"},
{"ticket_status": {"ne": "resolved"}},
{"priority": {"in": ["high", "critical"]}},
{"created_date": {"gte": "2024-01-01"}},
@@ -364,7 +370,7 @@ results = m.search(
```
<Tip>
Pair `agent_id` filters with ticket-specific metadata so shared support bots return only the tickets they can act on in the current session.
Pair agent ID filters with ticket-specific metadata so shared support bots return only the tickets they can act on in the current session.
</Tip>
### Content recommendation filtering
@@ -373,9 +379,9 @@ results = m.search(
# Personalized content filtering
results = m.search(
"recommend content",
user_id="reader123",
filters={
"AND": [
{"user_id": "reader123"},
{
"OR": [
{"genre": {"in": ["sci-fi", "fantasy"]}},
@@ -400,8 +406,8 @@ results = m.search(
try:
results = m.search(
"test query",
user_id="alice",
filters={
"user_id": "alice",
"invalid_operator": {"unknown": "value"}
}
)
@@ -409,8 +415,7 @@ except ValueError as e:
print(f"Filter error: {e}")
results = m.search(
"test query",
user_id="alice",
filters={"category": "general"}
filters={"user_id": "alice", "category": "general"}
)
```
+8 -10
View File
@@ -189,7 +189,7 @@ async_memory = AsyncMemory.from_config(config)
async def search_with_rerank():
return await async_memory.search(
"What are my preferences?",
user_id="alice",
filters={"user_id": "alice"},
rerank=True
)
@@ -272,7 +272,7 @@ results = m.search("query", filters={"user_id": "alice"})
```python
results = m.search(
"What are my food preferences?",
user_id="alice"
filters={"user_id": "alice"}
)
for result in results["results"]:
@@ -289,13 +289,13 @@ for result in results["results"]:
```python
results_with_rerank = m.search(
"What movies do I like?",
user_id="alice",
filters={"user_id": "alice"},
rerank=True
)
results_without_rerank = m.search(
"What movies do I like?",
user_id="alice",
filters={"user_id": "alice"},
rerank=False
)
```
@@ -313,9 +313,9 @@ results_without_rerank = m.search(
```python
results = m.search(
"important work tasks",
user_id="alice",
filters={
"AND": [
{"user_id": "alice"},
{"category": "work"},
{"priority": {"gte": 7}}
]
@@ -348,8 +348,7 @@ m = Memory.from_config(config)
results = m.search(
"customer having login issues with mobile app",
agent_id="support_bot",
filters={"category": "technical_support"},
filters={"agent_id": "support_bot", "category": "technical_support"},
rerank=True
)
```
@@ -363,8 +362,7 @@ results = m.search(
```python
results = m.search(
"science fiction books with space exploration themes",
user_id="reader123",
filters={"content_type": "book_recommendation"},
filters={"user_id": "reader123", "content_type": "book_recommendation"},
rerank=True,
top_k=10
)
@@ -383,9 +381,9 @@ for result in results["results"]:
```python
results = m.search(
"What restaurants did I enjoy last month that had good vegetarian options?",
user_id="foodie_user",
filters={
"AND": [
{"user_id": "foodie_user"},
{"category": "dining"},
{"rating": {"gte": 4}},
{"date": {"gte": "2024-01-01"}}
-3
View File
@@ -76,7 +76,6 @@ By default the Node SDK uses local-friendly settings (OpenAI `gpt-5-mini`, `text
import { Memory } from "mem0ai/oss";
const memory = new Memory({
version: "v1.1",
embedder: {
provider: "openai",
config: {
@@ -221,7 +220,6 @@ Mem0 offers granular configuration across vector stores, LLMs, embedders, and hi
| Parameter | Description | Default |
| --- | --- | --- |
| `historyDbPath` | Path to history database | `"{mem0_dir}/history.db"` |
| `version` | API version | `"v1.0"` |
| `customInstructions` | Custom processing prompt | `undefined` |
</Accordion>
<Accordion title="History store">
@@ -234,7 +232,6 @@ Mem0 offers granular configuration across vector stores, LLMs, embedders, and hi
<Accordion title="Complete config example">
```ts
const config = {
version: "v1.1",
embedder: {
provider: "openai",
config: {
-57
View File
@@ -1,57 +0,0 @@
---
title: 'Full Stack'
---
The Full Stack app example can be found [here](https://github.com/mem0ai/mem0/tree/main/embedchain/examples/full_stack).
This guide will help you setup the full stack app on your local machine.
### 🐳 Docker Setup
- Create a `docker-compose.yml` file and paste the following code in it.
```yaml
version: "3.9"
services:
backend:
container_name: embedchain-backend
restart: unless-stopped
build:
context: backend
dockerfile: Dockerfile
image: embedchain/backend
ports:
- "8000:8000"
frontend:
container_name: embedchain-frontend
restart: unless-stopped
build:
context: frontend
dockerfile: Dockerfile
image: embedchain/frontend
ports:
- "3000:3000"
depends_on:
- "backend"
```
- Run the following command,
```bash
docker-compose up
```
📝 Note: The build command might take a while to install all the packages depending on your system resources.
![Fullstack App](https://github.com/embedchain/embedchain/assets/73601258/c7c04bbb-9be7-4669-a6af-039e7e972a13)
### 🚀 Usage Instructions
- Go to [http://localhost:3000/](http://localhost:3000/) in your browser to view the dashboard.
- Add your `OpenAI API key` 🔑 in the Settings.
- Create a new bot and you'll be navigated to its page.
- Here you can add your data sources and then chat with the bot.
🎉 Happy Chatting! 🎉
-1
View File
@@ -182,7 +182,6 @@
"examples/rest-api/check-status"
]
},
"examples/full_stack",
"examples/openai-assistant",
"examples/opensource-assistant",
"examples/nextjs-assistant",
-3
View File
@@ -17,9 +17,6 @@ Chatbots, especially those powered by Large Language Models (LLMs), have a wide
Embedchain provides the right set of tools to create chatbots for the above use cases. Refer to the following examples of chatbots on and you can built on top of these examples:
<CardGroup cols={2}>
<Card title="Full Stack Chatbot" href="/examples/full_stack" icon="link">
Learn to integrate a chatbot within a full-stack application.
</Card>
<Card title="Custom GPT Creation" href="https://app.embedchain.ai/create-your-gpt/" target="_blank" icon="link">
Build a tailored GPT chatbot suited for your specific needs.
</Card>
@@ -1,2 +1,2 @@
gradio==4.11.0
gradio>=4.14.0
embedchain
@@ -1,2 +1,2 @@
chainlit==0.7.700
embedchain==0.1.31
embedchain==0.1.57
@@ -1,3 +1,3 @@
discord==2.3.1
embedchain==0.0.58
embedchain==0.1.57
python-dotenv==1.0.0
@@ -1 +0,0 @@
.git
-18
View File
@@ -1,18 +0,0 @@
## 🐳 Docker Setup
- To setup full stack app using docker, run the following command inside this folder using your terminal.
```bash
docker-compose up --build
```
📝 Note: The build command might take a while to install all the packages depending on your system resources.
## 🚀 Usage Instructions
- Go to [http://localhost:3000/](http://localhost:3000/) in your browser to view the dashboard.
- Add your `OpenAI API key` 🔑 in the Settings.
- Create a new bot and you'll be navigated to its page.
- Here you can add your data sources and then chat with the bot.
🎉 Happy Chatting! 🎉
@@ -1,7 +0,0 @@
__pycache__/
database
pyenv
venv
.env
.git
trash_files/
@@ -1,6 +0,0 @@
__pycache__
database
pyenv
venv
.env
trash_files/
@@ -1,11 +0,0 @@
FROM python:3.11-slim AS backend
WORKDIR /usr/src/app/backend
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["python", "server.py"]
@@ -1,14 +0,0 @@
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class APIKey(db.Model):
id = db.Column(db.Integer, primary_key=True)
key = db.Column(db.String(255), nullable=False)
class BotList(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(255), nullable=False)
slug = db.Column(db.String(255), nullable=False, unique=True)
@@ -1,5 +0,0 @@
import os
ROOT_DIRECTORY = os.getcwd()
DB_DIRECTORY_OPEN_AI = os.path.join(os.getcwd(), "database", "open_ai")
DB_DIRECTORY_OPEN_SOURCE = os.path.join(os.getcwd(), "database", "open_source")
@@ -1,32 +0,0 @@
import os
from flask import Blueprint, jsonify, make_response, request
from models import APIKey
from paths import DB_DIRECTORY_OPEN_AI
from embedchain import App
chat_response_bp = Blueprint("chat_response", __name__)
# Chat Response for user query
@chat_response_bp.route("/api/get_answer", methods=["POST"])
def get_answer():
try:
data = request.get_json()
query = data.get("query")
embedding_model = data.get("embedding_model")
app_type = data.get("app_type")
if embedding_model == "open_ai":
os.chdir(DB_DIRECTORY_OPEN_AI)
api_key = APIKey.query.first().key
os.environ["OPENAI_API_KEY"] = api_key
if app_type == "app":
chat_bot = App()
response = chat_bot.chat(query)
return make_response(jsonify({"response": response}), 200)
except Exception as e:
return make_response(jsonify({"error": str(e)}), 400)
@@ -1,72 +0,0 @@
from flask import Blueprint, jsonify, make_response, request
from models import APIKey, BotList, db
dashboard_bp = Blueprint("dashboard", __name__)
# Set Open AI Key
@dashboard_bp.route("/api/set_key", methods=["POST"])
def set_key():
data = request.get_json()
api_key = data["openAIKey"]
existing_key = APIKey.query.first()
if existing_key:
existing_key.key = api_key
else:
new_key = APIKey(key=api_key)
db.session.add(new_key)
db.session.commit()
return make_response(jsonify(message="API key saved successfully"), 200)
# Check OpenAI Key
@dashboard_bp.route("/api/check_key", methods=["GET"])
def check_key():
existing_key = APIKey.query.first()
if existing_key:
return make_response(jsonify(status="ok", message="OpenAI Key exists"), 200)
else:
return make_response(jsonify(status="fail", message="No OpenAI Key present"), 200)
# Create a bot
@dashboard_bp.route("/api/create_bot", methods=["POST"])
def create_bot():
data = request.get_json()
name = data["name"]
slug = name.lower().replace(" ", "_")
existing_bot = BotList.query.filter_by(slug=slug).first()
if existing_bot:
return (make_response(jsonify(message="Bot already exists"), 400),)
new_bot = BotList(name=name, slug=slug)
db.session.add(new_bot)
db.session.commit()
return make_response(jsonify(message="Bot created successfully"), 200)
# Delete a bot
@dashboard_bp.route("/api/delete_bot", methods=["POST"])
def delete_bot():
data = request.get_json()
slug = data.get("slug")
bot = BotList.query.filter_by(slug=slug).first()
if bot:
db.session.delete(bot)
db.session.commit()
return make_response(jsonify(message="Bot deleted successfully"), 200)
return make_response(jsonify(message="Bot not found"), 400)
# Get the list of bots
@dashboard_bp.route("/api/get_bots", methods=["GET"])
def get_bots():
bots = BotList.query.all()
bot_list = []
for bot in bots:
bot_list.append(
{
"name": bot.name,
"slug": bot.slug,
}
)
return jsonify(bot_list)
@@ -1,27 +0,0 @@
import os
from flask import Blueprint, jsonify, make_response, request
from models import APIKey
from paths import DB_DIRECTORY_OPEN_AI
from embedchain import App
sources_bp = Blueprint("sources", __name__)
# API route to add data sources
@sources_bp.route("/api/add_sources", methods=["POST"])
def add_sources():
try:
embedding_model = request.json.get("embedding_model")
name = request.json.get("name")
value = request.json.get("value")
if embedding_model == "open_ai":
os.chdir(DB_DIRECTORY_OPEN_AI)
api_key = APIKey.query.first().key
os.environ["OPENAI_API_KEY"] = api_key
chat_bot = App()
chat_bot.add(name, value)
return make_response(jsonify(message="Sources added successfully"), 200)
except Exception as e:
return make_response(jsonify(message=f"Error adding sources: {str(e)}"), 400)
@@ -1,27 +0,0 @@
import os
from flask import Flask
from models import db
from paths import DB_DIRECTORY_OPEN_AI, ROOT_DIRECTORY
from routes.chat_response import chat_response_bp
from routes.dashboard import dashboard_bp
from routes.sources import sources_bp
app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///" + os.path.join(ROOT_DIRECTORY, "database", "user_data.db")
app.register_blueprint(dashboard_bp)
app.register_blueprint(sources_bp)
app.register_blueprint(chat_response_bp)
# Initialize the app on startup
def load_app():
os.makedirs(DB_DIRECTORY_OPEN_AI, exist_ok=True)
db.init_app(app)
with app.app_context():
db.create_all()
if __name__ == "__main__":
load_app()
app.run(host="0.0.0.0", debug=True, port=8000)
@@ -1,24 +0,0 @@
version: "3.9"
services:
backend:
container_name: embedchain-backend
restart: unless-stopped
build:
context: backend
dockerfile: Dockerfile
image: embedchain/backend
ports:
- "8000:8000"
frontend:
container_name: embedchain-frontend
restart: unless-stopped
build:
context: frontend
dockerfile: Dockerfile
image: embedchain/frontend
ports:
- "3000:3000"
depends_on:
- "backend"
@@ -1,7 +0,0 @@
node_modules/
build
dist
.env
.git
.next/
trash_files/
@@ -1,3 +0,0 @@
{
"extends": ["next/babel", "next/core-web-vitals"]
}
@@ -1,38 +0,0 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.js
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# local env files
.env*.local
# vercel
.vercel
# typescript
*.tsbuildinfo
next-env.d.ts
vscode/
trash_files/
@@ -1,14 +0,0 @@
FROM node:18-slim AS frontend
WORKDIR /usr/src/app/frontend
COPY package.json .
COPY package-lock.json .
RUN npm install
COPY . .
RUN npm run build
EXPOSE 3000
CMD ["npm", "start"]
@@ -1,7 +0,0 @@
{
"compilerOptions": {
"paths": {
"@/*": ["./src/*"]
}
}
}
@@ -1,26 +0,0 @@
/** @type {import('next').NextConfig} */
const nextConfig = {
async rewrites() {
return [
{
source: "/api/:path*",
destination: "http://backend:8000/api/:path*",
},
];
},
reactStrictMode: true,
experimental: {
proxyTimeout: 6000000,
},
webpack(config) {
config.module.rules.push({
test: /\.svg$/i,
issuer: /\.[jt]sx?$/,
use: ["@svgr/webpack"],
});
return config;
},
};
module.exports = nextConfig;
File diff suppressed because it is too large Load Diff
@@ -1,25 +0,0 @@
{
"name": "frontend",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint"
},
"dependencies": {
"autoprefixer": "^10.4.14",
"eslint": "8.44.0",
"eslint-config-next": "13.4.9",
"flowbite": "^1.7.0",
"next": "13.4.9",
"postcss": "8.4.25",
"react": "18.2.0",
"react-dom": "18.2.0",
"tailwindcss": "3.3.2"
},
"devDependencies": {
"@svgr/webpack": "^8.0.1"
}
}
@@ -1,6 +0,0 @@
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
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<path d="M18.41,0.01H4V9h2V2.01h10v6h6v14H4v2h20V5.6L18.41,0.01z M18,2.43l3.59,3.59H18V2.43z M21,18v2h-1h-1h-1v-8h2v6H21z M7,12 H6v2h1v6h2v-6h1v-2H9H7z M15,12l-1,1.61L13,12v0h-2v8h2v-4.21l1,1.61l1-1.61V20h2v-8L15,12L15,12z M3,15H2v-3H0v8h2v-3h1v3h2v-8H3 V15z"></path>
</g>
</svg>

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@@ -1,39 +0,0 @@
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viewBox="0 -3 20 20"
version="1.1"
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
fill="currentColor"
>
<g id="SVGRepo_bgCarrier" stroke-width="0"></g>
<g
id="SVGRepo_tracerCarrier"
stroke-linecap="round"
stroke-linejoin="round"
></g>
<g id="SVGRepo_iconCarrier">
<title>youtube [#168]</title> <desc>Created with Sketch.</desc>
<defs> </defs>
<g
id="Page-1"
stroke="none"
stroke-width="1"
fill="none"
fill-rule="evenodd"
>
<g
id="Dribbble-Light-Preview"
transform="translate(-300.000000, -7442.000000)"
fill="currentColor"
>
<g id="icons" transform="translate(56.000000, 160.000000)">
<path
d="M251.988432,7291.58588 L251.988432,7285.97425 C253.980638,7286.91168 255.523602,7287.8172 257.348463,7288.79353 C255.843351,7289.62824 253.980638,7290.56468 251.988432,7291.58588 M263.090998,7283.18289 C262.747343,7282.73013 262.161634,7282.37809 261.538073,7282.26141 C259.705243,7281.91336 248.270974,7281.91237 246.439141,7282.26141 C245.939097,7282.35515 245.493839,7282.58153 245.111335,7282.93357 C243.49964,7284.42947 244.004664,7292.45151 244.393145,7293.75096 C244.556505,7294.31342 244.767679,7294.71931 245.033639,7294.98558 C245.376298,7295.33761 245.845463,7295.57995 246.384355,7295.68865 C247.893451,7296.0008 255.668037,7296.17532 261.506198,7295.73552 C262.044094,7295.64178 262.520231,7295.39147 262.895762,7295.02447 C264.385932,7293.53455 264.28433,7285.06174 263.090998,7283.18289"
id="youtube-[#168]"
>
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Binary file not shown.

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@@ -1,9 +0,0 @@
export default function PageWrapper({ children }) {
return (
<>
<div className="flex pt-4 px-4 sm:ml-64 min-h-screen">
<div className="flex-grow pt-4 px-4 rounded-lg">{children}</div>
</div>
</>
);
}
@@ -1,16 +0,0 @@
export default function BotWrapper({ children }) {
return (
<>
<div className="rounded-lg">
<div className="flex flex-row items-center">
<div className="flex items-center justify-center h-10 w-10 rounded-full bg-black text-white flex-shrink-0">
B
</div>
<div className="ml-3 text-sm bg-white py-2 px-4 shadow-lg rounded-xl">
<div>{children}</div>
</div>
</div>
</div>
</>
);
}
@@ -1,16 +0,0 @@
export default function HumanWrapper({ children }) {
return (
<>
<div className="rounded-lg">
<div className="flex items-center justify-start flex-row-reverse">
<div className="flex items-center justify-center h-10 w-10 rounded-full bg-blue-800 text-white flex-shrink-0">
H
</div>
<div className="mr-3 text-sm bg-blue-200 py-2 px-4 shadow-lg rounded-xl">
<div>{children}</div>
</div>
</div>
</div>
</>
);
}
@@ -1,73 +0,0 @@
import { useState } from "react";
import { useRouter } from "next/router";
export default function CreateBot() {
const [botName, setBotName] = useState("");
const [status, setStatus] = useState("");
const router = useRouter();
const handleCreateBot = async (e) => {
e.preventDefault();
const data = {
name: botName,
};
const response = await fetch("/api/create_bot", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify(data),
});
if (response.ok) {
const botSlug = botName.toLowerCase().replace(/\s+/g, "_");
router.push(`/${botSlug}/app`);
} else {
setBotName("");
setStatus("fail");
setTimeout(() => {
setStatus("");
}, 3000);
}
};
return (
<>
<div className="w-full">
{/* Create Bot */}
<h2 className="text-xl font-bold text-gray-800">CREATE BOT</h2>
<form className="py-2" onSubmit={handleCreateBot}>
<label
htmlFor="bot_name"
className="block mb-2 text-sm font-medium text-gray-900"
>
Name of Bot
</label>
<div className="flex flex-col sm:flex-row gap-x-4 gap-y-4">
<input
type="text"
id="bot_name"
className="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
placeholder="Eg. Naval Ravikant"
required
value={botName}
onChange={(e) => setBotName(e.target.value)}
/>
<button
type="submit"
className="h-fit text-white bg-black hover:bg-blue-800 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm w-full sm:w-auto px-5 py-2.5 text-center"
>
Submit
</button>
</div>
{status === "fail" && (
<div className="text-red-600 text-sm font-bold py-1">
An error occurred while creating your bot!
</div>
)}
</form>
</div>
</>
);
}
@@ -1,71 +0,0 @@
import { useEffect, useState } from "react";
import { useRouter } from "next/router";
export default function DeleteBot() {
const [bots, setBots] = useState([]);
const router = useRouter();
useEffect(() => {
const fetchBots = async () => {
const response = await fetch("/api/get_bots");
const data = await response.json();
setBots(data);
};
fetchBots();
}, []);
const handleDeleteBot = async (event) => {
event.preventDefault();
const selectedBotSlug = event.target.bot_name.value;
if (selectedBotSlug === "none") {
return;
}
const response = await fetch("/api/delete_bot", {
method: "POST",
body: JSON.stringify({ slug: selectedBotSlug }),
headers: {
"Content-Type": "application/json",
},
});
if (response.ok) {
router.reload();
}
};
return (
<>
{bots.length !== 0 && (
<div className="w-full">
{/* Delete Bot */}
<h2 className="text-xl font-bold text-gray-800">DELETE BOTS</h2>
<form className="py-2" onSubmit={handleDeleteBot}>
<label className="block mb-2 text-sm font-medium text-gray-900">
List of Bots
</label>
<div className="flex flex-col sm:flex-row gap-x-4 gap-y-4">
<select
name="bot_name"
defaultValue="none"
className="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
>
<option value="none">Select a Bot</option>
{bots.map((bot) => (
<option key={bot.slug} value={bot.slug}>
{bot.name}
</option>
))}
</select>
<button
type="submit"
className="h-fit text-white bg-red-600 hover:bg-red-600/90 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm w-full sm:w-auto px-5 py-2.5 text-center"
>
Delete
</button>
</div>
</form>
</div>
)}
</>
);
}
@@ -1,47 +0,0 @@
import { useState } from "react";
export default function PurgeChats() {
const [status, setStatus] = useState("");
const handleChatsPurge = (event) => {
event.preventDefault();
localStorage.clear();
setStatus("success");
setTimeout(() => {
setStatus(false);
}, 3000);
};
return (
<>
<div className="w-full">
{/* Purge Chats */}
<h2 className="text-xl font-bold text-gray-800">PURGE CHATS</h2>
<form className="py-2" onSubmit={handleChatsPurge}>
<label className="block mb-2 text-sm font-medium text-red-600">
Warning
</label>
<div className="flex flex-col sm:flex-row gap-x-4 gap-y-4">
<div
type="text"
className="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
>
The following action will clear all your chat logs. Proceed with
caution!
</div>
<button
type="submit"
className="h-fit text-white bg-red-600 hover:bg-red-600/80 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm w-full sm:w-auto px-5 py-2.5 text-center"
>
Purge
</button>
</div>
{status === "success" && (
<div className="text-green-600 text-sm font-bold py-1">
Your chats have been purged!
</div>
)}
</form>
</div>
</>
);
}
@@ -1,73 +0,0 @@
import { useState } from "react";
export default function SetOpenAIKey({ setIsKeyPresent }) {
const [openAIKey, setOpenAIKey] = useState("");
const [status, setStatus] = useState("");
const handleOpenAIKey = async (e) => {
e.preventDefault();
const response = await fetch("/api/set_key", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ openAIKey }),
});
if (response.ok) {
setOpenAIKey("");
setStatus("success");
setIsKeyPresent(true);
} else {
setStatus("fail");
}
setTimeout(() => {
setStatus("");
}, 3000);
};
return (
<>
<div className="w-full">
{/* Set Open AI Key */}
<h2 className="text-xl font-bold text-gray-800">SET OPENAI KEY</h2>
<form className="py-2" onSubmit={handleOpenAIKey}>
<label
htmlFor="openai_key"
className="block mb-2 text-sm font-medium text-gray-900"
>
OpenAI Key
</label>
<div className="flex flex-col sm:flex-row gap-x-4 gap-y-4">
<input
type="password"
id="openai_key"
className="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
placeholder="Enter Open AI Key here"
required
value={openAIKey}
onChange={(e) => setOpenAIKey(e.target.value)}
/>
<button
type="submit"
className="h-fit text-white bg-black hover:bg-blue-800 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm w-full sm:w-auto px-5 py-2.5 text-center"
>
Submit
</button>
</div>
{status === "success" && (
<div className="text-green-600 text-sm font-bold py-1">
Your Open AI key has been saved successfully!
</div>
)}
{status === "fail" && (
<div className="text-red-600 text-sm font-bold py-1">
An error occurred while saving your OpenAI Key!
</div>
)}
</form>
</div>
</>
);
}
@@ -1,156 +0,0 @@
import { useRouter } from "next/router";
import React, { useState, useEffect } from "react";
import BotWrapper from "@/components/chat/BotWrapper";
import HumanWrapper from "@/components/chat/HumanWrapper";
import SetSources from "@/containers/SetSources";
export default function ChatWindow({ embedding_model, app_type, setBotTitle }) {
const [bot, setBot] = useState(null);
const [chats, setChats] = useState([]);
const [isLoading, setIsLoading] = useState(false);
const [selectChat, setSelectChat] = useState(true);
const router = useRouter();
const { bot_slug } = router.query;
useEffect(() => {
if (bot_slug) {
const fetchBots = async () => {
const response = await fetch("/api/get_bots");
const data = await response.json();
const matchingBot = data.find((item) => item.slug === bot_slug);
setBot(matchingBot);
setBotTitle(matchingBot.name);
};
fetchBots();
}
}, [bot_slug]);
useEffect(() => {
const storedChats = localStorage.getItem(`chat_${bot_slug}_${app_type}`);
if (storedChats) {
const parsedChats = JSON.parse(storedChats);
setChats(parsedChats.chats);
}
}, [app_type, bot_slug]);
const handleChatResponse = async (e) => {
e.preventDefault();
setIsLoading(true);
const queryInput = e.target.query.value;
e.target.query.value = "";
const chatEntry = {
sender: "H",
message: queryInput,
};
setChats((prevChats) => [...prevChats, chatEntry]);
const response = await fetch("/api/get_answer", {
method: "POST",
body: JSON.stringify({
query: queryInput,
embedding_model,
app_type,
}),
headers: {
"Content-Type": "application/json",
},
});
const data = await response.json();
if (response.ok) {
const botResponse = data.response;
const botEntry = {
sender: "B",
message: botResponse,
};
setIsLoading(false);
setChats((prevChats) => [...prevChats, botEntry]);
const savedChats = {
chats: [...chats, chatEntry, botEntry],
};
localStorage.setItem(
`chat_${bot_slug}_${app_type}`,
JSON.stringify(savedChats)
);
} else {
router.reload();
}
};
return (
<>
<div className="flex flex-col justify-between h-full">
<div className="space-y-4 overflow-x-auto h-full pb-8">
{/* Greeting Message */}
<BotWrapper>
Hi, I am {bot?.name}. How can I help you today?
</BotWrapper>
{/* Chat Messages */}
{chats.map((chat, index) => (
<React.Fragment key={index}>
{chat.sender === "B" ? (
<BotWrapper>{chat.message}</BotWrapper>
) : (
<HumanWrapper>{chat.message}</HumanWrapper>
)}
</React.Fragment>
))}
{/* Loader */}
{isLoading && (
<BotWrapper>
<div className="flex items-center justify-center space-x-2 animate-pulse">
<div className="w-2 h-2 bg-black rounded-full"></div>
<div className="w-2 h-2 bg-black rounded-full"></div>
<div className="w-2 h-2 bg-black rounded-full"></div>
</div>
</BotWrapper>
)}
</div>
<div className="bg-white fixed bottom-0 left-0 right-0 h-28 sm:h-16"></div>
{/* Query Form */}
<div className="flex flex-row gap-x-2 sticky bottom-3">
<SetSources
setChats={setChats}
embedding_model={embedding_model}
setSelectChat={setSelectChat}
/>
{selectChat && (
<form
onSubmit={handleChatResponse}
className="w-full flex flex-col sm:flex-row gap-y-2 gap-x-2"
>
<div className="w-full">
<input
id="query"
name="query"
type="text"
placeholder="Enter your query..."
className="text-sm w-full border-2 border-black rounded-xl focus:outline-none focus:border-blue-800 sm:pl-4 h-11"
required
/>
</div>
<div className="w-full sm:w-fit">
<button
type="submit"
id="sender"
disabled={isLoading}
className={`${
isLoading ? "opacity-60" : ""
} w-full bg-black hover:bg-blue-800 rounded-xl text-lg text-white px-6 h-11`}
>
Send
</button>
</div>
</form>
)}
</div>
</div>
</>
);
}
@@ -1,160 +0,0 @@
import { useState } from "react";
import PlusIcon from "../../public/icons/plus.svg";
import CrossIcon from "../../public/icons/cross.svg";
import YoutubeIcon from "../../public/icons/youtube.svg";
import PDFIcon from "../../public/icons/pdf.svg";
import WebIcon from "../../public/icons/web.svg";
import DocIcon from "../../public/icons/doc.svg";
import SitemapIcon from "../../public/icons/sitemap.svg";
import TextIcon from "../../public/icons/text.svg";
export default function SetSources({
setChats,
embedding_model,
setSelectChat,
}) {
const [sourceName, setSourceName] = useState("");
const [sourceValue, setSourceValue] = useState("");
const [isDropdownOpen, setIsDropdownOpen] = useState(false);
const [isLoading, setIsLoading] = useState(false);
const dataTypes = {
youtube_video: "YouTube Video",
pdf_file: "PDF File",
web_page: "Web Page",
doc_file: "Doc File",
sitemap: "Sitemap",
text: "Text",
};
const dataIcons = {
youtube_video: <YoutubeIcon className="w-5 h-5 mr-3" />,
pdf_file: <PDFIcon className="w-5 h-5 mr-3" />,
web_page: <WebIcon className="w-5 h-5 mr-3" />,
doc_file: <DocIcon className="w-5 h-5 mr-3" />,
sitemap: <SitemapIcon className="w-5 h-5 mr-3" />,
text: <TextIcon className="w-5 h-5 mr-3" />,
};
const handleDropdownClose = () => {
setIsDropdownOpen(false);
setSourceName("");
setSelectChat(true);
};
const handleDropdownSelect = (dataType) => {
setSourceName(dataType);
setSourceValue("");
setIsDropdownOpen(false);
setSelectChat(false);
};
const handleAddDataSource = async (e) => {
e.preventDefault();
setIsLoading(true);
const addDataSourceEntry = {
sender: "B",
message: `Adding the following ${dataTypes[sourceName]}: ${sourceValue}`,
};
setChats((prevChats) => [...prevChats, addDataSourceEntry]);
let name = sourceName;
let value = sourceValue;
setSourceValue("");
const response = await fetch("/api/add_sources", {
method: "POST",
body: JSON.stringify({
embedding_model,
name,
value,
}),
headers: {
"Content-Type": "application/json",
},
});
if (response.ok) {
const successEntry = {
sender: "B",
message: `Successfully added ${dataTypes[sourceName]}!`,
};
setChats((prevChats) => [...prevChats, successEntry]);
} else {
const errorEntry = {
sender: "B",
message: `Failed to add ${dataTypes[sourceName]}. Please try again.`,
};
setChats((prevChats) => [...prevChats, errorEntry]);
}
setSourceName("");
setIsLoading(false);
setSelectChat(true);
};
return (
<>
<div className="w-fit">
<button
type="button"
onClick={() => setIsDropdownOpen(!isDropdownOpen)}
className="w-fit p-2.5 rounded-xl text-white bg-black hover:bg-blue-800 focus:ring-4 focus:outline-none focus:ring-blue-300"
>
<PlusIcon className="w-6 h-6" />
</button>
{isDropdownOpen && (
<div className="absolute left-0 bottom-full bg-white border border-gray-300 rounded-lg shadow-lg mb-2">
<ul className="py-1">
<li
className="block px-4 py-2 text-sm text-black cursor-pointer hover:bg-gray-200"
onClick={handleDropdownClose}
>
<span className="flex items-center text-red-600">
<CrossIcon className="w-5 h-5 mr-3" />
Close
</span>
</li>
{Object.entries(dataTypes).map(([key, value]) => (
<li
key={key}
className="block px-4 py-2 text-sm text-black cursor-pointer hover:bg-gray-200"
onClick={() => handleDropdownSelect(key)}
>
<span className="flex items-center">
{dataIcons[key]}
{value}
</span>
</li>
))}
</ul>
</div>
)}
</div>
{sourceName && (
<form
onSubmit={handleAddDataSource}
className="w-full flex flex-col sm:flex-row gap-y-2 gap-x-2 items-center"
>
<div className="w-full">
<input
type="text"
placeholder="Enter URL, Data or File path here..."
className="text-sm w-full border-2 border-black rounded-xl focus:outline-none focus:border-blue-800 sm:pl-4 h-11"
required
value={sourceValue}
onChange={(e) => setSourceValue(e.target.value)}
/>
</div>
<div className="w-full sm:w-fit">
<button
type="submit"
disabled={isLoading}
className={`${
isLoading ? "opacity-60" : ""
} w-full bg-black hover:bg-blue-800 rounded-xl text-lg text-white px-6 h-11`}
>
Send
</button>
</div>
</form>
)}
</>
);
}
@@ -1,131 +0,0 @@
import Link from "next/link";
import Image from "next/image";
import React, { useState, useEffect } from "react";
import DrawerIcon from "../../public/icons/drawer.svg";
import SettingsIcon from "../../public/icons/settings.svg";
import BotIcon from "../../public/icons/bot.svg";
import DropdownIcon from "../../public/icons/dropdown.svg";
import TwitterIcon from "../../public/icons/twitter.svg";
import GithubIcon from "../../public/icons/github.svg";
import LinkedinIcon from "../../public/icons/linkedin.svg";
export default function Sidebar() {
const [bots, setBots] = useState([]);
useEffect(() => {
const fetchBots = async () => {
const response = await fetch("/api/get_bots");
const data = await response.json();
setBots(data);
};
fetchBots();
}, []);
const toggleDropdown = () => {
const dropdown = document.getElementById("dropdown-toggle");
dropdown.classList.toggle("hidden");
};
return (
<>
{/* Mobile Toggle */}
<button
data-drawer-target="logo-sidebar"
data-drawer-toggle="logo-sidebar"
aria-controls="logo-sidebar"
type="button"
className="inline-flex items-center p-2 mt-2 ml-3 text-sm text-gray-500 rounded-lg sm:hidden hover:bg-gray-200 focus:outline-none focus:ring-2 focus:ring-gray-200"
>
<DrawerIcon className="w-6 h-6" />
</button>
{/* Sidebar */}
<div
id="logo-sidebar"
className="fixed top-0 left-0 z-40 w-64 h-screen transition-transform -translate-x-full sm:translate-x-0"
>
<div className="flex flex-col h-full px-3 py-4 overflow-y-auto bg-gray-100">
<div className="pb-10">
<Link href="/" className="flex items-center justify-evenly mb-5">
<Image
src="/images/embedchain.png"
alt="Embedchain Logo"
width={45}
height={0}
className="block h-auto w-auto"
/>
<span className="self-center text-2xl font-bold whitespace-nowrap">
Embedchain
</span>
</Link>
<ul className="space-y-2 font-medium text-lg">
{/* Settings */}
<li>
<Link
href="/"
className="flex items-center p-2 text-gray-900 rounded-lg hover:bg-gray-200 group"
>
<SettingsIcon className="w-6 h-6 text-gray-600 transition duration-75 group-hover:text-gray-900" />
<span className="ml-3">Settings</span>
</Link>
</li>
{/* Bots */}
{bots.length !== 0 && (
<li>
<button
type="button"
className="flex items-center w-full p-2 text-base text-gray-900 transition duration-75 rounded-lg group hover:bg-gray-200"
onClick={toggleDropdown}
>
<BotIcon className="w-6 h-6 text-gray-600 transition duration-75 group-hover:text-gray-900" />
<span className="flex-1 ml-3 text-left whitespace-nowrap">
Bots
</span>
<DropdownIcon className="w-3 h-3" />
</button>
<ul
id="dropdown-toggle"
className="hidden text-sm py-2 space-y-2"
>
{bots.map((bot, index) => (
<React.Fragment key={index}>
<li>
<Link
href={`/${bot.slug}/app`}
className="flex items-center w-full p-2 text-gray-900 transition duration-75 rounded-lg pl-11 group hover:bg-gray-200"
>
{bot.name}
</Link>
</li>
</React.Fragment>
))}
</ul>
</li>
)}
</ul>
</div>
<div className="bg-gray-200 absolute bottom-0 left-0 right-0 h-20"></div>
{/* Social Icons */}
<div className="mt-auto mb-3 flex flex-row justify-evenly sticky bottom-3">
<a href="https://twitter.com/embedchain" target="blank">
<TwitterIcon className="w-6 h-6 text-gray-600 transition duration-75 hover:text-gray-900" />
</a>
<a href="https://github.com/embedchain/embedchain" target="blank">
<GithubIcon className="w-6 h-6 text-gray-600 transition duration-75 hover:text-gray-900" />
</a>
<a
href="https://www.linkedin.com/company/embedchain"
target="blank"
>
<LinkedinIcon className="w-6 h-6 text-gray-600 transition duration-75 hover:text-gray-900" />
</a>
</div>
</div>
</div>
</>
);
}
@@ -1,25 +0,0 @@
import Wrapper from "@/components/PageWrapper";
import Sidebar from "@/containers/Sidebar";
import ChatWindow from "@/containers/ChatWindow";
import { useState } from "react";
import Head from "next/head";
export default function App() {
const [botTitle, setBotTitle] = useState("");
return (
<>
<Head>
<title>{botTitle}</title>
</Head>
<Sidebar />
<Wrapper>
<ChatWindow
embedding_model="open_ai"
app_type="app"
setBotTitle={setBotTitle}
/>
</Wrapper>
</>
);
}
@@ -1,14 +0,0 @@
import "@/styles/globals.css";
import Script from "next/script";
export default function App({ Component, pageProps }) {
return (
<>
<Script
src="https://cdnjs.cloudflare.com/ajax/libs/flowbite/1.7.0/flowbite.min.js"
strategy="beforeInteractive"
/>
<Component {...pageProps} />
</>
);
}
@@ -1,18 +0,0 @@
import { Html, Head, Main, NextScript } from "next/document";
export default function Document() {
return (
<Html lang="en">
<Head>
<link
href="https://cdnjs.cloudflare.com/ajax/libs/flowbite/1.7.0/flowbite.min.css"
rel="stylesheet"
/>
</Head>
<body>
<Main />
<NextScript />
</body>
</Html>
);
}

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