memorylane
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@memorylaneremember that I like short replies"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MemoryLane
MemoryLane gives AI agents durable context.
Agent-native memory layer for persistent context, semantic recall, session history, SDK, CLI, API, and MCP.
Install
npm install -g @talocode/memorylaneOr run directly:
npx @talocode/memorylane demoRelated MCP server: Central Intelligence
Quick Start
# Save a memory
memorylane remember "User prefers short, direct X posts" --tag writing --tag preference
# Recall it later
memorylane recall "How should I write X posts?"
# Search memories
memorylane search "Talocode"
# List everything
memorylane list
# Run interactive demo
memorylane demoCLI
memorylane --version
memorylane --help
# Core commands
memorylane remember <text> [--tag ...] [--importance N] [--session id]
memorylane recall <query> [--limit N] [--tags ...]
memorylane search <query> [--limit N] [--tags ...]
memorylane list [--limit N] [--tag ...]
memorylane get <id>
memorylane delete <id>
memorylane clear --yes
# Sessions
memorylane sessions create --title "My Session"
memorylane sessions list
memorylane sessions show <sessionId>
# Import/Export
memorylane export --out export.json
memorylane import export.json
# Server
memorylane serve --port 3040
# MCP
memorylane mcp
# Diagnostics
memorylane doctor
memorylane demoAPI
Start the server:
memorylane serve --port 3040Endpoints
Method | Path | Description |
GET |
| Health check |
GET |
| API health check |
GET |
| List available endpoints |
POST |
| Save a memory |
GET |
| List memories |
GET |
| Get a memory |
DELETE |
| Delete a memory |
POST |
| Recall memories |
POST |
| Search memories |
POST |
| Create a session |
GET |
| List sessions |
GET |
| Get session with memories |
POST |
| Export all data |
POST |
| Import data |
Example
curl -X POST http://localhost:3040/v1/memorylane/memories \
-H "Content-Type: application/json" \
-d '{"text": "User prefers short posts", "tags": ["writing", "preference"], "importance": 8}'
curl -X POST http://localhost:3040/v1/memorylane/recall \
-H "Content-Type: application/json" \
-d '{"query": "How should I write?", "limit": 5}'SDK
import { MemoryLaneClient } from "@talocode/memorylane";
const memory = new MemoryLaneClient({ baseUrl: "http://localhost:3040" });
await memory.remember({
text: "User prefers short posts",
tags: ["writing", "preference"],
importance: 8,
});
const results = await memory.recall({
query: "How should I write?",
limit: 5,
});MCP
Add to your MCP config:
{
"mcpServers": {
"memorylane": {
"command": "memorylane",
"args": ["mcp"]
}
}
}Available tools: memorylane_remember, memorylane_recall, memorylane_search, memorylane_list_memories, memorylane_create_session, memorylane_list_sessions, memorylane_export, memorylane_import.
Cloud Auth
Local usage is open-source and keyless. For Talocode Cloud API access, set:
export TALOCODE_API_KEY="your-key"
export MEMORYLANE_CLOUD_MODE=trueInstall Options
npm:
npm install -g @talocode/memorylanenpx:
npx @talocode/memorylaneLinux/macOS:
curl -fsSL https://raw.githubusercontent.com/talocode/memorylane/main/install.sh | bashWindows:
iex ((New-Object System.Net.WebClient).DownloadString('https://raw.githubusercontent.com/talocode/memorylane/main/install.ps1'))Android (Termux):
pkg install nodejs && npm install -g @talocode/memorylane
Examples
See the examples directory:
Docs
Talocode ecosystem
Part of Talocode — open-source workflow layers for builders. Explore sibling projects:
Project | What it is |
Screen-aware voice command layer | |
AI chat & assistant | |
Local coding agent | |
MCP gateway & agent tool control plane | |
Context ingestion for persistent agents | |
Persistent agent memory (this repo) | |
X growth intelligence | |
X reply opportunity intelligence | |
Crawler / SEO intelligence | |
Web extraction to structured data | |
Search layer for agents | |
Invoicing tools | |
Geo intelligence | |
UGC workflows | |
Open-source distribution tools | |
Builder stack platform | |
Trading intelligence | |
Browser automation for agents | |
Org home & control plane | |
Shared agent skills | |
X automation agent | |
Launch tooling | |
CAD workflows | |
Work automation | |
Clip / video loops |
MCP-compatible agents integrate via each product's MCP server where available (Model Context Protocol).
More: github.com/talocode · talocode.site · docs.talocode.site
License
MIT
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