Titan Memory
About
Integrates neural network-based memory encoding for enhanced long-term information storage and contextually-aware interactions across multiple conversations.
Details
- Author
- henryhawke
- Repository
- henryhawke/mcp-titan
- GitHub stars
- 59
- License
- MIT License
- Categories
- Productivity, Developer Tools, Design, File Management, AI, Knowledge Base, Infrastructure, Frontend
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Titan MemoryCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@henryhawke/mcp-titan
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
init_model
Initialize or reconfigure memory system.
bootstrap_memory
Quick-load context from text or URL.
get_memory_state
Inspect current memory contents.
memory_stats
Get statistical summary of the memory.
prune_memory
Clean up low-value memories.
forward_pass
Query memory and get prediction.
train_step
Explicit learning from example pair.
reset_gradients
Clear training state.
save_checkpoint
Save memory to file.
load_checkpoint
Restore memory from checkpoint.
init_learner
Start background learning service.
pause_learner
Pause the learning process.
resume_learner
Resume the learning process.
get_learner_stats
Monitor learning metrics.
add_training_sample
Feed training data.
get_token_flow_metrics
Perform sequence pattern analysis.
get_hierarchical_metrics
Analyze memory tier distribution.
health_check
Check system health and performance.
help
List all available tools with descriptions.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"titan memory": {
"cwd": "/path/to/your/memory/storage",
"env": {},
"args": [
"-y",
"@henryhawke/mcp-titan"
],
"command": "npx"
}
}
}
Linux
{
"cwd": "/path/to/your/memory/storage",
"env": [],
"args": [
"-y",
"@henryhawke/mcp-titan"
],
"command": "npx"
}
Macos
{
"cwd": "/path/to/your/memory/storage",
"env": [],
"args": [
"-y",
"@henryhawke/mcp-titan"
],
"command": "npx"
}
Windows
{
"cwd": "/path/to/your/memory/storage",
"env": [],
"args": [
"/c",
"npx",
"-y",
"@henryhawke/mcp-titan"
],
"command": "cmd"
}
TITAN Memory: AI That Remembers Like You Do
I've kind of given up on this as I don't have money to train it. Feel free to submit any sort of pull requests :)
Turn any AI into a learning companion that remembers across conversations
---
What is MCP-TITAN??
Think about how you remember things:
- 💭 Short-term memory - What you heard 5 seconds ago
- 📝 Long-term memory - Important facts you recall later
- 🗄️ Deep storage - Things you "just know" from years ago
HOPE (Hierarchical Online Persistent Encoding) is the second generation of TITAN and gives AI this same ability. Instead of forgetting everything after each conversation, it builds up knowledge like a human brain.
The Problem HOPE Solves
```
❌ Standard AI (e.g., ChatGPT without plugins):
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