Project presentation
Notes from the original project deck, kept with the decisions and trade-offs.
Orchestrating agentic context by giving LLMs safe, structured access to the filesystem.
Agents are smart but forgetful.
Working across multiple projects (Context A -> Context B) meant manually copying context.
There was no "Clipboard Manager" for AI memory.
You find an insight in a PDF report
(Agent A) but want to apply it to your code (Agent B). Moving this insight is manual
friction. Agents have no persistence. Once you
close the session, the knowledge is gone.
Elevator Pitch: A Node.js server exposing JSON-RPC endpoints to the Agent. Faster context switching. Granular file access. Proving ground for MCPs. (Diagram archived) Async I/O for filesystem ops. AST manipulation. Tool calling interface.
Superseded by MCP servers, but foundational for my understanding of agent inputs.
01 FILEOPS+
FILEOPS
02 The Context Silo+
The Context Silo
03 MCP for Power Users+
MCP for Power Users
A Model Context Protocol (MCP) tool allowing agents to
Read/Write/Zip/Search and "Teleport" context between sessions via a persistent SQLite
memory.
Capability
Traditional Context
FileOps (MCP)
Persistence
Session only.
SQLite Backed Meta-Memory
Cross-Project
Impossible.
"Quick Save" / "Quick Load"
04 Architecture+
Architecture
// The "Teleport" Logic
/*
User: "FileOps, save this TSLA report comparison."
Agent -> FileOps.save("tsla_report_q3", content);
... switch to Cursor IDE ...
User: "FileOps, load the TSLA report."
Agent -> FileOps.load("tsla_report_q3");
> Returns structured summary from SQLite
*/05 The MCP Era+
The MCP Era
06 Power User Impact+
Power User Impact
10x
Full
Tech Demo
07 Architecture Diagram+
Architecture Diagram
08 Technical Stack+
Technical Stack
Node.js
Babel
OpenAI SDK
09 STATUS: ARCHIVED+
STATUS: ARCHIVED