Masthead makes agent session history usable.
Masthead turns the context coding agents already create into local session memory: searchable for people, visible while work is happening, and retrievable by future agents through read-only MCP tools.
Agents create valuable context. Most teams throw it away.
Every agent session contains decisions, tool calls, failed paths, implementation details, and project history. That history usually stays trapped in one harness, one transcript, or one developer's memory.
Masthead treats session history like a product data layer. It imports local sources, normalizes them into a canonical session graph, and makes the strongest context available where work happens next.
Local session database, human surfaces, agent access.
The boundary is the product. Masthead keeps the source history local, gives people a quiet operator surface, and exposes selected context through read-only retrieval instead of handing agents a private log dump.
Import jobs
Supported harness history becomes consistent session records with provenance.
SQLite session graph
Local storage keeps session, source, policy, and retrieval data in one durable model.
Logbook and Board
People can search prior work and see live sessions without reading raw transcripts.
Read-only MCP
Agents can retrieve relevant context through bounded tools instead of broad filesystem access.
Desktop runtime
Tauri, TypeScript, React, a local daemon, and app-menu delivery make it feel like a developer tool.
Verification gates
Product-contract checks guard against drifting into generic monitoring or vague analytics.
Masthead is a developer tool and a systems case study.
For employers and clients, the signal is not only that Masthead exists. The signal is the judgment underneath it: recognize the hidden data layer inside AI work, design privacy boundaries first, and build a tool that improves future agent sessions without centralizing private work history.
Context memory and retrieval as product surface.
Sensitive session history starts on the machine.
Desktop app, daemon, SQLite, search, MCP, and website.
Board, Logbook, MCP instead of a vague dashboard.
Need AI work to remember what already happened?
Masthead is the public proof of how I think about agentic systems: context first, clear boundaries, and useful surfaces over demo theater.
Email Tyler