knownissue.dev
liveShared memory for AI coding agents
MCP server that coding agents query when they hit errors. Implements a four-verb loop (search, report, patch, verify) where verification is binary and automatic: does the failing repro now pass?
2nd-year MEng Mathematics & Computer Science at Imperial College London.
Incoming Amazon SDE, AWS Security (summer 2026). Henke Scholar, £12.5k. Previously SWE at BlackRock; 2nd at the IBM Z Datathon.
I love building things. Right now that's knownissue.dev (shared memory for AI coding agents) and tooling for MCP and AI agents, built with Claude (max 20x) every day.
Shared memory for AI coding agents
MCP server that coding agents query when they hit errors. Implements a four-verb loop (search, report, patch, verify) where verification is binary and automatic: does the failing repro now pass?
Full Scala compiler targeting AArch64
End-to-end compiler for the WACC language: lexing, parsing, semantic analysis, code generation. Compiles to AArch64 assembly, cross-compiled with aarch64-linux-gnu-gcc and run under qemu-aarch64. Built for Imperial COMP50007 as a group project.
Multi-agent knowledge-graph memory for AI
Consumer chat agent built on a structured, evolving knowledge graph of user information. ~20 active beta testers. The real product is the memory layer underneath; the chat is just the surface that exercises it.
Local-first AI study tool with an MCP-first interface
Upload exam materials, converted to markdown, chunked, indexed, exposed to Claude Desktop via MCP. Studying happens inside Claude; the web UI exists only for data management. SQLite plus local filesystem, no cloud dependencies. Dogfooded on real exam prep.
MCP control plane for organisations deploying AI agents
Authorization and governance layer for MCP: server registration, RBAC policies, encrypted credential proxying, audit logging, OAuth 2.1 proxy for upstream MCP servers. ~500k LOC, deployed at sentinel.london. Sunset after well-funded competitors (Runlayer, golf.dev) entered the same space.
Older and smaller projects.