Projects

AI coding assistants lose context between sessions, skip steps, and produce inconsistent code. DevPlan fixes this with structured planning, automatic validation, and a lessons-learned system that prevents the same mistakes from happening twice.

21 tools across planning, generation, validation, and issue remediation. It interviews you about your project, generates a validated plan, then hands off to AI for mechanical execution — while a separate verifier agent actively tries to break the result.

Works with Claude Code, Cursor, Aider, Cline, and Windsurf. Open source, MIT licensed, runs on Cloudflare Workers.

Hook-based out-of-process context engineering middleware for Claude Code. The model doesn't know it's been augmented — the hook runs first, curates what context reaches the prompt, and reasoning stays cleanly separated from curation. That one design choice unlocks three things at once: universal applicability across every model, skill, and subagent in a Claude Code session; clean replaceability on either side of the boundary; and auditability at the trust boundary — the right shape for CUI-handling, CMMC, and FedRAMP work.

Built in Rust. Persistent memory, checkpoints, and lessons via amp-rs. Semantic code search. A knowledge graph that strengthens connections over time. The Stanford IRIS / MIT Meta-Harness paper named the category last month; Nellie is my implementation of it. v0.5.3 installs in two lines.

The Rust reference implementation of Agent Memory Protocol — structured, persistent memory through three primitives: checkpoints, lessons, and memory. Local-first, fast, and built to be embedded anywhere. Powers Nellie's memory layer.