Developer Tools / AI Coding
A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.
The page clearly describes an AI-adjacent developer tool with a concrete purpose: persistent context for coding assistants. The README gives enough evidence to understand what it does, how it works, and how to get started, including installation and quick-start commands. It also shows specific workflows like adding tasks, decisions, and learnings, which makes it useful for a public listing.
The snapshot doesn’t show hands-on usage proof beyond README examples, so a visitor can’t tell how polished the CLI is in practice, what platforms are fully supported, or how it compares on reliability to similar context tools.
Last evaluated 27 days ago. Current rank #250. Down 4 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
