Developer Tools / AI Memory / Knowledge Management
KHMS is a file-based long-term memory system for LLM agents, built around immutable markdown cards in a git repository with YAML frontmatter, hook-based recall, and a propose → review → approve flow.
The page clearly describes an AI-adjacent developer tool with a specific job: persistent memory for agents. The README explains the storage model, retrieval flow, review pipeline, installation path via AGENTS.md and claude-code, and gives enough context for builders to understand how it works and where it fits. It also shows concrete design choices and prior-art comparisons, which makes it strong enough for a public listing.
The snapshot does not show a live demo, installation command set, or quick-start steps in the visible text. It is also hard to tell from the page alone how much of the repository is production-ready versus a generalized extraction from one deployment.
Last evaluated 2 days ago. Current rank #736. Down 6 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.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
