Developer Tools / AI Security
Jo is a secure programming language designed to help catch prompt injection and other unsafe behavior at compile time by enforcing explicit capability boundaries. The repository shows the language’s security model, code examples, installation flow, and current project status.
The page clearly presents an AI-adjacent developer tool: a secure programming language aimed at confining AI-generated code and preventing prompt injection-style risks. The README includes the problem statement, language highlights, example code, installation instructions, project status, and links to docs, giving enough evidence for a useful public listing.
The snapshot does not show hands-on benchmarks, real-world deployments, or a full picture of compiler maturity beyond “early-stage.” It is also unclear which integrations, runtime targets, or supported workflows are stable today.
Last evaluated 87 days ago. Current rank #1285. Down 2 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.
