Developer Tools / AI Security
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.
The page clearly describes a concrete AI security tool for developers, not just a generic repository. It explains the problem it solves, shows installation and quickstart usage, lists policy controls and defenses, and provides benchmark results plus framework integrations. That is enough evidence for a useful directory listing.
The crawl does not show the full README or docs pages, so it is still hard to tell how mature the integrations are beyond LangChain, how the policy language is structured in practice, or what setup is needed for other frameworks and memory stores.
Last evaluated 103 days ago. Current rank #25. Down 3 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.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
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.
