Developer Tools / AI Observability
Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.
The page clearly presents a real AI product with a specific use case: analytics for AI agents in production. It shows how the product works, supported runtimes and frameworks, installation paths for TypeScript and Python, and concrete outputs such as intent grouping, run traces, and issue creation to Linear or GitHub. The snapshot gives enough detail for a useful public listing.
The page does not show pricing details, enterprise/security information, or whether the product is generally available beyond the sign-up and live demo prompts. It also does not provide third-party proof such as customer logos, benchmarks, or a deeper docs preview beyond the install snippet.
Last evaluated just now. Current rank #44. 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.
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.
