Developer Tools / AI Memory / Agent Infrastructure
A provenance-aware memory layer for AI agents that stores user facts, interaction history, and third-party claims with source tracking and quarantine rules.
The page clearly describes an AI-focused developer tool with a concrete use case: durable agent memory that keeps provenance on every fact. It includes installation, Python usage examples, MCP support, storage details, and links to docs and demos, giving enough evidence for a useful directory listing.
The snapshot shows strong positioning and implementation details, but it does not expose full API breadth, supported production deployments, or how the project behaves beyond the included examples and docs references.
Last evaluated 50 days ago. Current rank #131. Holding steady 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.
