BacklogHQ

About BacklogHQ

BacklogHQ is a small suite of pure-TypeScript, zero-native-dependency components built to be used by AI agents as infrastructure rather than by humans through a UI. Two projects sit under it. AgentDB is an embedded database designed for LLM agents: schemas are persisted so an agent can discover them at runtime instead of being told about them in a prompt, and it ships HNSW vector search, blob storage and real-time subscriptions, all exposed as MCP tools. Backlog is persistent task management for Claude Code, where the point is that tasks outlive a single session — work started by one agent can be picked up later by another, and the whole thing is surfaced both as MCP tools and as Claude Code skills. The stated design principles explain the shape of both: agent-first, meaning the MCP servers and declarative schemas were written for how agents actually behave rather than retrofitted from human-facing libraries; zero native dependencies, so it runs anywhere Node.js does with no native binaries and no external database to stand up; and crash-safe by default, via an append-only write-ahead log, immutable snapshots and undo. For anyone building long-running agent workflows, the session-survival property is the differentiator — most agent memory disappears when the process does.

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