I've been building this for two weeks and want honest technical feedback before I invest more time.
Bhive is a multi-agent framework in TypeScript. Agents ("Bees") can delegate tasks to each other, call tools, and it works with any LLM provider — Gemini, OpenAI, Anthropic, or local Ollama — through the same code.
LLMAdapter interface, with a ToolCallingParser that normalizes tool-call formats across providers. Good pattern, or overengineered for what it does?ToolCallValidator: injection guards, allowlists, size limits) — anything missing?createDelegationTool) makes sense as an abstraction
Repo: [https://github.com/dcooperdev/bhive-core](https://github.com/dcooperdev/bhive-core)
Tests: 299 passing, ~98% coverage. But test coverage isn't the same as "this is well-designed" — that's what I actually want checked.
source & further reading
dev.to — original article
ai-memory: Persistent Cross-Agent Long-Term Memory for Coding CLIs
The jokes about vibe coding aged poorly
The swarm that kept coming back