llm-lobbyist vs Agent-Reach

Common questions

What is the difference between llm-lobbyist and Agent-Reach?

llm-lobbyist: Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.

When should I choose llm-lobbyist over Agent-Reach?

Choose llm-lobbyist over Agent-Reach when llm-lobbyist is primarily Jupyter Notebook; Agent-Reach is Python; Tags unique to llm-lobbyist: jupyter notebook; Also covers Vector Databases, Evaluation & Observability.

When should I choose Agent-Reach over llm-lobbyist?

Choose Agent-Reach over llm-lobbyist when Agent-Reach is primarily Python; llm-lobbyist is Jupyter Notebook; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.

When should I avoid llm-lobbyist?

Last GitHub push was 1276 days ago (dormant maintenance, Jan 13, 2023). Validate activity before betting a new project on llm-lobbyist. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

When should I avoid Agent-Reach?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Is llm-lobbyist or Agent-Reach more popular on GitHub?

Agent-Reach has more GitHub stars (54,715 vs 174). Stars measure visibility, not whether either tool fits your constraints.

Are llm-lobbyist and Agent-Reach open source?

Yes - both are open-source projects on GitHub.

Where can I find alternatives to llm-lobbyist or Agent-Reach?

GraphCanon lists graph-backed alternatives at llm-lobbyist alternatives and Agent-Reach alternatives (llm-lobbyist markdown twin, Agent-Reach markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, llm-lobbyist or Agent-Reach?

llm-lobbyist: Dormant. Agent-Reach: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for llm-lobbyist and Agent-Reach?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-lobbyist trust report; Agent-Reach trust report.