AgentBudget – Real-time dollar budgets for AI agents
Real-time dollar limits on AI agents, monkey-patched into OpenAI/Anthropic SDKs.
Your AI agents are burning money. AImeter shows you exactly how much.
Local-first cost tracking when LangSmith and Helicone already dominate.
Developers building AI agents who need cost visibility
LangSmith · Helicone · Portkey
Real-time dollar limits on AI agents, monkey-patched into OpenAI/Anthropic SDKs.
Human Follow-up rate metric proves if AI code actually ships or creates rework.
AgentForge compresses common production patterns—token-aware rate limiting (token-bucket), retry+exponential backoff, prompt templates and cost tracking—into a tiny async core and lets you flip providers with one parameter. The multi-agent mesh and ReAct loop bits are the most interesting engineering bets here, and the repo includes benchmarks and a Streamlit demo, but it lives in a crowded space next to LangChain and similar toolkits so real differentiation will come from adoption and edge-case robustness.
Machine-parseable traces for LLM agents when pdb and breakpoint() are useless.
The landing nails the pitch — enormous headline, neon dollar and a single clear CTA make the product instantly understandable. The form intelligently asks age (with a generation-based estimate), country and daily screen time so the friction is minimal; the tradeoff is that the site leans on industry averages without publishing the underlying rates. Useful for a quick viral stat or awareness piece, but it needs a transparent methodology and per-channel breakdowns to feel rigorous.
REPL with agentic LLM can inspect runtime and fix code—clever, but prototype-stage and insecure.