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Market intelligence agent — distills signals from your team and the market into strategic clarity

Strain your LLM context. Cut costs 70-95% by routing to cheaper models.

Lightweight Python SDK for Agent Observability Tracing — instruments multi-agent AI workflows

Lightweight Python SDK for Agent Observability Tracing — instruments multi-agent AI workflows

12 native protocol layers for AI-agent systems. No wrappers. No SDK dependencies.

SDK for integrating LangChain Deep Agent into downstream projects

A Python-native Agent framework with first-class Skill support and multi-LLM adapter

Markdown viewer + reviewer for terminal/WSL with live reload, persistent annotations, and AI agent integration

Draw on your live website. Layout mode for AI agents. Rearrange, resize, wireframe, annotate.

AI Agent framework powered by node-llama-cpp

Pie AI Agent CLI

Build AI agents in 15 lines of code. Multi-channel, RAG-ready, production-grade.

The essential spec layer AI agents need to build software reliably

Zero Agent SDK - A provider-agnostic AI agent framework

EU-sovereign decision record layer for AI agents.

Framework-agnostic evaluation harness for RAG and agentic AI systems

Fitness tracker dashboard for AI coding agents (Claude Code, Codex). Visualize usage, cost, tokens, and productivity from local conversation logs.

TraceRazor LangGraph/LangChain callback — token efficiency auditing

TraceRazor hooks adapter for the OpenAI Agents SDK

TraceRazor callback adapter for CrewAI — automatic token efficiency auditing