A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
- ai
- golang
- llm
- structured-output
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A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
Instruct LLMs to do what you want in Ruby
PHP client for the Anthropic API: messages, streaming, tool use, thinking, web search, code execution, batches, and more.
One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.
Local-first policy gateway for coding agents. Allow, review, or block MCP, shell, SQL, GitHub, and HTTP actions with scoped credentials and signed evidence.
Improve Open Assistant with ChatGPT.
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
Deterministic quality scorer for AI agent instruction files — 8-dimension scoring with security, multi-format (SKILL.md, CLAUDE.md, .cursorrules, AGENTS.md), anti-gaming detection, zero dependencies
AI-Driven Full-Text Screening and Data Extraction for Systematic Reviews and Evidence Synthesis
Claude Code dashboard: see where your limits are headed before you hit them. Calibrated usage forecasts, live rate-limit gauges, session costs, memory browser. Single binary, zero config, plus a VS Code extension.
Native macOS app for tracking Claude Code usage — tokens, cost, rate-limit pacing, per-project breakdowns. SwiftUI + SwiftData.
Effortless Natural Language Generation: Ollama, Anthropic (Calude), ChatGTP
A tool to search documentation of lisp symbols in the current lisp image.
Publish Claude Code usage telemetry to MQTT for Home Assistant (Clawdmeter-compatible mood/burn-rate sensors)