#llm

Decode, search, validate, and crosswalk US medical codes — ICD-10-CM, ICD-10-PCS, HCPCS Level II, RxNorm — over a bundled offline index via MCP. STDIO or Streamable HTTP.

该仓库未发布描述。

Unattended Go daemon that runs an LLM coding agent against a queue of tasks — it syncs, executes, verifies, and reports back on a loop.

Serve any Streamlit app as an MCP server — agents drive it natively, no browser automation.

High-performance, multi-provider LLM SDK for Go. Unified access to OpenAI, Anthropic, Gemini, Ollama, OpenRouter with adaptive rate limiting and concurrency control.

Unofficial Python CLI for the Venice.ai API — image, video, audio, TTS, chat, and embeddings from the terminal.

Manage your ongoing harness sessions and worktrees from a single place

Governed execution trees for AI agents: budget it, gate it, replay it.

Create multi-agent workflows with AI and Language Models using OTP components in Elixir for reliable and scalable automation.

One persistent MCP terminal your AI drives — and launches other coding agents (Codex/Grok/Composer) into. SSH, containers, and REPLs nest as text you send in. tmux-backed, token-reduced reads, headless over MCP.

Local-first LLM token counter: exact OpenAI BPE, Claude/Gemini estimates, context-window usage. Zero network. CLI + Go library.

Provider-agnostic TypeScript agent SDK — pluggable providers, built-in tools, skills, memory, and MCP

Local-first cost & token tracking for Claude Code, Cursor, Codex & 23 more AI coding agents — proxy-accurate per-model spend, an MCP server your agent can query, and an opt-in team rollup. 100% local, no telemetry.

AI venture studio: mines your support tickets and issues for opportunities, sizes markets honestly, writes PRDs with kill criteria, builds and reviews the product from one plain-language doc (English/中文), measures real cohorts, and forces honest kill decisions. Humans hold every gate; it never publishes or spends.

Run any local LLM engine, auto-tuned to your GPU — polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.

AI agent debugging, collaboration, and trace observability. Built for teams using CrewAI, OpenAI, and more.

该仓库未发布描述。

Reusable Go runtime packages for building and configuring ACP-backed agents

Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · Hermes · VS Code · Windsurf.

In today's rapidly evolving landscape, vale-ai-tells is a comprehensive, cutting-edge Vale style package that empowers writers to seamlessly delve into the rich tapestry of AI tells. It's not just a rule set; it's a game-changer that supercharges your prose, unlocks new possibilities, and really lands. Ship cleaner prose. Full stop. 🚀

A Go SDK for the Claude Code CLI: one-shot runs, interactive sessions, in-process Go tools, permission & hook callbacks, inline subagents. Behaviorally verified against the real binary.

Build, test, and deploy intelligent AI agents the Laravel way

A superfast proxy and smart load-balancer for AI Inference — virtualize models, share local and provider back-ends, optimal caching, lock-in sampling parameters, debug message flow and obtain OTel metrics

Your tasks with 99% accuracy using any LLM (Claude, DeepSeek, Codex, Gemini, Hermes, OpenClaw, Cursor).

Hand a coding-agent session to another agent. Reads local Claude Code, Codex, Antigravity, OpenCode & Pi Agent history; forks natively or seeds a clean transcript.

Local-first control plane for AI-agent teams — orchestrates Claude Code, Codex, Grok, agy & Hermes into gated workflows that fix their own failures, with per-run metering, an append-only audit log, and team memory. Apache-2.0.

Extension for the pi coding agent that intelligently routes each turn to the right LLM tier (high/medium/low) based on task intent, session budget, context size, and custom rules.

A Ruby Implementation of the Model Context Protocol

该仓库未发布描述。

Open-source DevSecOps gateway for AI traffic. Intercept, audit, and route LLM requests to prevent data leaks and enforce zero-trust security policies.