Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
Open-source observability & evaluation platform for AI agents and coding agents. Trace LLMs, tools, prompts, costs & agent workflows with OpenTelemetry.
A Python framework for modular, self-contained skill management for machines.
Wavelet-based multi-resolution context management for LLMs via MCP
MCP server for token-efficient large document analysis via the use of REPL state
Implementation of Podlite markup language
A Model Context Protocol server for Excel file manipulation
Prismer Cloud
Generate a compact codebase index for AI assistants — saves 50K+ tokens per conversation
The LLM Council works together to answer your hardest questions
Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.
⚡️ A curated library of Agent Skills focused on Jetpack Compose performance.
a philosophy for talking to AI agents without getting glazed. one trigger, four meanings. /meow.
Model Context Protocol (MCP) Server for Graphlit Platform
Production agent skills for Claude Code, Cursor, and any SKILL.md harness — Codex fleets, video pipeline, monorepo review bundles, multi-chain explorer.
Supercharge AI Agents, Safely
Browser automation MCP server for Claude, powered by Puppeteer.
Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.
Agent Skills and lightweight tools for clearer, more natural Vietnamese writing, translation cleanup, grammar checks, and style consistency.
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.
BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.
Pair Claude Desktop on Anthropic with Claude Code routed through Ollama. Visual walkthrough + copy-paste prompt that cuts your Claude Code bill ~90%.
Audit and shrink your Claude Code startup context. Measures what every skill, plugin, agent, and memory file costs in the system prompt, then reversibly disables the dead weight. No proxy, no compression.