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Items in this Directory
baselith-core
A Modular Framework for Baselith-Core Orchestration featuring World Models (MCTS), Swarm, and Native MCP.
unbrowse-langchain
LangChain tools for the Unbrowse CLI — reverse-engineer any website into reusable API skills.
signalslabs-mcp
MCP server for SignalsLabs — AI-powered geopolitical intelligence
attune-ai
AI-powered developer workflows for Claude with cost optimization, multi-agent orchestration, and workflow automation.
local-inferbench
local-inferbench contributors
A unified benchmarking framework for local LLM inference backends
fin-badboy-sdk
fin
Python SDK for fin (badboy) - track LLM usage events; import as fin_sdk
agent-telegram-mcp
Tharindu Mendis
Telegram MCP Server — lets AI agents send/receive Telegram messages via a Bot Token
codemux
Structurally-aware code context engine for LLM coding agents. Under development.
kenso
Francisco Vena
Minimal MCP server for searchable Markdown knowledge bases (SQLite FTS5)
nadirclaw
Open-source LLM router — simple prompts to free models, complex to premium
crowd-control
Daniel
Learnings retention system for Claude Code
datawrapper-mcp
A Model Context Protocol (MCP) server for creating Datawrapper charts using AI assistants
moxing
llama.cpp community
Python wrapper for llama.cpp - OpenAI API compatible LLM backend with auto GPU detection
anima-agent
The identity layer for AI agents — export, persist, and migrate agent personas across any LLM provider.
langchain-polaris
LangChain integration for The Polaris Report — verified news intelligence tools and retriever
stackoverflow-fastmcp
StackOverflow MCP server for querying programming Q&A using FastMCP framework
canopy-mcp
Josiah Bruner
An MCP proxy server and agentic hook tool that allows you to write and enforce policies on agent tool flows
identa-agent
The identity layer for AI agents — export, persist, and migrate agent personas across any LLM provider.
cmux-ctl
Ali
TUI dashboard for orchestrating cmux workspaces and Claude Code agents
litellm-wzrd-momentum
Demand-aware model routing for LiteLLM — route to models with accelerating adoption.