Open-source desktop app for local voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation across 646 languages.
Local-first search engine and MCP server in one Rust binary, indexing code, docs, logs and PDFs for BM25, vector and hybrid search.
Python CLI and agent plugin that audits whether an AI agent does the job it is supposed to do, using adversarial and operational tests.
A Claude Code and Cursor skill that steers AI coding agents toward the smallest code that meets the task, avoiding unnecessary code.
MCP server that keeps raw tool output out of AI coding agent context windows and persists session state across compaction.
Self-hosted OpenAI-compatible proxy that routes requests across free-tier LLM providers with failover and encrypted key storage.
Builds a queryable knowledge graph from a codebase and its docs, PDFs, and configs, driven by a /graphify skill for AI coding assistants.
A local proxy that lets Claude Code, Codex, OpenCode and other coding agents run on free or alternative model providers.
An agent meta-harness that adds multi-agent swarms, shared memory, and coordination around Claude Code and Codex via npx and MCP.
Shared long-term memory and handoff layer for AI coding agent CLIs, letting sessions move between agents like Claude Code and Codex.
Claude Code and other coding agent skill plus proxy that makes the agent answer in terse caveman-style prose to cut token use.
Team-level memory hub that turns agent conversations, docs, and code into shared, reusable memory assets across AI agents.
Open-source memory layer that captures coding-agent session history across harnesses and turns it into reusable knowledge for future agents.
Runs open-weight LLMs such as Gemma, Qwen, DeepSeek, and gpt-oss locally or in the cloud, with a CLI, REST API, and Python and JavaScript libraries.
Compresses tool outputs, logs, files, RAG chunks and conversation history before they reach an LLM, as a library, proxy, or MCP server.
Desktop app for switching API providers and managing MCP servers, skills, and prompts across Claude Code, Codex, Gemini CLI, and other AI coding agents.
A high-throughput LLM inference and serving engine featuring PagedAttention, continuous batching, and an OpenAI-compatible API server.
CLI and setup toolkit that gives AI agents read and search access to Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu.
A TypeScript proxy plugin that sits between coding agents and model APIs, compressing conversation history into reversible layered summaries.
Open-source web app and dataset for sharing, discovering, and self-hosting a community library of AI chat prompts.
Local CLI, MCP server, and catalog for searching, selecting, validating, and previewing installs of 2,700+ reusable SKILL.md agent playbooks.
Connects models from the logged-in WorkBuddy desktop app into DeepSeek Harness as a plugin, with no extra configuration.
Agent memory system that lets AI agents learn from experience over time, not just recall conversation history.
Captures agent tool usage during sessions, compresses it into summaries, and injects relevant context back into future sessions.
Open-source local AI engine that runs LLMs, vision, voice, image, and video models behind OpenAI-compatible APIs on CPU or GPU.
Local MCP server that builds a persistent knowledge graph of code, docs, and infrastructure for AI coding agents and developers.
Self-hosted AI gateway that exposes one API to clients while routing requests to multiple upstream model providers.
Claude Code plugin that runs parallel SEO audits covering technical SEO, E-E-A-T, schema, GEO, and agent readiness.
Go proxy that converts Google AI Studio web access into OpenAI, Anthropic, and Gemini compatible APIs with multi-account support.
Local-first browser and analytics tool for searching, costing, and tracking sessions from AI coding agents like Claude Code and Codex.
CLI and template catalog for configuring Claude Code with agents, commands, settings, hooks, MCP integrations, and monitoring tools.
Open source proxy that routes and secures agent-to-LLM, agent-to-tool, and agent-to-agent traffic using MCP and A2A protocols.
Serves language models from a Zig binary on Apple Silicon and NVIDIA GPUs using Metal and CUDA kernels.
Official C++ inference framework for 1-bit (1.58-bit) LLMs, providing optimized CPU and GPU kernels.
A GitHub Action that runs Claude Code on PRs and issues to answer questions, review changes, and implement code edits.
Packages LLMs and a whisper-based speech-to-text tool into single executable files that run locally without installation.
Demo scripts for running PrismML's Bonsai 2 small LLMs (2B to 27B) locally on Mac, Linux, Windows, or CPU.