m_flow: M-flow
M-flow is a memory system for AI agents that retrieves information by retrieving information through scoring evidence paths in a knowledge graph, operating like a cognitive memory system rather than relying solely on similarity search.
deepflow: a zero-code observability platform for cloud-native and AI applications using eBPF and Wasm
An open-source observability platform that provides zero-code, full-stack monitoring and distributed tracing for cloud-native and AI applications using eBPF.
qwen-code: an open-source AI coding agent with multi-protocol support and agentic workflows for the terminal and IDEs
An open-source AI coding agent that lives in your terminal, IDE, or desktop, supporting multiple LLM providers and agentic workflows to automate software development.
koharu: a local-first manga translation tool that automates text detection, OCR, and inpainting
An ML-powered manga translator written in Rust that automates text detection, OCR, inpainting, and translation using local or remote models.
Open-Source-Face-Recognition-SDK: a privacy-focused face recognition SDK for local biometric authentication and detection
An open-source face recognition SDK for Windows and Linux that provides local, privacy-focused face detection and similarity comparison using deep learning.
open-kritt: an AI agent orchestration platform for finding and validating security vulnerabilities in code
An open-source security research platform that orchestrates AI agents to find, validate, and prioritize real vulnerabilities in codebases.
agentic-awesome-skills: a local control plane for agent-owned skill selection and reproducible skill stacks for coding agents
A local control plane and catalog of 2,000+ specialized skill playbooks that allows AI coding agents to discover, select, and apply reproducible skill stacks to projects.
Operit: Operit AI – a self‑contained Android AI assistant with local LLM inference, Ubuntu 24, and a full tool/plug‑in ecosystem
Operit AI is an Android‑only AI assistant that runs entirely on the device. It supports local inference with MNN/llama‑cpp models, a full Ubuntu 24 environment, a 40‑plus‑tool ecosystem, smart memory, voice interaction, custom personas, and a plug‑in marketplace. Users supply their own cloud LLM keys or use offline models, keeping data private while enabling powerful automation, development, and creative workflows.
LTX-2: a DiT-based audio-video foundation model with synchronized sound and professional cinematic controls
LTX-2 is a DiT-based audio-video foundation model that provides synchronized audio and video generation, high-fidelity output, and professional cinematic controls.
obsidian-mind: a persistent memory vault for AI coding agents that compounds knowledge across sessions and repositories
An Obsidian vault system that provides AI coding agents with persistent memory, allowing them to recall goals, decisions, and project context across sessions.
transcribe.cpp: a high-performance C/C++ speech-to-text library supporting 60+ ASR model variants with cross-platform GPU acceleration
A C/C++ speech-to-text inference library that runs diverse ASR model families using the ggml runtime with GPU acceleration across Metal, Vulkan, CUDA, and ROCm.
LiveAgent: a local-first AI agent desktop that integrates LLM reasoning with local system tools and MCP support
A local-first AI agent desktop client that enables LLMs to operate the local file system, execute Bash commands, and integrate with MCP tools.
OGAM: a privacy-first offline AI suite for mobile and Mac providing text, image, and vision capabilities
A complete offline AI suite for Android, iOS, and macOS that provides text, image, and vision AI capabilities without any data leaving the device.
Open-Generative-AI: an unrestricted open-source alternative to AI video platforms with local and cloud inference
An open-source, unrestricted AI studio for generating images, videos, and lip-sync animations using over 400 models without content filters.
X-AnyLabeling: an industrial-grade AI-assisted annotation tool for multi-modal data labeling
An AI-powered annotation tool that integrates a wide range of pre-trained models to automate the labeling of images and videos for computer vision and vision-language tasks.
pgGraph: a PostgreSQL extension that adds high-speed graph traversal to existing relational tables
pgGraph is a PostgreSQL extension that enables high-speed graph search, traversal, and shortest-path queries directly on top of existing relational tables without requiring a separate database.
activity-frames: a local activity-tracking system that turns screen captures into deterministic workflows for AI agents
A local tool that compiles screen activity into structured frames and executable workflows, allowing AI agents to remember user activity and repeat repetitive tasks without expensive re-reasoning.
rizzo-pii: Local, reversible PII anonymisation for Italian legal documents – run on any laptop, keep data out of the cloud.
A CPU‑friendly Italian‑first NER model (≈0.3 B parameters) that tags 22 PII categories—including Italian‑legal identifiers—then replaces them with reversible placeholders. The anonymised text can be sent to any cloud LLM; the original values are restored locally, ensuring GDPR‑by‑design privacy without needing an API key.
Kun: a local-first AI Agent workbench with a shared GUI and TUI runtime for end-to-end project delivery
A local-first AI Agent workbench that integrates coding, writing, design, and research into a unified workspace with a shared GUI and TUI runtime.
lanhu-mcp: an MCP server that connects AI IDEs to Lanhu to share team knowledge and automate design-to-code analysis
An MCP server that integrates Lanhu design collaboration platform with AI IDEs, enabling shared team knowledge and automated extraction of requirements and UI specifications.
open-science: a local-first AI research workbench that automates the scientific research loop with full provenance
A local-first AI research workbench that automates the scientific research loop from literature survey to paper writing with full provenance and auditable artifacts.
linkedin-mcp-server: an MCP server that lets AI assistants read LinkedIn profiles and manage messages via local browser sessions
An MCP server that enables AI assistants to read and interact with LinkedIn data by leveraging a user's local authenticated browser session.
Generative-Media-Skills: Generative Media Skills: Agent-Native Multimodal Toolset for AI Media Generation
Generative Media Skills provides a toolset for AI agents to generate, edit, and display professional-grade media using muapi-cli, featuring agent-native design, expert knowledge layers, and MCP server support.
tokscale: a high-performance token usage and cost tracker for AI coding agents
A high-performance CLI tool and visualization dashboard for tracking token usage and costs across multiple AI coding agents.
mobilerun: an open-source framework for controlling Android and iOS devices with LLM agents
An open-source framework that enables LLM agents to control Android and iOS devices using natural language commands to automate mobile workflows.
MiMo-Code: MiMoCode: Terminal-Native AI Coding Assistant with Persistent Memory and Multi-Agent Workflows
MiMoCode is a terminal-native AI coding assistant that helps developers by reading/writing code, running commands, managing Git, and maintaining persistent project memory across sessions.
ag-ui: an open event-based protocol for standardizing agent-human interaction in user-facing applications
An open, event-based protocol that standardizes how AI agents connect to user-facing applications, enabling real-time interaction and state synchronization.
TencentDB-Agent-Memory: TencentDB Agent Memory
System for AI agents to retain/reuse experience (chat memory, skills, wiki, codegraph) to reduce repetitive work.
webclaw: a web extraction engine that turns websites into clean markdown and LLM-ready context
A web extraction tool that converts websites into clean Markdown, JSON, and LLM-optimized context for AI agents and RAG pipelines.
FunClip: an automated video clipping tool that extracts segments based on speech recognition, speaker ID, and LLM analysis
An open-source automated video clipping tool that uses ASR and LLMs to extract video segments based on spoken text, speaker identity, or AI-analyzed highlights.
SAG: a knowledge base system using a novel retrieval architecture that combines semantic search and relational reasoning without a global graph
A knowledge base application and retrieval architecture that replaces RAG and GraphRAG with event-entity indexing and dynamic hyperedges for superior semantic and relational retrieval.
planning-with-files: a persistent file-based planning system that prevents AI agent memory loss and goal drift
A persistent file-based planning system for AI coding agents that prevents memory loss and goal drift by storing task plans, findings, and progress on disk.
numbat: endpoint visibility and security monitoring for AI agents with local detection and forensic reconstruction
A security monitoring tool that provides endpoint visibility, local detection, and optional pre-action blocking for AI agent activity across desktops, CLIs, and IDEs.
PixelRAG: what it is, what problem it solves & why it's gaining traction
PixelRAG is a visual RAG system that renders documents as screenshots instead of parsing them to text, allowing AI to retrieve and reason over visual elements like tables and charts.
ClaraVerse: ClaraVerse: Private AI Workspace with Agent Teams and Layered Memory
ClaraVerse is a private AI workspace focused on AI agent teams, layered memory, and a permissive license, offering chat, multi-agent collaboration, terminal agent, workflow automation, and 150+ integrations.
turbovec: a high-compression Rust vector index that fits massive corpora in minimal RAM without requiring a training phase
A Rust-based vector index using Google's TurboQuant algorithm to provide high-compression, fast vector search with no separate training phase.
Hyper-Extract: a smart knowledge extraction CLI that transforms unstructured documents into structured knowledge abstracts and graphs
An LLM-powered knowledge extraction framework that transforms unstructured documents into structured knowledge abstracts, including knowledge graphs and hypergraphs.
Horizon: an AI-powered news radar that aggregates and enriches scattered stories into a curated daily briefing
An AI-powered news radar that aggregates, filters, and enriches stories from multiple sources like Hacker News and Reddit into a curated daily briefing.
Mooncake: a KV cache-centric disaggregated architecture for high-throughput LLM serving and training
A KV cache-centric disaggregated architecture for LLM serving that separates prefill and decode clusters to improve request throughput and resource utilization.
agent-vault: a credential broker and HTTP proxy that prevents AI agents from leaking secrets via prompt injection
An open-source credential proxy and vault that prevents AI agents from leaking secrets by brokering API access through a secure MITM proxy.
pipeshub-ai: PipesHub – Open‑Source Enterprise AI Context Layer
PipesHub is an open‑source, self‑hostable AI context layer that lets enterprises connect their data, enforce permissions, get cited answers, and build agents or search apps without moving data out of their VPC. It combines graph and vector retrieval, offers 50+ connectors, multimodal understanding, a no‑code agent builder, and exposes APIs/SDKs for extension. Deployment is Docker‑Compose based with an interactive installer.
oracle: a CLI and MCP server that bundles project files into AI prompts for grounded model reviews
A CLI and MCP server that bundles project files and prompts into context for AI models, supporting both API and provider-based browser automation.
dbhub: DBHub – Minimal MCP server for database access by AI clients
DBHub is a lightweight MCP server that enables AI‑assisted tools to safely query and explore multiple relational databases with minimal token overhead.
openai-agents-js: OpenAI Agents SDK – a provider‑agnostic framework for building multi‑agent LLM workflows in JS/TS.
The OpenAI Agents SDK (JavaScript/TypeScript) lets developers create text, sandbox, and realtime agents that can call LLMs, use tools, enforce guardrails, hand off work, and track runs. It runs in Node.js, Deno, Bun, and experimentally in Cloudflare Workers.
axonhub: AxonHub – AI gateway for zero‑code model switching
AxonHub is a self‑hostable AI gateway that lets developers switch between LLM providers and models without changing their application code, providing unified SDK compatibility, observability, access control, load balancing, and cost tracking.
semble: Fast, token‑efficient code search for AI coding agents
Semble is a CPU‑only Python library/CLI/MCP server that indexes a codebase in ~500 ms and answers natural‑language code queries in ~1 ms, delivering transformer‑level relevance while using ~99 % fewer tokens than a grep‑then‑read approach. It works with agents like Claude Code, Codex, and Cursor, supports local or remote repos, respects .gitignore/.sembleignore, and offers a simple installer, CLI, and Python API.
worktrunk: a git worktree manager that simplifies parallel development for AI agents
A CLI for git worktree management designed to facilitate running multiple AI agents in parallel by making worktrees as easy to use as branches.
agentmemory: Persistent, token‑efficient memory for any coding LLM agent
agentmemory is a self‑hosted, SQLite‑backed memory engine for AI coding assistants. It auto‑captures agent actions via hooks, stores them with hybrid BM25/vector/graph search, and serves the knowledge to any MCP‑ or REST‑compatible agent (Claude Code, Copilot CLI, Gemini CLI, etc.). Benchmarks show ~95 % recall @5 and >10× token savings, while a real‑time viewer lets you inspect memories. Install with `npm i -g @agentmemory/agentmemory`, start the server, and connect your agent with `agentmemory connect <agent>`.
agent-governance-toolkit: a deterministic policy enforcement and governance layer for autonomous AI agents
A governance framework for autonomous AI agents that provides deterministic policy enforcement, identity management, and audit logging to prevent unauthorized actions.
agent-framework: Microsoft Agent Framework – a cross‑platform framework for building and operating production‑grade AI agents and workflows.
Microsoft Agent Framework is an open, multi‑language (Python/.NET) toolkit for creating production‑ready AI agents and multi‑agent workflows, offering provider‑agnostic orchestration, middleware, observability, declarative YAML definitions, skill‑based knowledge, and hosting options such as Microsoft Foundry.