LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Beads - A memory upgrade for your coding agent

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud

MCP Toolbox for Databases is an open source MCP server for databases.

Secure environments for developers and their agents

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

✨ Build AI agents and web apps — with a single binary.

📜 Entire CLI hooks into your Git workflow to capture AI agent sessions as you work. Sessions are indexed alongside commits, creating a searchable record of how code was written in your repo.

⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.

Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord

AI Agent Builder and Runtime by Docker Engineering

A HTTP credential proxy and vault for AI agents like Claude Code, OpenClaw, Hermes, custom agents + harnesses, and more.

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

✨多agent实现全自动AI小说生成

Run production apps without thinking about infrastructure. On your server or ours. Fully agentic.

An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.

YC S26 | WUPHF by Nex.ai lets you spin up your personal office of AI teammates who collaborate over shared context. Supports Claude Code, Codex, OpenClaw, OpenCode, local LLMs.

Manage worktrees without managing worktrees.

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents.

KWeaver Core is a harness-first foundation for enterprise decision agents. It turns fragmented data, knowledge, tools, and policies into governed context, safe execution, and verifiable feedback loops. With semantic modeling, real-time access, runtime control, and TraceAI, it helps AI systems reason, adapt, and act reliable in complex enterprises.