on-device-ai
6 servers · 314★ total
On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.
The Private Agent OS — search files, run AI agents, connect to 10,000+ tools via the complete protocol stack (MCP, AG-UI, A2UI, A2A). Zero cloud. Zero telemetry. On-device inference.
Swift 6 agent SDK: type-safe tools, streaming, cloud + on-device inference via MLX on Apple Silicon
SDK for Android — gives local LLMs structured access to phone data (calendar, contacts, SMS, files). Everything stays on device.
Agentic Android Open Source Project (AAOSP) — Android fork with native LLM system service, MCP-aware apps, and an agent-driven launcher. On-device Qwen 2.5 via llama.cpp. Apps declare tools in their manifest. The OS runs the model.
🎙️🧠 Local-first macOS meeting + document notebook — on-device Whisper transcription, source-linked notes, @brain and history Q&A, a read-only local MCP server, E2EE sharing, and plain Markdown exports. Run AI locally or explicitly opt into redacted cloud AI · AGPL-3.0