Tag

ODS (Osmantic Deployment System)

Turns a PC, Mac, or Linux machine into a private AI server with one-command installers: local LLM inference, a ChatGPT-style web UI, voice, agents, RAG, workflows, image generation, hardware-aware model selection, and optional cloud/hybrid modes.

JobOps

Find and rank jobs across major boards, auto-tailor a resume per role using an LLM-driven pipeline (RxResume v4), and track application emails — all as a self-hosted Docker pipeline for privacy-conscious users.

llmfit

Detects your machine's CPU/RAM/GPU and ranks which LLMs will run well: estimates memory fit, speed, quality, and context, offers an interactive TUI and CLI, and lets you run and share reproducible local benchmarks.

OpenHuman

Desktop-first personal agent that compresses your connected accounts into a local memory tree and runs agentic workflows. Key features include 118+ one‑click integrations, TokenJuice token compression into an Obsidian‑style vault, model routing with optional local models (Ollama).

QwenPaw

Provides a deployable personal AI assistant that runs locally or in the cloud, supports multi-channel chat, extensible Skills/Plugins, and local-model runtimes. Key features include three-layer memory, kernel-level sandboxing and tool/file guards, and bundled QwenPaw-Flash local models for zero-API deployments.

whichllm

Detects your GPU/CPU/RAM and ranks HuggingFace models that will actually run and perform best on your machine, using live, recency-aware benchmarks and a one-line CLI for simulation, planning, and instant local runs.

BugHunter

Terminal-first toolkit that automates bug bounty workflows — recon, hunting across 20 vulnerability classes, validation, and submission-ready report generation; runs as a Claude Code plugin or standalone CLI with support for free local AI providers (Ollama, Groq, DeepSeek).

Memanto

Provides a persistent, typed semantic memory layer for AI agents—supports remember, recall, and answer primitives so agents retain long-term context. Writes are instantly searchable and retrieval uses an information-theoretic engine, avoiding separate vector DBs or indexing delays.

G0DM0D3

A single-file, privacy-aware multi-provider chat UI that races multiple LLMs, supports local model servers, red-teaming input perturbations, and configurable telemetry for model evaluation and experimentation.

OpenHarness

Provides a lightweight Python harness that turns LLMs into working agents with tool-use, skills, persistent memory, permission controls and multi-agent coordination. Ships with a CLI/React TUI, 43+ built-in tools, a plugin/skill system and the ohmo personal-agent for chat gateways. Best for developers prototyping agent workflows and multi-agent experiments.

Laguna XS.2

A 33B Mixture-of-Experts text-to-text model optimized for local, long-context agentic coding—3B activated params per token, 131k token window, mixed sliding-window and global attention, FP8 KV cache, Apache-2.0 license.

MiniCPM5-1B

A 1.08B-parameter causal LLM engineered for on-device text generation with native long-context (131k tokens) and built-in Think/No-Think modes. It emphasizes tool-calling support, lightweight deployment formats (BF16, GGUF, MLX), and RL+OPD post-training for stronger reasoning and code generation.