ollama

Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.

Hillnote is a local-first writing workspace for notes, documents, databases, and plans, with AI features that run on-device and optional cloud models. It supports markdown files on disk, sync across devices, and direct use by agents through MCP and CLI access.

A drop-in proxy for Ollama that automatically tunes local LLM requests to reduce RAM use and speed up first-token latency. The page shows install steps, benchmark results, a live dashboard, and a local-only admin UI.

Local-first AI memory layer for LLM apps with persistent knowledge graph storage, entity extraction, semantic retrieval, and API endpoints for ingesting and retrieving context.

SmolSignal is an AI signal copilot for Flipper Zero files. It explains common capture formats, classifies safety risk, supports local and cloud model backends, and can generate safe consumer IR files.

AI-powered code review tool that analyzes git diffs and produces structured review reports, with support for GitHub Action workflows and multiple model providers.

An open-source CLI for inspecting live LLM inference processes on NVIDIA GPUs. It breaks down VRAM usage by component, shows runtime and model details, and projects memory savings from quantization strategies.

A framework-free Unix-style AI agent stack built from small shell commands. It uses bash, curl, and jq to run a REPL-like agent loop with append-only JSONL history, tool dispatch, and piping-friendly components.

A local-first AI memory engine for asking questions over selected files on your computer using Ollama, embeddings, and a custom vector database.

Open-sourced local multi-agent OS that runs three agents on consumer hardware, lets them form goals from environmental pressure, and supports self-modifying workflows through tool creation and change requests.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.