Top Picks

Hodor is a native macOS prompt launcher that lets you save prompts and paste them into ChatGPT, Claude, or other AI tools with shortcuts, edge browsing, or keywords. It is open source, notarized, and runs fully local with no data collection.

A Rust reimplementation of the 1982 ZX Spectrum BASIC runtime, compiled to native binaries and WebAssembly, with a live browser demo. The page frames it as an AI software-engineering experiment and describes the interpreter, editor, screen, keyboard, and runtime behavior it recreates.

Open-source MLOps/LLMOps platform for experiment tracking, model registry, and deployment with an emphasis on data and compute staying under user control.

A file-based protocol and CLI for coordinating multiple AI agents across runtimes, with typed messages, review loops, and shared memory on the local filesystem.

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

Harbor is a local AI stack and launcher for starting pre-configured agentic coding tools against different backends, with support for tools like Codex, OpenCode, Claude Code, and web-enabled workflows.

A file-backed workflow for resumable coding-agent projects, using Markdown records, a CLI, and bundled workflow skills to keep project state on disk instead of in chat.

A Torque demo page showing proof-gated, policy-checked production changes for a Kubernetes PostgreSQL workload, with signed evidence, authorization records, and replayable audit artifacts.

Local-first memory layer for coding agents with an MCP server, CLI, and desktop console for durable project context, handoffs, and recall across sessions.

A secure Model Context Protocol server that gives AI assistants controlled terminal access with risk analysis, sandboxing, logging, filesystem protection, and optional Docker and Git features.

A terminal multiplexer built for AI coding agents, with persistent sessions, agent-aware status, remote attach, and workspace/tab/pane management.

Steel’s Agent Traces turns recorded browser sessions into a readable, frame-synced timeline with inline details, markdown export, and API access for AI agent workflows.

Open-source estimation tool for AI coding-agent tasks. It gives PERT-based time forecasts, human-speed comparisons, model reliability checks, and wave planning for parallel work.

AISBF is a self-hostable AI service broker and OpenAI-compatible proxy/router for routing requests across multiple providers, adding prompt-aware model selection, failover, quotas, analytics, and privacy-focused deployment options.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

Open-source local compute fabric for AI agents. It runs a single-node K3s stack through Docker Compose, provisions isolated Ubuntu sandboxes, and exposes native MCP support for local agent workflows.

Logbox is a developer tool that captures dev server logs and exposes them through an MCP server so coding agents can search and inspect logs directly.

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.

A macOS developer tool that scans AI coding assistant history and local project files for leaked API keys, tokens, passwords, and private keys, with local-only scanning, vault storage, and MCP integration.

Neurvance provides CC0-licensed AI training data bundles with document-level provenance, EU AI Act Article 10/Annex IV mapping, and an API for bulk download and RAG retrieval.

Paid public API for finance built on the Neurobro agent. The docs show API key authentication, a single ask endpoint, tier-based modes, billing, rate limits, errors, examples, and a quickstart.

A CLI guard for MCP stdio servers that checks for stdout pollution, handshake failures, invalid JSON-RPC frames, and startup/runtime issues before clients hit them.

An experimental RAG lab for constrained environments, with configurable document classification, chunking, retrieval, reranking, and chat context assembly. It includes Open WebUI integration and emphasizes debugging retrieval and context failures.

A Commodore 64 chat client for Claude that streams Anthropic responses over a serial-style connection, with a Python proxy and C64-side UI.