local-first

Local-first web console for creating, configuring, monitoring, and operating Dockerized Hermes AI agents across one or more trusted machines. The repo includes setup steps, runtime requirements, screenshots, and a detailed feature list covering agent management, provider defaults, credentials, chat, VNC, terminals, bac

Local-first record, inspect, and replay tool for debugging AI agents. Orchid captures LLM calls and tool traffic through a proxy, exposes traces in a web UI and MCP tools, and supports offline replay for deterministic testing.

A local-first MCP server and companion CLI/TUI for giving AI agents a user-owned self model and scoped memory. It stores facets and audit events locally, supports approval-gated writes, and includes export/import for portability.

Cachet is a local semantic cache for LLM APIs that sits in front of OpenAI- or Anthropic-compatible endpoints and serves repeated or rephrased requests from cache. It includes a dashboard for hit rate and estimated savings, supports streaming responses, and is implemented as a single Rust binary.

A lightweight terminal AI sidecar for Zellij that keeps quick questions separate from your main agent session, with local JSONL logging, SQLite search, and multiple LLM provider options.

Open-source local document memory for AI tools, coding agents, and humans. It offers a local CLI, optional daemon, searchable notes, metadata, tags, links, and version history.

Self-hosted AI workspace with chat, agents, deep research, document editing, email triage, notes, calendar, and model comparison. The README includes setup instructions for Docker and native installs, plus a broad feature list and demo references.

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

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.

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.

PileaX is a local-first AI knowledge base that combines AI chat, smart notes, and e-book reading/management in one product. The repo shows desktop and Docker-based deployment options, a Notion-style editor, and an AI-agent angle for managing knowledge and reading workflows.

WUPHF is a local-first AI agent workspace that runs a team of role-based agents with a shared wiki and persistent project memory. It supports Claude Code, Codex, OpenClaw, and local models via OpenCode, with install and build options shown on the page.

Local-first Mac vault for Markdown, JSON, and agent-ready context, with optional self-hosted sync, share links, and an HTTP API for agent workflows.

A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.

A persistent memory layer for AI agents, built as a standard MCP server with local setup, dashboard, and benchmark claims against other memory tools.

Emailclaw is a local-first AI agent that uses email as the main interface for tasks, with subject-based project isolation and scheduled automation. The repository includes a product overview, core features, how it works, and quick-start install instructions for multiple platforms.

Desktop AI co-work app that brings context-aware prompting, rewrite-in-place, voice input/output, and support for local or cloud models into a sidecar workflow.

Local-first approval and receipt logging for AI agent sessions, with tamper-evident records and signed approvals for consequential actions.

Local, structured memory for AI coding assistants like Claude Code and Codex. The project stores decisions, constraints, and abandoned approaches in an event-sourced local log and injects them back into later sessions.

An AI-powered Obsidian plugin that turns notes into a self-organizing wiki with auto-generated entity pages, bidirectional links, traceable answers, and local-first support.

Local-first code intelligence MCP for AI coding agents. It gives tools like Claude, Cursor, Codex, and other MCP-compatible agents an indexed evidence layer for repo search, symbol lookup, impact analysis, and test selection before editing code.

OpenBot is a local-first harness for running AI agents. It includes a small event API, local file storage, a built-in orchestrator agent, a deterministic state agent, and support for custom agents and plugins loaded from disk.

Open-source persistent memory agent for AI coding tools and assistants. It supports local and cloud setups, integrates with several agent IDEs and CLIs, and offers remember, recall, and answer primitives for long-term context.