ThinkRail

PI-Desktop is a local-first desktop workspace for AI coding agents, built with Electron, a Rust host core, and the pi Agent Harness. It lets users open local projects, connect cloud or local models through providers such as OpenAI-compatible APIs, manage projects and long-running sessions, and review file changes and command output. Its architecture separates the React renderer, Electron desktop orchestration, Rust-managed permissions, filesystem access, SQLite persistence and secrets, and a pi Agent sidecar responsible for the agent loop, model interaction, and streaming. Agent, Plan, and Goal modes provide different approval boundaries; agents can read and edit files, run commands, and delegate exploration, implementation, research, testing, or review to background Subagents. The workspace supports MCP servers, Skills, installable Plugins, model and provider switching, session imports, notifications, context checkpoints, and a plugin marketplace. Conversations are stored locally as JSONL with a SQLite index, settings and logs remain on the machine, credentials use the operating-system keychain, and model requests go directly to the configured provider or endpoint. Plugin processes are permission-gated and isolated from the renderer, but plugins remain user-trusted code rather than a complete operating-system sandbox. It is an early-preview cross-platform application distributed for macOS, Windows, and Linux under the GNU Lesser General Public License v3.0.

Keel is a local-first native macOS coding workspace that runs coding agents through a Rust/GPUI application. It combines sessions, a composer, transcripts, a terminal, change inspection, settings, Git history, crash recovery, and an agent graph showing active agents, subagents, and files as shared context; agents can be steered or stopped from the graph. It connects Claude Code, Codex, Cursor, Grok, Hermes, and pi through the Agent Client Protocol, and also includes an embedded DeepSeek agent loop with host-enforced tool focus. For unpinned tasks, a local Laya selector running through Core ML or an optional hosted Jev selector chooses among host-prepared routes or abstains. Keel validates each choice before applying it, falls back to the ordinary route when a choice is rejected, stale, or expired, and records candidates, validation, fallback, and observed outcome in bounded decision receipts. Decision receipts can be exported as JSONL and summarized with CLI reports. Keel also provides headless and daemon modes, while each coding provider retains its own authentication, model configuration, and tool loop. The repository supports Apple Silicon and macOS 15 or later for the packaged Laya model. It can be built from source, but the repository does not currently publish downloadable app releases; packaged builds are ad hoc signed development builds. Automatic training, public installer distribution, cloud sync, and native Codex realtime voice are not implemented or included in this build.

Pi is an open-source AI agent harness and toolkit from earendil-works for building and running coding agents. Its packages provide a unified multi-provider LLM API, an agent runtime with tool calling and state management, an interactive coding-agent CLI, a terminal UI library with differential rendering, and vendor-neutral telemetry contracts and adapters. Slack and chat automation are provided through a separate package project. Pi does not provide built-in restrictions for filesystem, process, network, or credential access; it runs with the permissions of its launching user and process. The project documents containerization and sandboxing approaches, including a local Linux micro-VM, Docker, and policy-controlled sandboxing, for stronger isolation.

Pi Pocket is a self-hosted, mobile-first web application for running and supervising Pi coding agents on a user's own machine or phone. It stores model calls, tool calls, subagent activity, sessions, notes, schedules, and other state in a durable database so work can continue after server restarts; the web client receives committed session updates through server-sent events. The app supports live multiplayer sessions with presence, side chat, shared notes, mentions, reactions, pins, invitations, roles, and turn-taking. Users can steer or queue tasks, inspect tool output and diffs, fork or retry sessions, use git branches and worktrees, approve plan-mode changes, schedule messages, run goals until a check passes, and open a Chromium-based browser panel. It also provides artifacts, subagents, push notifications, extensions, codemode, and an optional Lancet Guard that requires approval for selected risky calls. Pi Pocket runs on Linux, macOS, Windows, or Android through Termux, requires Node.js 22.19 or newer, and can expose the app locally, over a LAN, through a Cloudflare quick tunnel, or through Tailscale. It is distributed under the MIT license. The project warns that anyone with steering access can make Pi run commands with the permissions of the host machine, and that Pi Durable is experimental.

Ratel is an in-process context-engineering platform for AI agents. It catalogs tools, skills, and persistent facts, then searches the catalog on each turn and progressively discloses only the capabilities relevant to the request instead of placing every tool schema and instruction in the context window. Its retrieval supports BM25, semantic, and hybrid ranking without requiring a vector database. The project includes a Rust core, TypeScript and Python SDKs, an MCP server, and a CLI. Tools can be registered directly or ingested from an MCP server; skills can associate instructions with tools, while registered facts are re-injected when they are no longer fresh in the conversation. The repository describes the system as reducing token usage and mitigating tool overload.