Headroom

Headroom is a local-first macOS menu-bar app for monitoring AI coding quotas and software delivery status, with optional iPhone, iPad, Apple Watch, and ESP32 desk-display clients. A Python host running on the Mac reads the authentication data and command-line tools already configured for services such as Claude, Codex, Cursor, GitHub, and Vercel, then serves a single local JSON feed; credentials remain on the machine and no Headroom cloud account is required. Its interfaces show provider quota meters, usage rings, burn rate and spend, failed Actions, deployments, monitors, and other attention items, and the iPhone client can approve, deny, or reply to Claude and Codex requests without starting work. The Mac host uses port 8737, requires macOS 14+ and Python 3.9+, and the optional desk display uses a Waveshare ESP32-S3-Touch-AMOLED-1.8 board.

Hy Memory is a cognitive memory engine and Python SDK from Tencent Hunyuan for LLM agents. It routes data into three task-specific memory scenes: hierarchical long-term memory for chat, two-layer session-fact and reusable-experience memory for productivity work, and the same two layers plus a version-evolution diff chain for coding tasks. The chat pipeline organizes conversations into layers including raw dialogue, atomic facts, summaries, schemas, and prospective intentions. Working and coding pipelines extract what a session did separately from lessons that may be reused; the coding pipeline also attaches the actual diffs and user-described revisions for the code touched by each fact. The SDK accepts plain text or OpenAI-format messages, supports automatic scene routing, source isolation, CRUD operations, and configurable vector, graph, and metadata stores. The repository also includes MemHub, a local-first desktop and CLI product that combines conversation history and coding traces from authorized AI applications into a managed local runtime. Hy Memory is distributed under the Apache-2.0 license and can use OpenAI-compatible LLM and embedding endpoints, with ChromaDB as a default vector store and optional Qdrant, FAISS, Kuzu, Neo4j, and MySQL backends.

Paritok is an open-source compression gateway for AI coding agents. It runs as a drop-in proxy between an agent and an upstream LLM API, stripping irrelevant tool schemas, compressing tool results and file reads, and summarizing stale conversation history before forwarding requests. Compressed content remains recoverable on demand through the gateway, while responses pass back to the agent unchanged. It supports agents such as Claude Code, Cursor, Codex, and OpenHands, as well as agents that support BASE_URL configuration, and is powered by an open-source code-focused 4B compression model.

Context Mode is an MCP server and plugin for AI coding agents that reduces context-window usage by routing large tool outputs through sandboxed subprocesses. Its execution tools run code in supported languages, process files, fetch and analyze URLs, and return selected stdout or search results instead of exposing raw logs, snapshots, API responses, or file contents to the conversation. The project reports up to 98% context reduction in its benchmarks. It also provides session continuity across supported agents. Hooks capture tool calls, edits, prompts, decisions, errors, and other session events in SQLite; before compaction, the system builds a prioritized resume snapshot, and after compaction or session resumption it retrieves relevant events through SQLite FTS5 search with BM25 ranking. Content indexing uses heading-aware chunking, stemming, trigram matching, reciprocal-rank fusion, proximity reranking, fuzzy correction, and smart snippets. The MCP interface includes execution, batching, indexing, search, fetching, statistics, diagnostics, upgrade, and purge tools. Context Mode supports multiple coding-agent platforms through MCP servers, native plugins, and platform-specific hooks, with automatic routing enforcement where hooks are available and instruction files for platforms without them. The repository states that processing and SQLite storage are local, with no account or telemetry requirement. It is licensed under the Elastic License 2.0, which permits use, modification, and distribution but restricts offering the software as a hosted or managed service and removing licensing notices.

ai-memory is an open-source local server for long-term memory and session handoff among AI coding agents. It captures prompts, tool calls, and agent context through MCP integrations and lifecycle hooks, storing the material in a searchable, Git-backed Markdown wiki. When a session ends or is explicitly finalized, it generates handoff context for a subsequent session, including the project architecture, failed approaches, and open questions, so work can continue across agent vendors without restating the context; clients without a true session-end hook use explicit finalization commands. The project documents integrations for Claude Code, Codex, Command Code, Devin CLI, OpenCode, Cursor, Gemini CLI, Oh My Pi, Pi, and Crush, with agent-specific configuration, generated plugins or extensions, and capture exclusions. It runs on Linux, macOS, and Windows through WSL2, with experimental native Windows support, and is distributed through Docker images and native release binaries.