Omnigent is an open-source AI agent framework and "meta-harness" that, per its project documentation, mixes Claude Code, Codex, Cursor, OpenCode, Hermes, Pi and user-defined YAML agents in the same session, with sessions that follow you between terminal, browser, phone and a macOS desktop app. The README also claims support for first-party API keys or Claude/ChatGPT subscriptions, cloud sandboxes such as Modal, Daytona, E2B and Kubernetes, and policies that pause for approval, cap spend or limit tool access, plus session sharing for teammates. The repository is currently listed on GitHub Trending for Python.
Agency Agents is a growing collection of AI agent personas that started from a Reddit thread and months of iteration, spanning engineering categories such as frontend, backend, DevOps, security and data, with each agent given its own identity, workflows and deliverables. The project now offers a native macOS, Linux and Windows app that browses the full roster and installs agents into Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Qwen and Osaurus in one click, alongside script-based installs and auto-updates. The repo describes the agents as "production-ready," a claim that comes from the project itself rather than independent testing.
Diagram Design is a diagramming skill/plugin for agent hosts including Claude Code, Codex, GitHub Copilot, Factory Droid and Pi. It emits self-contained HTML + SVG with no build step, JavaScript or external image dependencies, and each visual type ships in minimal-light, minimal-dark and full-editorial variants. Creator Cathryn Lavery (LittleMight) added ten layout grammars in v2.5.10: Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map and database schema. The skill can also read a website to match brand colors and redraw draw.io, Mermaid or Excalidraw sources at a chosen format, size and detail level; official builds come only from the repository.
claude-mem is an open-source persistent memory plugin that captures an agent's tool-use observations during sessions, compresses them into semantic summaries with AI, and injects relevant context into later sessions; it advertises support for Claude Code, OpenClaw, Codex, Gemini, Copilot, OpenCode and more. It installs with a single npx command, stores data in a local SQLite database with Chroma-based hybrid semantic and keyword search, and lets users bring their own OpenRouter or Gemini key, fall back to an Anthropic plan, or subscribe to its hosted memory service (the project claims a 30-day free trial). The repository appeared on GitHub Trending; the usage-gain and trial claims come from the project's own README and are not independently verified.
Termexo v0.10.11 is out. According to its maintainer, Termexo is an MIT-licensed workbench for Windows x64 that uses local MCP to operate the terminals of five coding agents: Claude Code, Codex, OpenCode, Grok Build and Antigravity CLI. This version refines connection onboarding and status reporting. The details come from a maintainer-submitted post, and the accompanying image is a concept illustration rather than a screenshot.
MIT-licensed Windows AI coding workspace Termexo released v0.10.10, exposing its terminal, tasks, and some settings as 19 local MCP tools. These connections are automatically added to newly launched Claude Code, Codex, OpenCode, Grok Build, and Antigravity terminals in Termexo.
What problem it solves
The repository is archived and no longer maintained, with ongoing development continuing under the name Crush. Its archived implementation provided AI-assisted coding, debugging, and related terminal workflows.
Key features
Interactive Terminal Interface — OpenCode provides a terminal user interface for interacting with AI models and managing coding conversations.
Source: RE…
What problem it solves
Coding agents need a structured way to create, manage, and build from Google Stitch designs while integrating with the Stitch MCP server. The project organizes design, code generation, and supporting workflows into skills that can be installed with supported coding agents.
Key features
Design workflows — The design plugin covers converting frontend code into Stitch designs, …
What problem it solves
Making a game requires design documents, art, 3D models, video, code, testing, and publishing, often across several separate tools. OhMyGame brings these activities into one app where an agent can design a game, create its assets, build it, playtest it, and publish it.
Key features
Agent-driven game creation — The built-in agent drafts design documents, generates assets, wri…
What problem it solves
OpenPencil lets users describe UI in natural language and see it appear on an infinite canvas, then modify existing designs by selecting elements and chatting. It also lets multiple AI agents work on different sections of complex pages in parallel while keeping `.op` files human-readable, Git-friendly and diffable.
Key features
Prompt-to-canvas generation — Describe a UI in …
What problem it solves
Developers need a coding agent that can assist with development work while remaining inspectable and open source. The project addresses the need for configurable agents with different access levels, a straightforward installation path across platforms, and a way to explore codebases without modifying them.
Key features
Two built-in agents with different access levels — A def…
What problem it solves
AI coding agents lose context between sessions, so the same decisions get re-explained and nothing about the project is remembered. They also lack a shared workflow and evidence, leaving the human to read every line to confirm what was done. This project adds memory, a workflow, and evidence to agents you already have.
Key features
Persistent project memory with Engram — Eng…
What problem it solves
Developers need a consistent way to control locally configured coding agents across mobile, web, and desktop environments. T3 Code addresses this by providing multiple client applications, support for several agent providers, and remote access to a local server.
Key features
Control from mobile, web, and desktop — Use the mobile, web, or Electron-based desktop application to…
What problem it solves
Coding tools use different component formats, model names, permissions, and discovery rules. Contributors need a shared way to write reusable plugins, agents, skills, and commands once while producing compatible artifacts for each supported harness.
Key features
Multi-harness component support — One collection of plugins, agents, skills, and commands can be used across Claud…
What problem it solves
Coding agents often run with separate dashboards, billing units, and provider defaults, making usage difficult to attribute to an agent, model, or outcome. Teams also need to apply routing, permissions, cost controls, and observability without replacing the harness workflows developers already use.
Key features
Non-invasive agent discovery — The CLI detects supported coding-…
What problem it solves
AI coding assistants can generate interfaces with visual and structural patterns that feel machine-made, such as repetitive headings, empty sections, misplaced heroes, and forms that do not complete their intended action. Hallmark applies design constraints, product-aware page structures, browser-based linting, and fresh-context review to help generated interfaces look desig…
What problem it solves
Agent workflows, corrections, debugging patterns, and repository conventions often disappear when a session ends or remain trapped inside one coding tool. Beacon addresses this by capturing session history across harnesses and turning useful findings into reusable memory for future agents.
Key features
Cross-harness session history — Capture session history from Claude Code,…
What problem it solves
DeepSeek Harness workspaces, tools, and project setup normally remain tied to the computer running the Harness instance. The project addresses the need to continue using that environment from another computer, phone, or browser without requiring a public listening port or public IP on the Host.
Key features
Remote workspace access — Open local workspaces from a web browser, …
What problem it solves
Coding agents run in terminals that die when the client closes, the SSH connection drops, or a machine restarts, so long-running work is lost and the agent that needs attention is hard to find among many panes. Teams also lose sight of which pane is working, blocked, or idle across local and remote machines.
Key features
Detachable background runtime — Terminals keep running…
What problem it solves
AI coding agents often live in separate terminal sessions, lose context when those sessions end, and require repeated supervision. Teams need a shared workspace that connects assigned work, execution, decisions, and results while preserving human review before changes ship.
Key features
Agents as teammates — Create named AI agents with a provider and runtime, then assign the…
What problem it solves
Agent sessions often end without preserving the observations and project knowledge needed for continuity. Claude-Mem addresses this by capturing session activity, generating semantic summaries, and making relevant context available in later sessions.
Key features
Automatic session capture — Claude-Mem records tool usage and other session observations through lifecycle hooks …
What problem it solves
Coding agents can misunderstand requirements, use overly verbose terminology, work without sufficient feedback loops, and accelerate codebase complexity. These skills address those failure modes with repeatable practices that preserve developer control over the engineering process.
Key features
Requirements alignment — Grilling workflows ask detailed questions about a propos…
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