AI Client2026
Local-first AI agent workspace that unifies coding, writing, design, research and automation under one runtime shared between a desktop GUI and a terminal TUI. Features Agent Graph for long-running, auditable workflows, multi-provider model support, and local-by-default data storage.
AI Client2026
Terminal-native AI coding agent that reads and edits code, runs shell commands, searches files, fetches web pages, and determines next steps from interactive feedback. Delivered as a single-binary TUI with video input, subagents, a plugin marketplace, and IDE (ACP) integration.
AI Agent2026
Runs a multi-stage, Claude-powered pipeline to find, verify, triage, and generate patches for code vulnerabilities, plus interactive skills for threat modeling and customization. Default harness targets C/C++ memory bugs using ASAN inside Docker/gVisor; autonomous runs execute target code and require sandboxing.
AI Agent2026
Spawns parallel, isolated LLM reasoning frames, then scores, clusters and prunes ideas to avoid premature convergence. Packaged as a reusable Claude/Codex agent skill with CLI and TypeScript APIs for ideation, design decisions and fuzzy debugging.
AI Agent2026
Runs an external, reviewable coding-agent harness that turns intent into repeatable software work: clarifies requirements, builds reviewed plans, executes in tmux-backed sessions, and collects durable verification. Ships Telegram/Discord delivery, a research REPL, and optional desktop-control tools; beta-stage.
AI Agent2026
Local-first AI agent workspace for authoring, running, and recovering agent executions — records model messages, tool calls, tool results, permission decisions, and termination events in an append-only Runtime Event Log. Provides Desktop (Electron), TUI/CLI, and headless Eval surfaces plus local tools and runtime features for pruning, compaction, and durable recovery.
AI Agent2026
Maintains a local, durable control-plane state that preserves objectives, typed todos, gates, evidence logs, quotas, and verifiable handoffs for long-running AI agent work. Designed to coordinate multi-day agent loops across Codex, Claude Code, Cursor or custom runners while keeping human judgment, auditability, and safe fallbacks explicit.
AI Agent2026
Turns terminal-agent CLIs you already run into a local desktop multi-agent harness: each agent runs as a real terminal process, with shared semantic memory, encrypted on-node messaging, a GOD orchestrator for routing/approvals, and a visual office floor for monitoring.
AI Client2026
Centralizes indexing and management of local AI coding-agent sessions so you can search, view full context, migrate, resume, and restore conversations across agents and devices. Supports extensible local sources, AI summaries, optional Supabase sync, and Skills management.
AI Model2026
Native multimodal model for image/text/video→text tasks with million‑token context support. Uses a sparse-attention operator to cut long‑context compute and latency, and targets agentic, coding, and long-horizon conversational workloads.
AI Model2026
Agentic LLM for long-horizon, environment-driven workflows: decomposes goals, generates and executes code/tool calls, evaluates outputs, and iterates. The Pro variant emphasizes coding and terminal execution and is published for use with sglang and multi-node H100 deployment.
AI Model2026
Provides compact, agentic text-generation for long-horizon, tool-enabled workflows — trading some peak capability for lower latency and easier on-prem deployment. Key features: adaptive/coherent thinking traces, function-calling support, and sglang/docker-ready serving.