Tools
AI & Machine Learning tools 11 tools
11 tools
Custom AI agent platform to speed up your work.
Stateful MCP server over real language servers. 50 tools, 30 CI-verified languages, 20 agent workflows. Persistent sessions keep the index warm across files and projects. Speculative execution simulates edits in memory before writing to disk.
Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single ~15MB binary, runs offline on edge devices.
Run a fleet of AI coding agents (Claude Code, Codex, Aider) across many repos, branches, and git worktrees from one tmux-backed terminal. Four-zoom TUI (fleet, split, babysit grid, focus), needs-you triage, durable sessions that survive restarts.
Durable, agent-native AI runtime with native MCP client + server and A2A support. Rust core for performance, Python authoring for ergonomics. Features graph-based workflows, durable execution, and multi-agent coordination.
Local-first orchestrator that runs inside your existing Claude or Codex CLI via MCP; classifies a request, decomposes it into tickets with a dependency DAG, dispatches across one or more repos, and supervises with live PR tracking + approval gates. CLI, TUI (ratatui), and GUI (Tauri)
AIOS: AI Agent Operating System
playwright for windows computer use
Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.