AIAny
AI Agent2026
Icon for item

Rakazo

Runs persistent, self-hosted AI teammates that retain conversation, memory, routines and a sandboxed browser/shell. Supports bring-your-own models, local or remote sandbox providers, voice, team computers and integrations for auditable, controllable agent workflows.

Introduction

Most chat assistants treat each conversation as transient; Rakazo treats an agent as durable working state. That shift matters when agents must hold long-term context, run repeatable workflows on a computer, and keep credentials and logs under operator control rather than a hosted vendor.

What Sets It Apart
  • Durable agent identity and portable state — each bot keeps conversations, memory, routines, and a recoverable home so multi-step or long-horizon tasks persist beyond a single session, which reduces repeated context rebuilding.
  • Sandboxed computers and delegation — bots get isolated browser, terminal, and desktop sandboxes (local Docker or optional remote providers) and can delegate to peer bots or short-lived subagents, enabling real interactions with systems and files instead of purely text responses.
  • Bring-your-own models and provider-neutral design — you can connect external providers, local OpenAI-compatible servers, or ordered backup models; the project separates model, compute, and integration providers so operators control billing and data placement.
  • Integrations and orchestration for ops — voice, app connectors, and programmatic routines (readable Markdown) plus audit logs make Rakazo suitable for teams that need repeatability and traceability in agent-driven workflows.
Who It's For and Trade-offs

Great fit if you need agents that must keep durable context, run workflows on real machines, or satisfy data residency and audit requirements. It favors operators who can manage a self-hosted stack (Postgres, worker processes, sandbox supervisors) and want full control over models and compute.

Look elsewhere if you need a zero-ops hosted assistant with managed model billing and no infrastructure maintenance — Rakazo requires operator setup and ongoing service management.

Where It Fits

Positioned between hosted assistants (Grok Bot, Muse, Hark Pro) and lightweight local UIs: it targets teams that want the convenience of a chat-driven agent plus the guarantees of self-hosting, sandboxed execution, and portable agent state rather than a purely cloud-hosted assistant.

More Items

GitHub
AI Client2026

Aggregates multiple free public market endpoints into a self‑hosted, terminal‑style web trading workspace: live quotes, candlesticks, screener, options, crypto, portfolio tracking and an optional Claude AI assistant. No paid API keys and automatic provider fallbacks.

GitHub
AI Infra2026

Compresses tool outputs, logs, files and RAG chunks locally before they reach the LLM to reduce token usage while caching originals for on-demand retrieval. Provides proxy/library/wrap modes, JSON- and code-aware compressors, and reversible compression.

GitHub
AI Client2026

Operate DeepSeek Harness from an interactive terminal with streaming replies, tool cards, session controls and live context metrics. Also offers experimental Claude and Codex backends behind the same interface.