maka vs sandbase-harness
Agent runtimes compared
maka and sandbase-harness are TypeScript projects for running AI agents with persistent records of activity. maka centers on a shared runtime and append-only run logs across desktop and terminal interfaces, while sandbase-harness focuses on self-hosted operation with sandboxed tools, an MCP bridge, and a Console.
maka: Run Agents in a Workspace with a Complete Activity Log
Apache Maka is a TypeScript agent workspace for running tasks through a shared runtime and keeping a complete, append-only record of each run. Its Electron desktop app supports macOS, with Windows and Linux previews, and can connect to cloud or local models you provide.
sandbase-harness: Run Self-Hosted AI Agents with Sandboxed Tools
SandBase Harness is a local-first AI agent runtime and MCP bridge, with a built-in Console and Anthropic Claude Managed Agents-style API. It provides sessions, sandboxed tools, memory, credential controls, and audit and replay on your own machine or infrastructure.
| maka | sandbase-harness | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 5.8k | 639 |
| Forks | 557 | 80 |
| Last analyzed | Oct 19, 2026 | Oct 19, 2026 |
Key differences
- maka records model messages, tool calls, permission decisions, and turn endings as append-only RuntimeEvents; sandbase-harness emphasizes persistent sessions, audit logs, and replay.
- maka offers an Electron desktop app, TUI, and CLI using one Runtime Host; sandbase-harness provides a Console, MCP bridge, `/v1` API, SDK, and CLI.
- maka runs sessions and records locally and requires users to supply a model connection; sandbase-harness defaults to SQLite and local workspace storage and supports multiple model providers.
- sandbase-harness offers sandbox backends for local processes, Docker, Kubernetes, and self-hosted workers; maka's listed focus is inspecting and resuming task runs.
- Both projects use TypeScript and Apache-2.0 licensing. maka is under Apache incubation and warns that formats and capabilities may change; sandbase-harness is new and its operational behavior has had less time to become established.
Choose maka if you…
- want a desktop workspace with TUI and CLI options sharing the same runtime.
- need append-only records of model and tool activity, including permission decisions.
- prefer to keep sessions and run records on your machine while connecting your own model.
Choose sandbase-harness if you…
- need sandboxed tool execution through Docker, Kubernetes, local processes, or self-hosted workers.
- want a self-hosted runtime with persistent sessions, audit, and replay.
- need an MCP bridge, a Console, or a `/v1` API modeled on Anthropic's Claude Managed Agents resource shapes.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.