maka vs deepchat
Local-first AI agent workspaces compared
maka and deepchat are TypeScript, Apache-2.0 projects for running AI models and agents in local-first workspaces. maka centers on a shared runtime and an append-only record of agent activity, while deepchat focuses on a desktop assistant with integrations such as MCP tools, Skills, and remote session control.
maka: Keep a Complete Record of AI Agent Work
Apache Maka is a high-performance agent workspace that records every model message, tool call, permission decision, and turn ending. It runs as a desktop app, with TUI and CLI clients, on macOS and preview builds for Windows and Linux.
deepchat: Local-First AI Agent Desktop Client with Electron
DeepChat is a local-first AI agent desktop client built with Electron and Vue for Windows, macOS, and Linux. It brings model providers, agent tools, Skills, MCP, ACP agents, and remote messaging control into one app.
| maka | deepchat | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 5.8k | 6.4k |
| Forks | 557 | 756 |
| Last analyzed | Oct 19, 2026 | Oct 18, 2026 |
Key differences
- maka offers Desktop, TUI, CLI, and evaluation tools backed by one Runtime Host; deepchat is a cross-platform desktop application.
- maka records messages, tool calls, and permission decisions in an append-only event log; deepchat provides structured session history that users can inspect and resume.
- maka supports user-configured cloud APIs, local models, and compatible gateways; deepchat connects to cloud providers and local Ollama models.
- deepchat includes MCP tools, reusable Skills, compatible ACP agents, and messaging-based session control; maka emphasizes agent runs, evaluation, and recovery.
- maka is an Apache Incubator project and has not made an Apache release; deepchat is described as a desktop application, with integration support varying by configuration.
Choose maka if you…
- want a shared agent runtime across desktop, terminal, and evaluation tools.
- need an append-only record of tool calls and permission decisions for review or recovery.
- prefer keeping run records locally while choosing your own model connection.
Choose deepchat if you…
- want a desktop assistant that combines cloud and local Ollama models.
- need MCP tools, reusable Skills, or compatible ACP agents in a desktop workflow.
- want to inspect and resume sessions or control them through configured messaging channels.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.