This is an interesting project, and I’m very interested in this project.I was wondering if the project is still looking for a mentor. If so, I would be happy to serve as a mentor.
Best, Huajie Wang tison <[email protected]> 于2026年8月5日周三 13:50写道: > Hi IPMC, > > I would like to propose Maka[1] as a new apache incubator project, you can > find the proposal[2] of Maka for more detail. > > [1] https://github.com/maka-agent/maka-agent/ > [2] > > https://cwiki.apache.org/confluence/spaces/INCUBATOR/pages/446070971/Maka+Proposal > > Best, > tison. > > Full text of the proposal below: > > ## Abstract > > Maka is a local-first AI agent runtime and workspace. It records model > messages, tool calls, tool results, permission decisions, and termination > events in append-only logs. Sessions, model context, durable tasks, and > recovery are derived from those logs, allowing interrupted or long-running > agent work to be inspected, replayed, resumed, and evaluated. > > ## Proposal > > Maka provides a single execution runtime shared by its desktop application, > terminal TUI, non-interactive CLI, and headless task runner. Its design > separates durable execution facts from the temporary context sent to a > model. > > Maka provides: > > - Append-only execution records. Model messages, tool calls, tool results, > permission decisions, and termination events are persisted before they are > projected into user-facing state. > - Rebuildable state. Sessions, active context, UI state, and recovery > decisions are derived from the event log rather than maintained as > independent sources of truth. > - Context management without history deletion. Tool-result pruning and LLM > compaction reduce the context used for the next inference while preserving > the original execution record. > - Durable work beyond one turn. The headless runner gives a task its own > identity, event log, budgets, permission pauses, continuation, and resume > behavior. > - Evidence-based completion. The runtime records a model's completion claim > separately from verified process and tool outcomes. > - Multiple surfaces over one runtime. Maka provides an Electron desktop > application, a terminal TUI, a non-interactive CLI, and a headless runner. > > Maka is written primarily in TypeScript and runs on Node.js. Sessions, > settings, credentials, and run records remain on the user's machine by > default. > > ## Background > > An AI agent combines an LLM with tools, permissions, persistent state, and > a control loop. As tasks become longer, the surrounding runtime must handle > partial tool execution, context limits, process interruption, permission > boundaries, and recovery. Maka focuses on this runtime layer. The public > GitHub project was created on 2026-05-27 and has been developed through > public issues and pull requests since then. > > ## Rationale > > Many agent applications persist a final conversation but not the full > execution process that produced it. This makes interrupted work difficult > to recover and tool behavior difficult to audit or evaluate. Maka treats > execution history as durable evidence and uses that evidence to rebuild > state and resume work. > > The ASF offers neutral ownership, public decision-making, meritocratic > community growth, and long-term stewardship. These properties are important > for an agent runtime intended to support integrations and products > maintained by independent organizations. > > ## Initial Goals > > - Transfer the codebase to the ASF and complete name, provenance, license, > and IP clearance. > - Conduct technical and governance decisions on the public mailing list. > - Document a contributor-to-committer path based on sustained, reviewable > contributions. > - Broaden ownership across runtime, desktop, integrations, documentation, > and release engineering. > - Produce an Apache-compliant source release and establish a repeatable > release process. > - Grow adoption without coupling the project to a single model vendor or > commercial sponsor. > > ## Current Status > > ### Meritocracy > > Development takes place through public issues and pull requests. > Contributions are reviewed on technical merit, and repeat contributors have > taken responsibility for runtime, desktop, computer-use, provider, and > documentation work. During incubation, the project will make this > progression explicit through documented committer criteria and public > discussion. > > ### Community > > As of 2026-08-03, the repository has 1,104 GitHub stars, 123 forks, and 40 > contributors. In the preceding 30 days, 34 authors contributed commits. > Collaboration currently takes place through GitHub issues and pull > requests; during incubation, project-wide decisions will move to the public > development mailing list. > > ### Core Developers > > - Jie Wen (jackwener) — project initiator; runtime architecture and > distributed-systems design. He is a PMC member and committer of Apache > Arrow, Apache DataFusion, and Apache Doris. > - Yuhan Lei (Astro-Han) — runtime, evaluation, benchmarking, and desktop > development; also an OpenCLI contributor. > - Kun Li (likun666661) — runtime event-log architecture, the headless task > loop, and completion verification. > > Additional module owners and repeat contributors include Haoqing Wang > (hqhq1025, computer-use), Zhanghan Gao (YayoiNanoka), sunheyi6, Nyvo-io, > Yongtao Wang (M4n5ter), Colafornia, GabrielDrapor, MicroGery, zhiiw, and > others. > > ### Alignment > > Maka is intended to be a vendor-neutral runtime used below model providers > and end-user applications. ASF governance can keep its interfaces, > execution records, and extension points independent of any single vendor. > The project also shares engineering concerns with ASF data and > infrastructure projects, including append-only logs, projections, durable > state, and reproducible execution. > > ## Known Risks > > ### Project Name > > A preliminary web and repository search found unrelated uses of "Maka," > including a Chinese design and marketing service and several small > open-source projects. None appears to provide the same developer-facing AI > agent runtime, but this preliminary search is not a substitute for the ASF > name review. The podling will complete `PODLINGNAMESEARCH` during > incubation and will rename the project if required by ASF policy. > > ### Orphan Products > > The project is young, so long-term continuity has not yet been > demonstrated. The risk is reduced by multiple active maintainers and > contributors who already own runtime, desktop, headless, and computer-use > components. Incubation will focus on documenting these ownership > boundaries, adding committers, and making release knowledge shared rather > than person-specific. > > ### Inexperience with Open Source > > One initial committer is a PMC member and committer of Apache Arrow, Apache > DataFusion, and Apache Doris. Several other developers have experience > contributing to open-source projects. Most of the proposed community has > not yet operated an Apache release or conducted project business on an ASF > mailing list. The mentors will help the podling establish release, voting, > IP, and community practices, and those practices will be documented so they > do not depend on one experienced committer. > > ### Length of Incubation > > The project has no fixed graduation deadline. The initial expectation is > approximately two years, but graduation will depend on a sustainable and > diverse committer base, public governance, shared release ownership, and > multiple Apache-compliant releases. > > ### Homogenous Developers > > The initial committers currently share overlapping social and professional > networks, and much real-time coordination occurs in Chinese. They > nevertheless represent multiple employers, a university, and independent > contributors. The project will conduct decisions and votes in English on > the public development mailing list, improve English documentation, and > recruit contributors outside the current networks. > > ### Reliance on Salaried Developers > > The initial committers represent several employers, a university, and > individual contributors; they are not all paid by one organization. Paid > work may nevertheless influence where some contributors spend their time. > The podling will track affiliation diversity and broaden the committer base > so development and releases do not depend on one employer or a small group. > > ### Relationships with Other Apache Products > > Maka does not duplicate an existing ASF product. It operates at the AI > agent runtime layer, while sharing concepts with Apache data and > infrastructure projects such as append-only logs, projections, and durable > state. Future integrations may expose ASF storage, data-processing, and > observability systems as tools or backends, but no such integration is > required for incubation. > > ### An Excessive Fascination with the Apache Brand > > The project seeks neutral governance, public decision-making, a > meritocratic committer model, and long-term stewardship. The initial goals > focus on community and release practices rather than promotion under the > Apache name. > > ## Documentation > > - Repository and README: [ > > https://github.com/maka-agent/maka-agent](https://github.com/maka-agent/maka-agent) > - Documentation index: [docs/README.md]( > https://github.com/maka-agent/maka-agent/blob/main/docs/README.md) > - Architecture guide: [ARCHITECTURE.md]( > https://github.com/maka-agent/maka-agent/blob/main/ARCHITECTURE.md), with > an eight-chapter index and bilingual English/Chinese chapters under > [docs/architecture/]( > https://github.com/maka-agent/maka-agent/tree/main/docs/architecture). > - Additional design and verification documents cover computer-use safety, > execution evidence, durable workspaces, permissions, skills, and > evaluation. > > ## Initial Source > > The source is currently hosted at [ > > https://github.com/maka-agent/maka-agent](https://github.com/maka-agent/maka-agent) > . > The public repository was created on 2026-05-27 and is licensed under the > Apache License, Version 2.0. If the proposal is accepted, the repository > will move to [ > > https://github.com/apache/incubator-maka](https://github.com/apache/incubator-maka) > . > A future project website will use [https://maka.apache.org]( > https://maka.apache.org). > > ## Source and Intellectual Property Submission Plan > > The existing source is licensed under the Apache License, Version 2.0. > Before or during code transfer, the podling will: > > - Obtain ICLAs from all initial committers and determine with the Incubator > PMC whether a Software Grant or CCLA is required for any contributed code. > - Verify the provenance of the initial codebase and identify code owned by > contributors or their employers. > - Bring source headers, `LICENSE`, and `NOTICE` files into line with ASF > policy. > - Remove, replace, or relicense any code or asset that cannot be > contributed to the ASF. > - Re-run dependency and assembled-artifact license audits before the first > Apache release. > > ### External Dependencies > > Maka is a TypeScript monorepo. Most of the runtime is implemented in Maka's > own workspace packages; the repository currently has 33 direct third-party > production dependencies. The full transitive closure is larger and is > generated from `package-lock.json` for each release rather than maintained > by hand in this proposal. > > The dependencies fall into five groups: > > - Runtime and user interfaces. Node.js (currently 22.19 or later) runs the > shared runtime, CLI, and headless surfaces. Electron/Chromium hosts the > desktop application. React and Astryx provide the desktop UI, while > `@earendil-works/pi-tui` provides the terminal TUI. The CLI and headless > runner do not require Electron or React. > - Model access. The Apache-2.0 Vercel `ai` SDK and its Anthropic, Cohere, > Google, OpenAI, and OpenAI-compatible adapters normalize model-provider > protocols. Maka does not require a particular commercial model service or a > Maka-operated control plane. A user may configure a remote provider or a > local compatible endpoint; credentials remain local and are not part of any > release. > - Agent protocols and local execution. `@modelcontextprotocol/sdk` > implements MCP interoperability. `node-pty` and the headless xterm packages > provide interactive shell sessions and terminal emulation, > `fs-native-extensions` provides cross-process file locking, and > `@jackwener/opencli` provides browser automation over CDP. Smaller > libraries such as `undici`, `ws`, `yaml`, and `zod` handle networking, > configuration, and validation. > - Optional integrations. Slack, Lark/Feishu, and WeCom SDKs are used only > when the user enables the corresponding bot channel. These services are > integrations, not infrastructure required to build or start Maka. > - Build and test tooling. TypeScript, esbuild, Vite, Electron Builder, > Playwright, Storybook, and Tailwind CSS build and test the project; Biome > provides linting and formatting. These tools are not loaded by the CLI or > headless runtime. Build outputs that enter a binary release are covered by > the release audit described below. > > #### License and Release Treatment > > On 2026-08-03, this inventory was regenerated and verified after `npm ci` > in a clean checkout. The result matches the checked-in file and records 239 > production npm packages: 180 MIT, 21 Apache-2.0, 19 ISC, 15 BSD-3-Clause, 2 > BSD-2-Clause, 1 Python-2.0, and 1 BlueOak-1.0.0. These are ASF Category A > licenses, and that inventory records no Category X dependency. > > Generated npm inventory (exact `package@version`, grouped by selected > license) > > The following list is generated from the exact `@maka/desktop` production > dependency closure in `package-lock.json` by > `scripts/generate-third-party-notices.mjs`: > > - Apache-2.0 (21) > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@ai-sdk/[email protected]` > - `@jackwener/[email protected]` > - `@mozilla/[email protected]` > - `@vercel/[email protected]` > - `@workflow/[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - `[email protected]` > - BSD-2-Clause (2) > - `@mixmark-io/[email protected]` > - 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The source distribution does not vendor > `node_modules`. Binary distributions carry separate notices for the npm > closure, Electron/Chromium, fonts, and icon assets. > > Build-only dependencies > > `lightningcss` (MPL-2.0) and `caniuse-lite` (CC-BY-4.0) are used only to > build the desktop application. They are not redistributed as components of > Maka. > > Optional macOS dependency > > The optional macOS computer-use backend uses `cua-driver`, which is based > on the MIT-licensed `trycua/cua` project. The `cua-driver` executable and > its Rust crates are not included in Maka source or binary distributions. > Apache releases ship with this backend disabled, so `cua-driver` is not > part of the release dependency inventory above. > > ### Cryptography > > Maka is not primarily a cryptographic product; it uses standard TLS/HTTPS > libraries for talking to model providers and standard hashing for > content-addressed artifacts. If any bundled cryptographic functionality > triggers ASF export-notification (ECCN) requirements, we will notify the > ASF and complete the required paperwork. > > ## Required Resources > > ### Mailing Lists > > - [email protected] > - [email protected] > - [email protected] > - [email protected] > > ### Subversion Directory > > Not requested. > > ### Git Repositories > > - [ > > https://gitbox.apache.org/repos/asf/incubator-maka.git](https://gitbox.apache.org/repos/asf/incubator-maka.git) > - Mirrored to [ > > https://github.com/apache/incubator-maka](https://github.com/apache/incubator-maka) > > ### Issue Tracking > > The community would like to continue using GitHub Issues at [ > > https://github.com/apache/incubator-maka/issues](https://github.com/apache/incubator-maka/issues) > . > > ### Other Resources > > The community would like to continue using GitHub Actions for continuous > integration. No additional infrastructure is currently required. > > ## Initial Committers > > | Name | GitHub ID | Mail Address | Affiliation | > | --- | --- | --- | --- | > | Jie Wen | jackwener | [email protected] | Botiverse, Inc. | > | Yuhan Lei | Astro-Han | [email protected] | Shanghai CENO New > Material Technology Co., Ltd. | > | Kun Li | likun666661 | [email protected] | Shanghai Geshu Zhizhi > Technology Co., Ltd. | > | Zhanghan Gao | YayoiNanoka | [email protected] | South China > University of Technology | > | Haoqing Wang | hqhq1025 | [email protected] | Beijing University of > Posts > and Telecommunications | > | Yuhang Chang | MicroGery | [email protected] | Shenzhen Morphi > Intelligence Technology Co., Ltd. | > | Yongtao Wang | M4n5ter | [email protected] | Individual | > > ## Sponsors > > ### Champion > > tison [[email protected]] > > ### Nominated Mentors > > - tison [[email protected]] > - Hao Ding [[email protected]] > - Zhuoran Shang [[email protected]] > - Xinyu Tan [[email protected]] > > ### Sponsor Entity > > - The Incubator >
