by Ryder-Sun
Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.
# Add to your Claude Code skills
git clone https://github.com/Ryder-Sun/MeldworkGuides for using ai agents skills like Meldwork.
Last scanned: 9/23/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-09-23T09:06:41.134Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how Meldwork compares with popular alternatives.
Meldwork is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Ryder-Sun. Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions. It has 1,460 GitHub stars.
Yes. Meldwork passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Ryder-Sun/Meldwork" and add it to your Claude Code skills directory (see the Installation section above).
Meldwork is primarily written in JavaScript. It is open-source under Ryder-Sun on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Meldwork against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Set the goal. Let Agents work together. Meldwork brings your existing Agents into one working group to share context, discuss approaches, carry out work, and check each other's results — with less relaying, prompting, and stitching outputs together.
Meldwork is a local-first multi-Agent collaboration workspace for the Agent tools you already use on your Mac. Once you choose the participants, goal, context, and permissions, Agents in Auto Discussion can build on each other's work, request contributions or reviews, and advance the task within the authorized scope. Direct conversations and independent concurrent responses also support research, analysis, writing, planning, review, and implementation.
You do not need to direct every round, but you still set the goal, grant permissions, and make key decisions. Missing information, permission requests, or tradeoffs may require your input. Workspace writes are opt-in; collaboration history, run state, and deliverables stay local so you can revisit the work and continue it.
Meldwork is useful when several Agents need to advance the same task and you want to spend less time passing context and coordinating next steps. Typical work includes:
| Mode | What happens | Best for |
|---|---|---|
| Direct | One selected Agent keeps its conversation and native session when supported. | Focused research, writing, analysis, or execution. |
| Concurrent Responses | Selected Agents receive the same frozen task snapshot and return independent responses in stable order. | Comparing perspectives before choosing a path. |
| Auto Discussion V4 | Agents propose independently, discuss, request peer contributions, carry out authorized work, and check deliverables. A delivery owner judges progress and requests user decisions when needed. Native sessions continue when supported. | Multi-step collaboration with less manual coordination. |
Participants are selected by the user. Automatic selection from a larger roster is outside the current preview.
Meldwork keeps task context, Agent replies, run state, and deliverables locally so you can see how work progressed, where it stalled, and what needs attention next. The Run Ledger preserves phase, participant, attempt, artifact, recovery, and Human Gate state. Diagnostic tool output and sensitive runtime details stay behind the Electron main-process boundary.
These records help you inspect collaboration; they do not establish that every claim has been fact-checked. Peer review does not guarantee correctness, and important deliverables still need acceptance checks appropriate to their use.
Meldwork detects and invokes compatible locally installed Agent commands. The catalog currently includes:
Approved Agent Connectors and custom executable Agents use the desktop connector paths. The desktop guide contains the current adapter, installation, provider, and capability matrix.
Meldwork runs as a local Electron application. Conversations, group configuration, run records, and app-owned attachments stay in the local user data directory. The renderer receives only validated snapshots through a narrow preload API; executable paths, credentials, native session references, Skill paths, and unrestricted shell access remain in the main process.
Selected Agents may send prompts, attachments, or Skills to the model provider configured in their own CLI. Knowledge access is explicit and bounded: the current implementation supports local Obsidian retrieval and CLI-owned Feishu or DingTalk access modes. Local-first describes where Meldwork stores and coordinates work; it does not promise that an Agent's model provider is offline.
For Apple silicon macOS, download the Meldwork V1.0.9 prerelease and choose Meldwork-1.0.9-arm64.dmg. The release also includes a ZIP archive and SHA-256 manifest. Install at least one supported local Agent CLI before opening the app.
The preview artifacts are ad-hoc signed and not notarized with an Apple Developer ID. macOS may require Open Anyway under System Settings → Privacy & Security on first launch.
Prerequisites: Node.js 22.12+ and npm.
npm --prefix frontend ci
npm --prefix desktop ci
npm --prefix desktop run dev
Before distributing a build:
npm --prefix frontend test
npm --prefix frontend run build
npm --prefix frontend run build:desktop
npm --prefix desktop test
Auto Discussion can complete native Agent turns on explicit completion and requires each participant to approve the same delivery version. A real six-Agent unlimited discussion completed in nine rounds with matching delivery hashes. This preview also improves Agent authentication status, handles CLI authentication errors reported on stderr, and bundles knowledge-base logos.
Agent installation does not guarantee a working model connection: OpenClaw's isolated runtime may not support the native environment configuration, WorkBuddy's CLI may require its own login, and Zcode needs valid native provider credentials. Desktop and frontend regression checks passed 1,700 and 379 tests respectively.
V1.0.8 keeps Kimi read-only queries in manual approval mode instead of forcing a planning cycle, preserves MiMo's final text chunks, forwards supported native CLI configuration, and retains the selected Auto Discussion mode after sending. Repetitive native output is cancelled with partial replies preserved. Zcode remains before Pi Agent with its official logo and native default configuration; WorkBuddy can reuse a configured desktop model selected in Meldwork.
Real CLI acceptance covered all 13 installed Agents. A five-Agent unlimited discussion completed all 14 native calls through an isolated Magpie hotfix. The installed Magpie version can rewrite stop into tool_calls when tool_calls is null, causing OpenCode, MiMo, and Hermes to