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-MHumble/MeldworkLast scanned: 8/28/2026
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}Meldwork is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Ryder-MHumble. Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions. It has 128 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-MHumble/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-MHumble 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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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.
Most tools help humans run more agents. Meldwork is built for a different job: make multi-agent work legible, accountable, and reusable.
The current preview is a local work cell for supported Agent CLIs. It keeps participants explicit, context scoped, collaboration bounded, run state inspectable, and human review in the loop. Selected Agents can now respond concurrently or move through independent proposals, peer negotiation, responsibility-based work, single-writer integration, and independent verification around one goal.
Use Meldwork when you:
| Mode | What happens | Best for |
|---|---|---|
| Direct | One selected Agent keeps its conversation and native session when supported. | Focused work with one Agent. |
| Concurrent Responses | Selected Agents receive the same frozen task snapshot and return independent replies in stable order. | Comparing approaches before choosing one. |
| Auto Discussion V4 | The first round runs concurrent proposals. Later turns follow the discussion: one Agent can route the next turn with @Agent, or several Agents can be selected for a concurrent response. Native Agent sessions continue across rounds. |
Multi-round work that benefits from discussion, flexible routing, and review. |
Participants are always selected by the user. Automatic selection from a larger roster is outside the current preview.
Meldwork is a local-first AI Agent workspace for multi-Agent review and decision traceability, not a terminal, cloud Agent fleet, communication network, or programmable orchestration framework. It connects the local Agent tools you already use to a decision-ready review workflow and keeps independent findings, evidence, responsibility, and the human adoption decision visible in one local work cell.
| Project | Category | What it focuses on | Meldwork's difference |
|---|---|---|---|
| Buzz | Agent communication network | Identity, channels, events, and persistent collaboration. | Case-scoped independent judgments with evidence-backed Decision and Disposition. |
| Pragma | Method and workflow runtime | Reusable Expert, Flow, Memory, Evaluation, and DSL assets. | Keeps disagreement, re-checks, and adoption records visible before a workflow is fixed. |
| Munder Difflin | Visual Agent company | Boss -> Manager -> Workers, with task and activity status. | Tracks Finding -> Evidence -> Decision -> Disposition without hiding dissent behind a central manager. |
| Superset / Conductor / Vibe Kanban | Parallel coding workspaces | Parallel coding Agents, isolated workspaces, diffs, and merges. | Local-first review across heterogeneous CLIs, not terminal count, worktree throughput, or cloud sandboxes. |
| cmux | Agent-native terminal | Low-friction terminals, notifications, and multitasking. | Adds frozen context, independent results, and a human adoption gate. |
| Nimbalyst | Agent and artifact workspace | Parallel Agents with Markdown, mockups, and diagrams. | Places evidence and accountable decisions alongside artifacts. |
| Paperclip | Agent organization management | Companies, roles, budgets, approvals, and org charts. | Grounds responsibility in real findings and outcomes, not a virtual company. |
| MCP Agent Mail | Agent communication infrastructure | Identity, inboxes, threads, and advisory file leases. | Preserves Case and review semantics above the transport layer. |
| LangGraph / CrewAI / AutoGen / OpenAI Agents SDK / Google ADK | Programmable multi-Agent frameworks | Graphs, roles, routing, tools, and approvals for developers. | Delivers a desktop review workflow without requiring teams to build an orchestration framework. |
| Warp Oz / Devin / Factory / OpenHands Cloud | Cloud Agent control planes | Hosted sandboxes, remote execution, and Agent fleets. | Runs in the user's local Electron work cell with existing CLIs and local data boundaries. |
Example: give Codex, Claude Code, and Gemini CLI the same change-review context, compare their independent findings, then adopt only the evidence-backed result you approve.
Meldwork detects and invokes an installed command when its adapter and the CLI version are compatible:
Approved Agent Connectors can be added through the Agent Connector SDK; custom executable Agents use the desktop custom-Agent path. See the desktop guide for the full adapter and capability matrix.
Download Meldwork-0.1.4-arm64.dmg from the official V1.0.4 prerelease, move Meldwork to Applications, and install at least one supported local Agent CLI. The prerelease is ad-hoc signed and not notarized; macOS may require Open Anyway in System Settings -> Privacy & Security on first launch.