Open Source Gumloop Alternatives
A curated collection of the 2 best open source alternatives to Gumloop.
The best open source alternative to Gumloop is Agenta. If that doesn't suit you, we've compiled a ranked list of other open source Gumloop alternatives to help you find a suitable replacement. Other interesting open source alternative to Gumloop is Giselle.
Gumloop alternatives are mainly Machine Learning Infrastructure but may also be AI Development Platforms or Frameworks & Platforms. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Gumloop.
Open-source workspace where teams build agents by chatting with them, connect them to apps, and run them in the background.

Agenta is an open-source workspace for building specialized agents that automate your work. You describe the job in chat, connect the applications the agent needs, and improve it through feedback rather than redrawing a workflow diagram every time the task shifts.
Agents are defined with open standards, an AGENTS.md file, skills, and MCP servers, so anything built for the wider ecosystem carries across. Claude Code, Pi, and Codex work as harnesses today, models can be self-hosted or reached through an API, and self-hosting lets you run agents against an existing Claude or ChatGPT subscription instead of metered billing.
Several pieces turn a single agent into something a whole team can use.
- Shared workspaces: you and your agent work on the same files, writing documents, organizing research, or maintaining a wiki.
- Human approval: permissions are set per tool, so some actions run automatically, some wait for you, and some are blocked outright.
- Background agents: runs start on a schedule or when an event fires in a connected app.
- Tracing and cost: every model and tool call is inspectable, with token usage and estimated cost tracked per agent.
- Integrations: connect through MCP directly, or reach more than 1,000 apps through Composio, including Gmail, Slack, Notion, and GitHub.
Every run is traced and every agent configuration is versioned, so a failure can be compared against the change that caused it. Team sharing and role-based access come with the open-source edition, an installable setup skill walks you through self-hosting, and a hosted cloud version exists for trying it first.
Visual builder for AI agent workflows that chains several models and plugs into GitHub, for teams automating product delivery work.

Giselle assembles AI agents on a drag-and-drop canvas, so a workflow can be built and changed without hand-writing the orchestration. A single flow can call more than one model provider, which means no single vendor decides what the pipeline is able to do.
Running it locally takes a clone, a pnpm install and one provider key in an environment file, after which the development server serves the builder on port 3000. OpenAI, Anthropic and Google AI are supported, and at least one key is required. A hosted version offers the same features with free agent time each month, and a guide covers building with Giselle through AI coding assistants rather than a traditional editor.
The feature set is organized around delivery work rather than chat.
- GitHub operations: issues, pull requests and deployments handled by agents inside the existing workflow.
- Visual agent builder: agents created and modified through a drag-and-drop interface in minutes.
- Multi-model composition: GPT, Claude and Gemini in one flow, with agents choosing a model per task.
- Knowledge store: code and data searchable from one place, including GitHub vector store integration.
- Team collaboration: shared configurations and contextual awareness, still in development.
- Template hub: community-contributed agent templates for a one-click start, also in development.
Documented uses include a research assistant gathering from web and internal docs, a code reviewer wired into GitHub, a document generator producing specs and release notes, and a workflow automator chaining models across a business process. The project is under active development and licensed Apache 2.0.