Jumping-Agent-platform

Game-style visual builder for AI agents, with WeChat channel binding, a ReAct code assistant and an orchestrator service.

Builder by answeryt

IndexedApache-2.0★ 767

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About

Jumping-Agent presents agent workflows as a jump-game style interface aimed at beginners, with a tablet-first frontend built with Three.js. A ReAct agent completes and rewrites agent code based on the requirements entered in the frontend, and an orchestrator service builds and runs the generated agent workspaces. A WeChat account can be bound by QR code so built agents can be used from WeChat, and the quick start needs Python, Node.js and an OpenAI API key.

Use cases: code-generation, agent-orchestration

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Fact sheet

Open source: Yes
Agent features: memory, mcp, toolsREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 767
Forks: 167
Open issues: 10
Last commit: Sep 17, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Apache-2.0
Repository: github.com/answeryt/Jumping-Agent-platform
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Jumping-Agent-platform. Agent Mart. https://agentmart.dev/builders/jumping-agent-platform (last updated 2026-10-24)