--- title: "agent-orchestrator vs learn-claude-code" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentwrapper-agent-orchestrator-vs-shareai-lab-learn-claude-code" tools: ["agentwrapper-agent-orchestrator", "shareai-lab-learn-claude-code"] --- # agent-orchestrator vs learn-claude-code *GraphCanon updated Jul 15, 2026* ## Verdict Pick agent-orchestrator when agent-orchestrator is primarily Go; learn-claude-code is Python; pick learn-claude-code when learn-claude-code is primarily Python; agent-orchestrator is Go. [agent-orchestrator](https://aoagents.dev) reports 8.3k GitHub stars, 1.2k forks, and 483 open issues, last pushed Jul 15, 2026. [learn-claude-code](https://learn.shareai.run) has 71k stars, 12k forks, and 62 open issues, last pushed Jun 26, 2026. Figures are from public GitHub metadata via [agent-orchestrator's repository](https://github.com/AgentWrapper/agent-orchestrator) and [learn-claude-code's repository](https://github.com/shareAI-lab/learn-claude-code). | | [agent-orchestrator](/tools/agentwrapper-agent-orchestrator.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Tagline | AO is an agent IDE, that helps developers manage fleets of coding agents to do your day to day tasks for parallel coding agents. It comes with an agentic orchestrator that plans tasks, spawns agents, | Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1 | | Stars | 8,260 | 70,653 | | Forks | 1,182 | 11,506 | | Open issues | 483 | 62 | | Language | Go | Python | | Adopt for | - | Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | AI Agents, Computer Vision, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-orchestrator](/tools/agentwrapper-agent-orchestrator.md) | [learn-claude-code](/tools/shareai-lab-learn-claude-code.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 483 | 62 | | Owner type | User | Organization | | Full report | [trust report](/tools/agentwrapper-agent-orchestrator/trust.md) | [trust report](/tools/shareai-lab-learn-claude-code/trust.md) | ## Decision facts: learn-claude-code - **Requirements:** Min 1 GB RAM - **Adopt for:** Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts. - **License detail:** MIT License ## Choose when ### Choose agent-orchestrator if… - agent-orchestrator is primarily Go; learn-claude-code is Python. - License: agent-orchestrator is Apache-2.0, learn-claude-code is MIT. - Tags unique to agent-orchestrator: agent-fleet, agent-swarm, codex-cli, git-worktrees. - Also covers Computer Vision. ### Choose learn-claude-code if… - learn-claude-code is primarily Python; agent-orchestrator is Go. - License: learn-claude-code is MIT, agent-orchestrator is Apache-2.0. - Requirements: Min 1 GB RAM. - Tags unique to learn-claude-code: agent-development, ai-agent, educational, llm. - When you prefer leveraging both Bash scripting and Python for developing AI agents. ## When NOT to use agent-orchestrator - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use learn-claude-code - For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. - If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites. ## Common questions ### What is the difference between agent-orchestrator and learn-claude-code? agent-orchestrator: AO is an agent IDE, that helps developers manage fleets of coding agents to do your day to day tasks for parallel coding agents. It comes with an agentic orchestrator that plans tasks, spawns agents, . learn-claude-code: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-orchestrator over learn-claude-code? Choose agent-orchestrator over learn-claude-code when agent-orchestrator is primarily Go; learn-claude-code is Python; License: agent-orchestrator is Apache-2.0, learn-claude-code is MIT; Tags unique to agent-orchestrator: agent-fleet, agent-swarm, codex-cli, git-worktrees; Also covers Computer Vision. ### When should I choose learn-claude-code over agent-orchestrator? Choose learn-claude-code over agent-orchestrator when learn-claude-code is primarily Python; agent-orchestrator is Go; License: learn-claude-code is MIT, agent-orchestrator is Apache-2.0; Requirements: Min 1 GB RAM; Tags unique to learn-claude-code: agent-development, ai-agent, educational, llm; When you prefer leveraging both Bash scripting and Python for developing AI agents. ### When should I avoid agent-orchestrator? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid learn-claude-code? For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites. ### Is agent-orchestrator or learn-claude-code more popular on GitHub? learn-claude-code has more GitHub stars (70,653 vs 8,260). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-orchestrator and learn-claude-code open source? Yes - both are open-source projects on GitHub (agent-orchestrator: Apache-2.0, learn-claude-code: MIT). ### Where can I find alternatives to agent-orchestrator or learn-claude-code? GraphCanon lists graph-backed alternatives at [agent-orchestrator alternatives](/tools/agentwrapper-agent-orchestrator/alternatives) and [learn-claude-code alternatives](/tools/shareai-lab-learn-claude-code/alternatives) ([agent-orchestrator markdown twin](/tools/agentwrapper-agent-orchestrator/alternatives.md), [learn-claude-code markdown twin](/tools/shareai-lab-learn-claude-code/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentwrapper-agent-orchestrator-vs-shareai-lab-learn-claude-code.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-orchestrator or learn-claude-code? agent-orchestrator: Very active. learn-claude-code: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agent-orchestrator and learn-claude-code? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-orchestrator trust report](/tools/agentwrapper-agent-orchestrator/trust); [learn-claude-code trust report](/tools/shareai-lab-learn-claude-code/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentwrapper-agent-orchestrator`](/api/graphcanon/graph?tool=agentwrapper-agent-orchestrator) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_