Comparison
agent-orchestrator vs learn-claude-code
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.
Markdown twin · agent-orchestrator alternatives · learn-claude-code alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agent-orchestrator | learn-claude-code |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (14d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings As of today · osv@v1 | No lockfile (source not queried) As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- agent-orchestrator
- 8.3k
- learn-claude-code
- 71k
Forks
- agent-orchestrator
- 1.2k
- learn-claude-code
- 12k
Open issues
- agent-orchestrator
- 483
- learn-claude-code
- 62
Language
- agent-orchestrator
- Go
- learn-claude-code
- Python
Adopt for
- agent-orchestrator
- -
- learn-claude-code
- Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts.
Persona
- agent-orchestrator
- -
- learn-claude-code
- -
Runtime
- agent-orchestrator
- -
- learn-claude-code
- -
License
- agent-orchestrator
- Apache-2.0
- learn-claude-code
- MIT License
Last pushed
- agent-orchestrator
- Jul 15, 2026
- learn-claude-code
- Jun 26, 2026
Categories
- agent-orchestrator
- AI Agents, Computer Vision, Developer Tools
- learn-claude-code
- AI Agents, Developer Tools
Trust and health
Maintenance
- agent-orchestrator
- Very active (96%)
- learn-claude-code
- Active (82%)
Days since push
- agent-orchestrator
- 0d
- learn-claude-code
- 14d
Open issues (now)
- agent-orchestrator
- 483
- learn-claude-code
- 62
Owner type
- agent-orchestrator
- User
- learn-claude-code
- Organization
OSV dependency advisories
- agent-orchestrator
- Published findings
- learn-claude-code
- No lockfile (source not queried)
Full report
- agent-orchestrator
- Trust report
- learn-claude-code
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentWrapper/agent-orchestrator) · observed Jul 15, 2026
- GitHub forks (AgentWrapper/agent-orchestrator) · observed Jul 15, 2026
- Last push (AgentWrapper/agent-orchestrator) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (shareAI-lab/learn-claude-code) · observed Jul 11, 2026
- GitHub forks (shareAI-lab/learn-claude-code) · observed Jul 11, 2026
- Last push (shareAI-lab/learn-claude-code) · observed Jun 26, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-orchestrator 8.3k · learn-claude-code 71k (synced Jul 15, 2026).
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 and learn-claude-code alternatives (agent-orchestrator markdown twin, learn-claude-code markdown twin), 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 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; learn-claude-code trust report.