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🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

frameworkTypeScriptMIT
GitHubCompare
Refreshed 4h ago
OverviewActivity52wAlternativesDocs
Stars481
Forks53
HF Downloads30d
Last commit5d ago
Refreshed4h ago
Project healthActiveLast commit 5d ago.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
78 / 100
Composite score from 6 signals. How we score →
Active project
78Score
Growth
88A
Activity
90A
Documentation
70C+
Maturity
75B
Community
88A
Production
58C
GitHub stars · 90 days481 +10.7%
30d90d1y
latest release
Commit activity · 52 weeksActive contributor activity
LowHigh
JunSepDecMarNow
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguageTypeScript
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

78
Score 78/100
Above average

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