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longyunfeigu/learn-hermes-agentStale

A 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution — inspired by Hermes Agent.

frameworkPythonMIT
GitHubCompare
Refreshed 2h ago
OverviewActivity52wAlternativesDocs
Stars220
Forks31
HF Downloads30d
Last commit3mo ago
Refreshed2h ago
Project healthStaleNo commits in 105d.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
60 / 100
Composite score from 6 signals. How we score →
Active project
60Score
Growth
82B+
Activity
50C
Documentation
70C+
Maturity
71C+
Community
82B+
Production
58C
GitHub stars · 31 days observed220 +13.99% / 30d
snapshots
Repository activity · 31 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-08-27
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
LanguagePython
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

60
Score 60/100
Below average

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