Explore/framework/agent-systems-handbook
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Prompthon-IO/agent-systems-handbookSlowing

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: open agent training environments, emerging agent runtimes, and production AI workflow patterns.

frameworkMDXNOASSERTION
GitHubCompare
Refreshed 1h ago
OverviewActivity52wAlternativesDocs
Stars315
Forks63
HF Downloads—30d
Last commit14d ago
Refreshed1h ago
Project healthSlowingLast commit 14d ago.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesNOASSERTIONVerify license before production use.
AgentHub Score
63 / 100
Composite score from 6 signals. How we score →
Active project
63Score
Growth
85B+
Activity
82B+
Documentation
70C+
Maturity
75B
Community
84B+
Production
58C
GitHub stars · 73 days observed315 -0.32% / 30d
snapshots
Repository activity · 73 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-08
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
LanguageMDX
LicenseNOASSERTION
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

63
Score 63/100
Below average

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