By Prompthon-IO
agent-systems-handbook
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: multimodal file search, emerging agent runtimes, and production AI workflow patterns.
Filed under Agent Frameworks. Status: Published
- Stars
- 203
- Forks
- 31
- Open issues
- 24
- Last commit
- 13d ago
- Stats refreshed
- Refreshed May 19, 2026
On the maker
Use cases
Multi-Agent, Production-Grade, Tool Use / Function Calling.
- Multi-AgentTools that coordinate two or more agents, support delegation, or implement agent-as-tool patterns.
- Production-GradeTools proven in production at scale — not prototypes or research previews.
- Tool Use / Function CallingTools that support OpenAI-style function calling, MCP tool use, or structured tool dispatch.
Pricing
Not yet curated
Field notes
No field notes yet.
Field notes for agent-systems-handbook will land here when sources support a confident take ; synthesized from postmortems, vendor retros, dev-team blogs, deeply-engaged GitHub issues, and our own builds.
Coverage isn’t promised on every tool ; empty sections are honest. Field notes are curated, not generated from vendor copy.
Benchmarks
Scores aren’t in yet.
We’re wiring up SWE-bench, Aider Polyglot, and a custom dev-task suite next. Methodology will be public; vendor pre-notification is 48 hours.
View benchmarksHow we make money
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