feat: AGKC reverse engineering for agent codebases (v0.5.0) - #2
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Add AGKC scan/capture path to okf-agent-graph so brownfield projects using Claude/OpenAI APIs, LangChain, LangGraph, CrewAI, LlamaIndex, Claude Agent SDK, Deep Agents, MCP, AgentCore, and hardened microVM/containers can be reverse engineered into draft AGER OKF concepts — same pattern as SAC and DEKC.
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Summary
Adds AGKC (Agent Graph Knowledge Capture) — reverse engineering for multi-agent systems — as a first-class part of the
okf-agent-graphplugin (v0.5.0).Forward path today: define AGER graphs (
ager-init/ager-author/ager-validate/ager-compile).New reverse path (same pattern as system-architecture-capture and data-engineering-knowledge-capture):
ager-author+ validateWhat gets extracted
Plugin surface
scripts/ager_scan.py,scripts/ager_capture.py,scripts/ager_reverse_engineer.py(stdlib only)ager-scan,ager-reverse-engineer(/…and$…)agent-graph-re-orchestratordocs/REVERSE_ENGINEERING.md(+ README / user guide / AGER_SPEC updates)tests/fixtures/agent-repo/*,tests/test_ager_scan.pyUsage
Or
/ager-scan→/ager-reverse-engineerin Claude/Grok;$ager-scan/$ager-reverse-engineerin Codex.Test plan
python3 -m unittest tests/test_ager_scan.py tests/test_plugin.py tests/test_ager.py -v(18 tests, 1 skip without okf-plugin)Referenceplaceholders) vs promoting stricter AGER types on capture