feat(ci): graph change detection in MR pipeline + recall agent enhancement#47
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m0Nst3r873 wants to merge 5 commits into
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feat(ci): graph change detection in MR pipeline + recall agent enhancement#47m0Nst3r873 wants to merge 5 commits into
m0Nst3r873 wants to merge 5 commits into
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Replace AI-generated docs/team-codebase/ with structured teamwiki/ knowledge graph. Vendor team-wiki's code-knowledge + core packages (by @lurkacai) as the deterministic extraction engine. New capabilities: - `teamai codebase --extract`: code fact extraction (TS/Python/Go/Rust/Java/TOML/SQL) - `teamai recall`: BM25 + graph-boost codebase retrieval - `teamai codebase --lint`: graph health check - `teamai codebase --upgrade-wiki`: migration from old format - Module summaries with dependency direction and ranked components - Knowledge gaps detection (IMPL_MISSING, LOW_CONNECTIVITY, etc.) - Cross-repo edge detection via PascalCase label + config key matching - AI overview.md generation (non-blocking on timeout) - Pull protection: skip overwrite when local teamwiki/ is newer Architecture: - src/wiki-engine/: vendored core (graph schema, protocol) + code-knowledge (collector, extractors, graph builder, incremental detection) - src/wiki-engine/adapters/: teamai-specific bridge + shared templates - teamwiki/ directory (non-hidden) with router.md, hot.md, index.md, evidence/, .indices/, gaps/, modules/
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Guide main agent to use a mid-tier model (not the default top-tier) when invoking recall subagent, balancing cost/latency with capability.
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Summary
MR Pipeline
Recall Agent
Test plan