feat(memory): OCG-backed agent memory with auto-summarized save + hum…#298
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NicholasDCole wants to merge 1 commit into
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feat(memory): OCG-backed agent memory with auto-summarized save + hum…#298NicholasDCole wants to merge 1 commit into
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…an feedback links Add OCGMemoryStore (a synchronous MemoryStore HTTP adapter over the OCG BFF) and wire long-term memory into the agent runtime: - Pre-run: relevant agent/user-scoped memories are retrieved and injected into a copy of the agent's instructions (never mutating the shared agent). - Post-run: the conversation is distilled by an internal summarizer sub-agent (structured MemorySummary output; reuses the agent's model unless memory_summary_model is set) and saved as a 'conversation:<session>' memory. Best-effort and recursion-guarded - never fails the primary run. - Feedback is human-only: the runtime hands a FeedbackEvent (distilled summary + signed good/bad capability URLs) to the agent's feedback_sink for out-of-band delivery (e.g. a Zendesk ticket). The URLs are never shown to the agent's LLM, so agents can only create and read memories. Adds Agent params semantic_memory/memory_summary_model/feedback_sink, the OCGMemoryStore.feedback_links() mint call, example 118, and unit tests. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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…an feedback links
Add OCGMemoryStore (a synchronous MemoryStore HTTP adapter over the OCG BFF) and wire long-term memory into the agent runtime:
Adds Agent params semantic_memory/memory_summary_model/feedback_sink, the OCGMemoryStore.feedback_links() mint call, example 118, and unit tests.