Knowledge & Memory · Index

AI Memory and Context Management

pages: 8 created 2026-05-09 by Julius (GOV) and Octavius (K&E), plus 2026-05-23 bookmark-derived memory trust contract.* This section covers the landscape of AI memory systems, context window management, and long-term memory architectures for AI agents as of 2026. Total files: 9 articles Julius: 2 articles (vector memory systems, context window management) Octavius: 6 articles (Reddit sentiment, YouTube landscape, ep…

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wiki/wiki/concepts/ai-memory-and-context-management-index.md

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Source Excerpt

*9 pages: 8 created 2026-05-09 by Julius (GOV) and Octavius (K&E), plus 2026-05-23 bookmark-derived memory trust contract.*

This section covers the landscape of AI memory systems, context window management, and long-term memory architectures for AI agents as of 2026.

Articles

Page	Author	Focus	Key Takeaway
Agent Memory Trust Contract: Remember, Cite, Forget	Julius	Governance	Memory must carry layer, provenance, and expiry before it can influence decisions
concepts/vector-memory-systems-for-ai-agents	Julius	Infrastructure	Qdrant and Weaviate lead for agent workloads; Chroma for prototyping; pgvector for Postgres shops
concepts/context-window-management-and-compression	Julius	Techniques	Anchored iterative summarization > full reconstruction; ACON reduces tokens 26-54% with 95%+ accuracy
concepts/ai-memory-reddit-sentiment	Octavius	Community	Mem0 most discussed; hybrid vector+graph preferred; context window anxiety is the #1 pain point
concepts/ai-memory-youtube-landscape	Octavius	Community	Factory Missions shows production multi-day execution; Letta and Mem0 most demoed
concepts/episodic-memory-for-ai-agents	Octavius	Architecture	MAGMA leads LoCoMo benchmark (0.7); bitemporal graphs enable precise temporal reasoning
concepts/semantic-memory-for-ai-agents	Octavius	Architecture	Mem0 graph layer + Zep/Graphiti temporal graphs are production leaders; conflict detection is the unsolved problem
concepts/Multi-Agent Orchestration-memory-coordination	Octavius	Patterns	Centralized KB vs distributed sync; retired internal project L0-L3 as hierarchical model
concepts/task-execution-frameworks-with-memory	Octavius	Frameworks	Factory Missions: milestone decomposition with clean worker contexts; Letta: virtual memory model

Sprint Summary

Total files: 9 articles
Julius: 2 articles (vector memory systems, context window management)
Octavius: 6 articles (Reddit sentiment, YouTube landscape, episodic memory, semantic memory, Multi-Agent Orchestration coordination, task execution frameworks)
Research sources: YouTube (Factory, Karpathy, Mem0 demos), Reddit (r/LocalLLaMA, r/ArtificialIntelligence, r/MachineLearning), Google (vendor landscapes, benchmarks, academic papers)
Key finding: The industry is converging on hybrid vector+graph stores for semantic memory, with episodic memory handled through temporal event logs. Context compression is shifting from simple summarization to failure-driven optimization (ACON) and inference-layer pruning (SideQuest).

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Outbound links

AI Agentscorpus
Agent Memory Trust Contract: Remember, Cite, Forgetcorpus
Episodic Memory for AI Agentscorpus
Julius (redirect)corpus
Multi-Agent Memory Coordination Patternscorpus
Semantic Memory for AI Agentscorpus
Vector Memory Systems for AI Agentscorpus

Referenced by

Agent Memory Trust Contract: Remember, Cite, Forgetbacklink