Agent Memory Systems
by AaaS · open-source · Last verified 2026-03-17
Teaches design and implementation of multi-tier agent memory architectures — in-context working memory, episodic memory via vector stores, and semantic memory via knowledge graphs — enabling agents to maintain coherent state across long-running tasks and sessions. Covers retrieval-augmented memory, memory consolidation, and forgetting strategies.
https://aaas.blog/skill/agent-memory-systems ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- episodic-memory, semantic-memory, working-memory-management, memory-retrieval, memory-consolidation
- Integrations
- mem0, langgraph, pinecone, neo4j
- Use Cases
- long-running-research, personalized-assistants, multi-session-agents, knowledge-accumulation
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- memory-management, semantic-search
- Supported Agents
- claude-code, devin
- Tags
- memory, long-term, episodic, semantic-memory, agent
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
59Adoption
68
Quality
84
Freshness
88
Citations
60
Engagement
0