memodb-io/Acontext
Acontext
Agent Skills as a Memory Layer
Builder
memodb-io
memodb-io • individual
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3,263
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Forks
306
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0
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0/100
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Created
Jul 16, 2025
Project creation date
README Summary
Acontext provides a memory layer system for AI agents to store and retrieve skills, experiences, and contextual information. It enables agents to build persistent memory capabilities that can be shared across different interactions and sessions. The system acts as a foundational layer for creating more intelligent and context-aware AI agents.
AI Dev Skills
Unmapped
Agent Memory SystemsPersistent Context ManagementSkill-based AI ArchitectureAgent State ManagementMemory-Augmented AI Systems
Tags
Agent Memory SystemsPersistent Context ManagementSkill-based AI ArchitectureAgent State ManagementMemory-Augmented AI SystemsStateful AI AgentsCustomer ServiceAgent Skill OrchestrationDeveloper ToolsKnowledge ManagementMulti-Turn Conversation MemoryPersistent Agent MemoryCompound AI SystemsOn-premiseMulti-Agent ArchitecturesEnterprise AIAgent Skills ManagementContextual Information StorageCross-Session Context RetentionContextual Information RetrievalTextStructured DataSelf-hostedMemory-Augmented SystemsKnowledge Graph ManagementAgentic AICloud APIConversational AI Context ManagementTypeScript
Taxonomy
Deployment Context
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Recent Activity
Updated 1 months ago
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Quality
prototype- Quality
- medium
- Maturity
- prototype
Categories
RoboticsPrimaryAI AgentsDev Tools & AutomationRAG & RetrievalEvals & BenchmarkingML Platform & InfrastructureEdge & Mobile AISearch & KnowledgeOther AI / ML
PM Skills
Developer Platform
Languages
TypeScript100.0%
Timeline
- Project created
- Jul 16, 2025
- Forked
- Mar 12, 2026
- Your last push
- 1 months ago
- Upstream last push
- 12 days ago
- Tracked since
- Mar 12, 2026
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