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Nragent
Enterprise-level Agentic RAG agent - full-link coverage of document parsing, multi-channel retrieval, intent recognition, question rewriting, session memory, MCP tool invocation and in-depth thinking. Facing real business scenarios, complete engineering implementation from 0 to 1.
EEverOS
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Popularity
Repository stars4,41713,793Highest
7-day net stars——
Fork903962Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-252026-11-02
Maintenance notesNot verifiedNot verified
Repository created2025-11-202025-10-28
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation
TypeAgentsAgents
SubcategoryGeneralGeneral
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJavaPython
About this projectEnterprise-level Agentic RAG agent - full-link coverage of document parsing, multi-channel retrieval, intent recognition, question rewriting, session memory, MCP tool invocation and in-depth thinking. Facing real business scenarios, complete engineering implementation from 0 to 1.One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Measured at2026-11-03 09:37 UTC2026-11-03 08:27 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.