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title: "Awesome AI Agents 2026"
task: ""
lineage_type: import
upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/4387b454/README.md
upstream_sha: 4387b454
imported_at: 2026-08-13
upstream_source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026/blob/7c52cee2/README.md
upstream_sha: 7c52cee2
imported_at: 2026-08-14
prompt_class: catalogue
upstream_changes: accepted
author: upstream
@@ -152,6 +152,7 @@ validated: false
- [Kage](https://github.com/kage-core/Kage) `🌱` `[TypeScript]` `[MCP]` - Git-native memory for coding agents that stores decisions and fixes as repo files and verifies them against the codebase, withholding stale knowledge.
- [LanceDB](https://github.com/lancedb/lancedb) `🌱` `[Rust]` `[Vector DB]` - Serverless vector search database embedded directly in the agent process with no infrastructure needed.
- [Langmem](https://github.com/langchain-ai/langmem) `🌱` `[Python]` `[LangChain]` - Helps agents learn and adapt from their interactions over time with persistent memory.
- [Lians](https://github.com/Lians-ai/Lians) `πŸ”¬` `[Python]` `[MCP]` - Gives any AI agent local-first memory with corrections, point-in-time recall, and inspectable history.
- [Mem0](https://github.com/mem0ai/mem0) `🌱` `[Python]` `[Vector DB]` - Memory layer for AI applications with long-term, short-term, and semantic memory extraction.
- [Remio](https://www.remio.ai/) `πŸ”¬` `[Desktop]` `[Memory]` - Local-first AI memory desktop app that parses files into searchable vector indexes.
- [Memoir](https://github.com/zhangfengcdt/memoir) `πŸ”¬` `[Python]` `[Memory]` - Git-like versioned semantic memory for AI agents with branching and commits.