# X Research: "AI memory" agents context -is:retweet -is:reply

**Date:** 2026-05-09
**Tweets found:** 9
**Estimated cost:** ~$0.04

## Results

- **@Base_Insights** (96L 6482I) [Tweet](https://x.com/Base_Insights/status/2051893470286225902)
  > Top AI on @base Projects This Week
  >
  > ■ $ODAI @odei_ai - persistent AI memory through a world model, so agents keep context, preferences, and relationships over time.
  >
  > ■ $ClawBank @ClawBankHQ - legal and banking rails for agents, including company formation, accounts, and
  Links: https://x.com/Base_Insights/status/2051893470286225902/photo/1

- **@ema_lovsin** (41L 583I) [Tweet](https://x.com/ema_lovsin/status/2052374641646227529)
  > Real-time signals becoming verifiable AI memory is a game changer.
  >
  > World Monitor + @origin_trail DKG v10 → AI agents can reason over trusted live context and act on it.
  >
  > From supply chains to geopolitics, this is the future of shared intelligence.
  Links: https://twitter.com/DrevZiga/status/2052373525999018192

- **@woisau1** (8L 65I) [Tweet](https://x.com/woisau1/status/2052639294414631183)
  > @origin_trail DKG v10 is here and it changes everything.
  > Real-time signals from the world become verifiable, shared AI memory.  No more hallucinations — agents can finally reason with trusted context.
  > This is the infrastructure layer AI has been waiting for. 🔥 $TRAC

- **@woisau1** (3L 41I) [Tweet](https://x.com/woisau1/status/2052242075156979865)
  > @liarjo AgentCore Memory for context-aware agents is a nice managed service. The thread "From AI Memory Silos to Multi-Agent Memory" explores the   decentralized verifiable extension. What’s your view?
  Links: https://x.com/BranaRakic/status/2032877330209595723

- **@woisau1** (2L 48I) [Tweet](https://x.com/woisau1/status/2051524685850931451)
  > @newlinedotco Persistent memory layer + enough real-world context is key for agents – totally on point. The thread "From AI Memory Silos to Multi-Agent Memory"   explores this further.What do you think?
  Links: https://x.com/BranaRakic/status/2032877330209595723

- **@woisau1** (1L 38I) [Tweet](https://x.com/woisau1/status/2052075873843511334)
  > @MindTheGapMTG Event-sourced rolling context files for agents in production – practical! This aligns with   "From AI Memory Silos to Multi-Agent Memory". Would love your take!
  Links: https://x.com/BranaRakic/status/2032877330209595723

- **@TechNode_HQ** (0L 28I) [Tweet](https://x.com/TechNode_HQ/status/2052061075642990857)
  > Anthropic just introduced "Dreaming" for Claude Managed Agents—a game-changer for AI memory.
  >
  > Instead of just forgetting old context, agents now perform scheduled "dreaming" to curate patterns and optimize long-term knowledge. The future of agentic orchestration is here. 🧠
  >
  > #AI
  Links: https://x.com/TechNode_HQ/status/2052061075642990857/photo/1

- **@Astfy_ai** (0L 15I) [Tweet](https://x.com/Astfy_ai/status/2052598634592731285)
  > MemoryVault is live! Universal AI memory layer that works with any LLM, featuring intelligent context compression and privacy-preserving memory sharing. Built with AI agents 🤖
  >
  >  #AIagent #indiehacker #launched
  Links: https://gohanv1.abacusai.app/b/memoryvault-mo3ipy2k

- **@UpshotFirm** (0L 14I) [Tweet](https://x.com/UpshotFirm/status/2051718870055190888)
  > 🧠 AI memory is the new edge
  >
  > 😑 Stateless AI agents waste tokens and lose context.
  >
  > 👉 Using external memory stores makes workflows persistent and intelligent.
  >
  > 🔗 Read the 2026 guide:
  >
  > #AI #AIAgent
  Links: https://www.make.com/en/blog/agent-workflow-memory, https://x.com/UpshotFirm/status/2051718870055190888/photo/1

---

## Metadata
- Query: `"AI memory" agents context -is:retweet -is:reply`
- Queries:
  - `"AI memory" agents context -is:retweet -is:reply`
- Tweets scanned: 9
