# X Research: "agent memory" "context" -is:retweet -is:reply

**Date:** 2026-05-09
**Tweets found:** 10
**Estimated cost:** ~$0.26

## Results

- **@ashwingop** (86L 10521I) [Tweet](https://x.com/ashwingop/status/2052408306116010040)
  > Claude just made the idea of agent memory real for the community, but I'm sorry without semantics or ontology, it’s again just a glorified knowledge base, nothing like a brain.
  >
  > Real brains (and Company Brain) use semantics + ontology for role/situation-specific context that
  Links: https://twitter.com/ashwingop/status/2052407955086254262

- **@origin_trail** (74L 2410I) [Tweet](https://x.com/origin_trail/status/2051642254750556503)
  > In April, the stage was set for big things in May:
  > * DKG v10 Release Candidate went live, bringing shared context graphs to life
  > * Round 1 of the DKG v10 Bounty Program opened
  > * AMA delivered clarity on verifiable multi-agent memory &amp; Conviction Staking
  >
  > Full recap👇
  Links: https://twitter.com/origin_trail/status/2051271184596050007

- **@GoSailGlobal** (69L 5718I) [Tweet](https://x.com/GoSailGlobal/status/2051942423895712149)
  > 你 Claude / Codex 一个月烧 $200+ token 的元凶不是模型贵，是没 memory。
  >
  > 每次新会话从 0 开始解释项目背景 → 70% token 烧在重复 context。
  >
  > 调研了一圈 agent memory 层，整理出 4 派系 18 个项目 — 跨会话记得住、跨 agent 共享、token 直降一半 🧵
  Links: https://x.com/GoSailGlobal/status/2051942423895712149/photo/1

- **@swarms_corp** (44L 3173I) [Tweet](https://x.com/swarms_corp/status/2051649264829276594)
  > Swarms v12 Release: Persistent Agent Memory, Auto Context Compression,  New Docs, and More
  >
  > Introducing Swarms v12, this update introduces significant updates to agent memory, reliability, and long-term autonomy.
  >
  > With persistent memory, context compression, and restart-safe
  Links: https://twitter.com/swarms_corp/status/2051647633542750684

- **@woisau1** (23L 205I) [Tweet](https://x.com/woisau1/status/2051272786765631967)
  > April was explosive for @origin_trail! DKG v10 is now live on testnet: shared context graphs, verifiable multi-agent memory &amp; real provenance at scale. From     healthcare to @umanitek Guardian, the infrastructure for trusted Agentic AI is here. $TRAC Trace ON!

- **@ItsRoboki** (18L 488I) [Tweet](https://x.com/ItsRoboki/status/2052297395082232007)
  > Your AI agent is not forgetting. It is remembering too much
  >
  > Every old rule you gave it still competes with the new one.
  >
  > Every stale preference becomes fake context
  >
  > Every half-correct workflow stays alive longer than it should
  >
  > This is why agent memory starts feeling "smart" at
  Links: https://x.com/ItsRoboki/status/2052297395082232007/photo/1, https://twitter.com/ParasVerma7454/status/2051604231736705309

- **@denizb471** (9L 232I) [Tweet](https://x.com/denizb471/status/2051746162701377999)
  > brain vs memory vs session framing from @garrytan's gbrain:
  >
  > - (g)brain: world knowledge (people, companies, meetings)
  > - agent memory: operational state (preferences, decisions, config)
  > - session context: what was just said
  >
  > useful frame whether you use gbrain or not

- **@ellen_in_sf** (7L 425I) [Tweet](https://x.com/ellen_in_sf/status/2052776060102775195)
  > We wrote more about why agent memory gets noisy over time, and how @mem0ai Memory Decay keeps recent context easier to surface without deleting the past.
  >
  > Read more 👇
  Links: https://twitter.com/mem0ai/status/2052770549307498535

- **@InfoQ** (7L 1604I) [Tweet](https://x.com/InfoQ/status/2051396217255407889)
  > Cloudflare announced Agent Memory (private beta) - a managed service that gives #AIagents persistent memory across sessions, context compactions, and restarts.
  >
  > It extracts structured memories from conversations and retrieves what’s relevant on demand.
  >
  > 🔗
  Links: https://bit.ly/3QM1fpO, https://x.com/InfoQ/status/2051396217255407889/photo/1

- **@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

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## Metadata
- Query: `"agent memory" "context" -is:retweet -is:reply`
- Queries:
  - `"agent memory" "context" -is:retweet -is:reply`
- Tweets scanned: 10
