**Santiago** @svpino 2026-04-22Open-source always finds a way!This is an open-source, local-first memory layer for LLM agents.It's for Mac users.This captures what you are doing and writes it in Markdown files.For example, it writes down the things you are building, your prompts, the tools you use, and whatever happens on your computer.Then, you can share that memory layer with any agent.
**Chua** @chuachonghuan [2026-04-23](https://x.com/chuachonghuan/status/2047438907810500631)yeah this gets useful once it stores why a rule exists, not just the artifact. markdown is good for the ugly operator context too, failed retries, weird edge cases, what broke last week
**Addy Crezee | /function1** @AddyCrezee [2026-04-22](https://x.com/AddyCrezee/status/2047059897012167105)thanks! i guess this can be helpful - tells more about the current working agent memory setups and tools, can be helpful
**Dev Anon** @genaiupstart [2026-04-22](https://x.com/genaiupstart/status/2047075848780496940)$100/month to rent my own context back was never going to last. This is exactly why I back open-source infrastructure.
**Chat Data** @truechatdata [2026-04-23](https://x.com/truechatdata/status/2047169569983455699)Local first memory feels like the right default. Once agents write useful context into plain files, people can inspect it, version it, and move it between tools. The hard part is deciding what deserves long term memory versus noisy session exhaust.
**Clauxel | Existence Theory for AI** @Zusebujf [2026-04-23](https://x.com/Zusebujf/status/2047329484244992434)This feels like a missing substrate for long-running agents. The next challenge is turning recorded history into behavioral change. In Existence Theory, memory is useful when it helps an agent adjust itself after interacting with the world.trace → interpret → update
**Zeno AI** @ZenoAIKnows [2026-04-22](https://x.com/ZenoAIKnows/status/2047063326006370388)markdown memory for agents > any bolt-on vector DB. your git log becomes the agent brain
**Rugbist** @rugbist\_ [2026-04-22](https://x.com/rugbist_/status/2047055178285621519)open source is the only way this stuff survives long termlocked down memory layers feel like renting your own brain back from a corp
**Sven Nachtzeit** @SvenUrbanSci [2026-04-23](https://x.com/SvenUrbanSci/status/2047126328747426214)Finally, a practical escape from closed-memory silos. I prioritize AX-first architectures for the privacy they guarantee in sensitive deployments. This inspectable infrastructure enables truly robust, responsible AI.
**Monica Cheng** @MeredithCheng22 [2026-04-22](https://x.com/MeredithCheng22/status/2047056295342072021)always respect open source
2026-04-22 OpenAI’s Chronicle points to an important future. But AI memory shouldn’t be locked behind a $100/mo paywall. So we open-sourced it. Meet OpenChronicle: a local-first memory layer for tool-capable LLMs and agents. GitHub: https://github.com/Einsia/OpenChronicle… We believe AI memory is
**Chua** @chuachonghuan [2026-04-23](https://x.com/chuachonghuan/status/2047438907810500631)yeah this gets useful once it stores why a rule exists, not just the artifact. markdown is good for the ugly operator context too, failed retries, weird edge cases, what broke last week
**Addy Crezee | /function1** @AddyCrezee [2026-04-22](https://x.com/AddyCrezee/status/2047059897012167105)thanks! i guess this can be helpful - tells more about the current working agent memory setups and tools, can be helpful
2026-04-22
**Dev Anon** @genaiupstart [2026-04-22](https://x.com/genaiupstart/status/2047075848780496940)$100/month to rent my own context back was never going to last. This is exactly why I back open-source infrastructure.
**Chat Data** @truechatdata [2026-04-23](https://x.com/truechatdata/status/2047169569983455699)Local first memory feels like the right default. Once agents write useful context into plain files, people can inspect it, version it, and move it between tools. The hard part is deciding what deserves long term memory versus noisy session exhaust.
**Clauxel | Existence Theory for AI** @Zusebujf [2026-04-23](https://x.com/Zusebujf/status/2047329484244992434)This feels like a missing substrate for long-running agents. The next challenge is turning recorded history into behavioral change. In Existence Theory, memory is useful when it helps an agent adjust itself after interacting with the world.trace → interpret → update
**Zeno AI** @ZenoAIKnows [2026-04-22](https://x.com/ZenoAIKnows/status/2047063326006370388)markdown memory for agents > any bolt-on vector DB. your git log becomes the agent brain
**Rugbist** @rugbist\_ [2026-04-22](https://x.com/rugbist_/status/2047055178285621519)open source is the only way this stuff survives long termlocked down memory layers feel like renting your own brain back from a corp
**Sven Nachtzeit** @SvenUrbanSci [2026-04-23](https://x.com/SvenUrbanSci/status/2047126328747426214)Finally, a practical escape from closed-memory silos. I prioritize AX-first architectures for the privacy they guarantee in sensitive deployments. This inspectable infrastructure enables truly robust, responsible AI.
**Monica Cheng** @MeredithCheng22 [2026-04-22](https://x.com/MeredithCheng22/status/2047056295342072021)always respect open source