Vectorize

Makers of Hindsight. Agent memory that lets your agents learn over time.

[Vectorize @Vectorizeio]

https://t.co/6hQaB6HwZQ

[Vectorize @Vectorizeio]

Your Agent Is Not Forgetful. It Was Never Given a Memory.

People often describe AI agents as forgetful. That is not quite right. Most agents were never designed to remember in the first place. Each session starts over. Each new conversation arrives with no durable knowledge of what happened before, what the user prefers, what decisions have already been made, or what context should carry forward.

That is fine for one-off prompts. It becomes a real problem as soon as you expect an agent to behave like a persistent collaborator.

Know more: https://t.co/Uv91rtNqa1

[Vectorize @Vectorizeio]

https://t.co/E6Ndg0MnrM

[Vectorize @Vectorizeio]

Pipecat Voice AI Persistent Memory: Add Memory to Your Voice Pipeline.

If you build voice AI pipelines with Pipecat, you know it handles real-time speech processing, LLM integration, and streaming synthesis beautifully. But there's one critical thing it doesn't do: remember anything between calls. Every voice conversation starts fresh. Your voice agent has no idea what the user said in yesterday's call, what their preferences are, or what it already researched.

Adding Pipecat persistent memory doesn't require building a custom RAG system or managing separate vector databases. With the hindsight-pipecat integration, you can wire long-term memory into any voice pipeline with a single FrameProcessor that recalls context before responding and retains conversation content after each turn.

Know more: https://t.co/LYlhNRIUD9

[Vectorize @Vectorizeio]

https://t.co/uMY5Ca81GZ

[Vectorize @Vectorizeio]

https://t.co/5FKqplRMN0

[Vectorize @Vectorizeio]

https://t.co/23Fww6wtet

[Vectorize @Vectorizeio]

Cool new personal assistant built using Hindsight for memory. Looks good, @dbenyamin

[Dan Benyamin (Æ) @dbenyamin]

🤫 I’ve been quiet lately as I’ve been working on something in stealth! The latest incarnation of what started as Project Aeon now has a proper name and website: https://t.co/I8nwTQGRlJ

Like many folks here, I got super deep into building a personal AI agent, but noticed a ton of issues in getting it going for the average person.

So I set out to solve the problems I encountered doing it myself and created a platform that is truly unique: Joshu (meaning assistant in Japanese) is a personalized, always-on AI designed specifically for you. You get a Joshu (mine is named Patrick), and it is exclusively yours. It resides in a cloud sandbox dedicated to you, complete with its own email address and phone number, and like an assistant you would hire, it even has its own computer.

Joshu’s computer features (the only?) AI-native OS and web GUI, meaning nothing needs to run on your personal device. You can close that laptop! The Joshu OS includes all the common office apps that both you and Joshu can interact with, along with a cloud-based web browser that your Joshu can control, but you can also use and log into if needed.

- Need to access something online? Joshu has a browser.
- Need a reminder? Joshu can call you.
- Trying to remember a conversation? Joshu has a sophisticated memory system that never forgets.

There is much more to discuss, but for now, I am looking for beta testers! I am working closely with small business owners, consultants, and anyone who is busy to develop their own Joshu. Who wants a Joshu? What do you need help with?

Big shout out to some of the folks making the some of technology under the hood: @NousResearch and @Teknium for Hermes, @Vectorizeio Hindsight memory, @garrytan GBrain!

[Nicolò Boschi @nicoloboschi]

nice tips on Hermes, great to see hindsight used - we're fixing the small issues mentioned in this article!

[Vectorize @Vectorizeio]

Lesson after 60 days on using Hermes as a personal assistant:

"The combination of having rich native memory + external memory provider [Hindsight] result in highly relevant outputs that keep me up-to-date on the market."

https://t.co/2E1UPIHAyx

[0xJeff @0xJeff]

https://t.co/b95mq0VjYT

[Vectorize @Vectorizeio]

Your Claude Code Subagents Don't Share What They Learn.

Claude Code's subagent system is one of the best things to ship in the harness layer this year. You can delegate work to specialized agents — Plan to think through a strategy, Explore to crawl the codebase, general-purpose to handle a multi-step task, or any custom subagent you define under .claude/agents/. Each one runs in its own context, with its own system prompt and tools, and reports back when it's done.

It's a clean delegation model. By default, it's also amnesiac in a specific way: every subagent invocation starts fresh, and even when you opt into the persistence features Claude Code does ship, knowledge stays siloed inside each subagent.

Know more: https://t.co/wIMdubRpr3

[Vectorize @Vectorizeio]

@sekizaltmis_ @PedjaDrazic @Teknium You have the same issue when using Hindsight?

[Vectorize @Vectorizeio]

https://t.co/HfK8wUMgSx

[Vectorize @Vectorizeio]

Plugging into the worlds best agent memory has never been easier in @NousResearch's Hermes Agent:

hermes memory setup

[Vectorize @Vectorizeio]

https://t.co/nntn0p9SjG

[Vectorize @Vectorizeio]

The Open-Source MCP Memory Server Your AI Agent Is Missing.

AI agents forget everything between sessions. Hindsight gives them persistent, structured memory via MCP. One Docker, Inc command to run the full stack locally. Connect any MCP-compatible client. Three core operations: retain (store), recall (search), reflect (reason) — plus mental models that auto-update as memories grow.

Know more: https://t.co/oUTJOkEqS2

[Vectorize @Vectorizeio]

https://t.co/zXAPwyQuBx

[Vectorize @Vectorizeio]

Read more here: https://t.co/dqcsWnIn0k

[Vectorize @Vectorizeio]

Hindsight 0.7.0! New features:

[Nicolò Boschi @nicoloboschi]

today we shipped Hindsight 0.7.0

it drops used DB storage by 50% without any functional change

software is so fun

[Nicolò Boschi @nicoloboschi]

https://t.co/MtPpELSS7J

[Vectorize @Vectorizeio]

OpenClaude: Build a Claude Code Agent with Long-Term Memory — and Take It Everywhere.

Anthropic just launched Channels for Claude Code: Claude Code sessions connected to messaging platforms. This means Claude Code can now operate as a fully autonomous agent, reachable also from your phone, always running against your codebase (and not just it).

Claude Code has a built-in memory system based on markdown files (CLAUDE.md, auto-memory), and it works very well for static preferences and project instructions. But it wasn't designed for conversational memory — it doesn't extract facts from your discussions, doesn't recall relevant context by semantic similarity, and doesn't build up structured knowledge over time. Close the session, and some richness and depth of what you discussed is gone.

This guide fixes that. We'll set up Claude Code on Telegram Messenger and wire it to Hindsight for true long-term memory — automatic fact extraction, semantic recall, and a knowledge base that grows with every conversation. The result is a persistent AI (coding) assistant you can talk to from anywhere, that actually learns from your interactions.

Know more: https://t.co/SkMumKX81n

[Vectorize @Vectorizeio]

https://t.co/ovGqiVzUhf