ctx|

Ctx| is the open source context layer for AI agents. Blending memory, self-learning knowledge, and swift retrieval tech for the agentic scaling era.

[ctx| @ctxpipe]

AI context specificity compounds on quality and performance. General context layers serve a purpose - but if you are optimising for AI engineering outcomes alone, and not 'ease of company ops/procurement' - bet on us.

https://t.co/uD6ocKjFC3

[Tom @Tom_MkV]

Check us out here: https://t.co/kb5eSjq8pn

#ai #agent #engineering #context #memory

[ctx| @ctxpipe]

We're working on making AI agent context simple.

Start with what you have and let the system, agents, and harness improve it; so you can get on with building.

Remote knowledge system + local memory harness that work hand in hand.

We wrote about it here: https://t.co/JIKO22ru54

[Tom @Tom_MkV]

The ctx| repo is up: https://t.co/kb5eSjq8pn

Open source self-learning context layer for agents.

We're working on the managed version now, so if you're after a simple platform to manage your engineering org context, DM me!

#ai #agents #context

[ctx| @ctxpipe]

Co-founder @jakubriedl is at the AI Engineer conference in Melbourne tomorrow, speaking about AGENTS.md being the wrong conversation.

We wrote about it here:

https://t.co/JIKO22ru54

#aiengineering #agents #ai #context

[Tom @Tom_MkV]

The personal memory solution is getting solved in realtime. The org-wide one is a different beast...

Scattered knowledge, no shared learning, different agents and integrations.

This is the problem to solve for us at https://t.co/aZQtGB1u2W

[Tom @Tom_MkV]

Big week ahead: the group demo for Ctx| now has 15 CTOs signed up... so much to build before we show it off.. and so little time.

Waitlist at 35 - all companies - all solving the context ceiling issue for agents differently.

A system is needed: https://t.co/aZQtGB1u2W

[Tom @Tom_MkV]

This is why https://t.co/UsMXXY8MWS focuses on the software engineering ontology. The need is there to solve the gap between institutional knowledge and AI agents to reduce babysitting and increase effective agent run time

#ai #agents #engineering #opensource #context #agentharness

[ctx| @ctxpipe]

#ai #agents #context #engineering #opensource

[ctx| @ctxpipe]

A system is needed. An open-source self-learning context system using the right blend of technologies (knowledge graphs, RAG, vector DBs, search). This is our mission.

https://t.co/5V4jsv2qqq

[Addy Osmani @addyosmani]

Tip: Be careful with /init. A good mental model is to treat AGENTS(.md) as a living list of codebase smells you haven't fixed yet rather than a permanent configuration.

Auto-generated AGENTS(.md) files hurt agent performance and inflate costs because they duplicate what agents can already discover. Human-written files help only when they contain non-discoverable information - tooling gotchas, non-obvidous conventions, landmines. Every other line is noise.

Beyond what to put in it, there's a structural problem worth naming: a single AGENTS(.md) at the root of your repo isn't sufficient for any codebase of real complexity.

What you actually need is a hierarchy of AGENTS(.md) files - placed at the relevant directory or module level - automatically maintained so that each agent gets context scoped precisely to the code it's working in, rather than a monolithic file that conflates concerns across the entire project.

[ctx| @ctxpipe]

#ai #agents #engineering #context

[ctx| @ctxpipe]

OpenAI's sunset review on their agent harness efforts was an awesome read. So much detail into the bleeding edge of agent governance within a single repo.

We've written about it and how that relates to multi-repo structures requiring the same rigour: https://t.co/UuWFO5l56h

[ctx| @ctxpipe]

A bittersweet post, as it marks the transition from https://t.co/OB0c3JVTch to https://t.co/OCUvt6HwQw.

2 years spent radically simplifying APIs for engineers who wanted immediate context where the work was happening: IDEs and their agents.

https://t.co/esBVKQpTbW

[ctx| @ctxpipe]

Fuelled by cheap caffeine and game soundtracks from the 90s. Let's go!

[Tom @Tom_MkV]

Getting organised with https://t.co/aZQtGB1u2W - full steam ahead! Keen to learn about how we're solving context for the scaling agent era? Give us a follow: @ctxpipe

#agents #scaling #ai #era #engineering #opensource

[ctx| @ctxpipe]

2026 is the era of scaling agents. The engineering community need an intelligent and reliable context-tech foundation to build consistently useful fleets of agents on top of.

Our aim is to be synonymous with essential scaling agent infrastructure.

https://t.co/5V4jsv2qqq