ctx| @ctxpipe

Here's ours: #ai #context #engineering #agents

Tom @Tom_MkV

a week ago

An org using ctxpipe.ai - This shows a single engineering org's graph with their: - Linear issues - Pagerduty incidents - 15 repos and PRs from Github - Eng specific Slack captures All connected and easy for agents to reason over to help understand how they build

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We've made it easier to capture engineering context with new connectors: - Slack (intent based capture) - Notion - Linear Scope your tools and spaces to ensure continual ingestion of engineering-specific knowledge to automatically keeo your context up to date. #ai #context

As companies roll coding agents across real software platforms, agent inconsistency becomes an organisational problem. ctxpipe gives every agent the same governed understanding of how that organisation builds. #ai #context #engineering #agents

Tom @Tom_MkV

2 months ago

The graph must grow... Notion and Linear now supported - connect them to add more depth and breadth to what your agents understand about your engineering organisation. github.com/ctxpipe-ai/ctx… #ai #agent #context #engineering

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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. github.com/ctxpipe-ai/ctx…

Tom @Tom_MkV

4 months ago

Check us out here: github.com/ctxpipe-ai/ctx… #ai #agent #engineering #context #memory

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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: ctxpipe.ai/blog/agents-md…

The ctx| repo is up: github.com/ctxpipe-ai/ctx… 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

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: ctxpipe.ai/blog/agents-md… #aiengineering #agents #ai #context

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 ctxpipe.ai

Nav Toor @heynavtoor

6 months ago

Karpathy's LLM Wiki got 5,000 stars in 48 hours. Now someone extended it with the features it was missing. Memory lifecycle. Confidence scoring. Knowledge graphs. Automated hooks. Forgetting curves. It's called LLM Wiki v2. The original pattern was brilliant. AI builds a wiki

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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: ctxpipe.ai

This is why ctxpipe.ai 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

Garry Tan @garrytan

7 months ago

Software engineering accounts for nearly 50% of all AI agent tool calls. Healthcare, legal, finance, and a dozen other verticals are barely touched, each under 5%. That's a hundred AI unicorns waiting to be built. garryslist.org/posts/half-the…

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#ai #agents #context #engineering #opensource

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. ctxpipe.ai

Addy Osmani @addyosmani

7 months ago

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

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#ai #agents #engineering #context

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: ctxpipe.ai/blog/systemisi…

A bittersweet post, as it marks the transition from Appear.sh to Ctxpipe.ai. 2 years spent radically simplifying APIs for engineers who wanted immediate context where the work was happening: IDEs and their agents. ctxpipe.ai/blog/hello

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

Tom @Tom_MkV

7 months ago

Getting organised with ctxpipe.ai - 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

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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. ctxpipe.ai