Developer Tools2 months ago
ContextIQ — AI Context Engineering Suite for AI Engineers
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
The full gallery
Tech stack
16 projects
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
Create a personal context file that AI tools read before responding.
@connorhpbrn · X
the garden for your context
A real-time AI voice coach that keeps you accountable during deep focus sessions. No distractions. No fluff. Just you, your work, and Neon.
@naveendinushka · X
Hey Anuj. I’m building
Define your company once; Claude, ChatGPT, Cursor, and other AI tools read and write the same team context.
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.
AI platform for building full-stack apps using up to 10 parallel specialized agents.
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents
Reqify captures meetings, project documents and stakeholder knowledge, identifies what is missing, and produces review-ready project deliverables grounded in…
@reqifyai · X
Share code, notes, scripts, and AI context via encrypted URLs.
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜
Transform questions into visual, branching knowledge maps that show the bigger picture.
u/LeonHelloWorld · Reddit
Build update: testing whether visual AI maps are actually clearer than chat This week I finished a public beta of BranchAI, a web app that turns a complex question into a visual tree instead of a single long AI conversation. The hypothesis is simple: people lose useful context once a chat has several follow-ups. Keeping those follow-ups visible as branches should make research and complicated topics easier to revisit. What is working now: - Generate a starting map from a question - Op
Build and deploy AI voice agents to handle customer calls using a no-code visual graph editor.
@mattcabral_ · X
looking for honest feedback from devs
Map software architecture, dependencies, and ownership to help teams and AI agents understand systems.
u/keiloktql · Reddit
i built a living architecture map after redrawing the same stack for every project heya, i'm a design engineer at 8starlabs. i just launched canopy. i kept redrawing architecture diagrams for hackathons, work, group projects, and side projects. they were useful at first, but quickly became outdated. canopy turns your stack into a living map. you can import a github repo, see services and dependencies, track costs and ownership, publish maps, and export context for ai coding tools. try i
Track your learning progress and project development as a developer.
@Dev_code_04 · X