
Kage
A framework for collaborative agent memory
What it does
Kage is git-native, verified memory for your coding agents. Capture a learning once and the whole team plus every agent recalls it next time it's relevant — grounded in your real code, stored as git-tracked JSON reviewed in PRs. Hallucinated citations are rejected on write; stale memory is withheld on recall. No account, no cloud. Try it: npx -y @kage-core/kage-graph-mcp install — or book a 30-min demo on your repo at kage-core.com/demo
Does the same job
all alternatives →- KSKage – Shadow any website to a single binary for offline viewingJun 2026 · github.com · ▲712

- AKA Karpathy-style LLM wiki your agents maintain (Markdown and Git)Apr 2026 · github.com · ▲260
I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…



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Dev tools · 2d ago · opentrailpaper.com

Open-source GTM skills for technical founders
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Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com