Hacker News

Article URL: https://github.com/RyanGibb/apt-graph-colouring

Comments URL: https://news.ycombinator.com/item?id=47217276

Points: 1

# Comments: 0

Article URL: https://www.nature.com/articles/s44458-025-00022-6

Comments URL: https://news.ycombinator.com/item?id=47217246

Points: 3

# Comments: 0

Hi HN,

I built AgentKeeper to solve a fundamental problem with AI agents: memory persistence.

Today, agents lose memory when:

• switching providers • restarting • crashing

AgentKeeper introduces a cognitive persistence layer that stores facts independently of any LLM provider and reconstructs context dynamically.

It works across:

• OpenAI • Anthropic • Gemini • Ollama

Memory survives provider switches and restarts.

GitHub: https://github.com/Thinklanceai/agentkeeper

I'm curious if others have faced the same problem and how you're handling memory persistence today.

Comments URL: https://news.ycombinator.com/item?id=47217244

Points: 1

# Comments: 0

Article URL: https://defcon.social/@thedarktangent/116157827849844661

Comments URL: https://news.ycombinator.com/item?id=47217240

Points: 2

# Comments: 1

Article URL: https://github.com/ripplemessenger/RippleMessengerClient

Comments URL: https://news.ycombinator.com/item?id=47217233

Points: 1

# Comments: 0

Article URL: https://github.com/narwhal-io/narwhal/releases/tag/narwhal-0.5.0

Comments URL: https://news.ycombinator.com/item?id=47216874

Points: 1

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=47216869

Points: 1

# Comments: 0

Article URL: https://github.com/zaddy6/agent-email

Comments URL: https://news.ycombinator.com/item?id=47216856

Points: 1

# Comments: 0

Article URL: https://github.com/psychosomat/limpio-exchange-orchestrator

Comments URL: https://news.ycombinator.com/item?id=47216850

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/2026/03/02/iran_internet_blackout/

Comments URL: https://news.ycombinator.com/item?id=47216834

Points: 1

# Comments: 0

Article URL: https://arstechnica.com/gadgets/2026/03/amd-ryzen-ai-400-cpus-will-bring-upgraded-graphics-to-socket-am5-desktops/

Comments URL: https://news.ycombinator.com/item?id=47216825

Points: 2

# Comments: 0

Article URL: https://spectator.com/article/my-mission-to-avoid-breaking-the-official-secrets-act/

Comments URL: https://news.ycombinator.com/item?id=47216817

Points: 1

# Comments: 0

Claude chat is down for me right now. Won't let me submit any messages, auto logs me out. Are other people experiencing the same? 3:49am PST - 3/2/26

Comments URL: https://news.ycombinator.com/item?id=47216795

Points: 4

# Comments: 2

Article URL: https://www.beningo.com/rtedbg-open-source-data-logging-and-tracing-for-embedded-systems/

Comments URL: https://news.ycombinator.com/item?id=47216792

Points: 1

# Comments: 0

It has been happening every night (Australia Time) where Claude goes down at exactly 10:48pm Melbourne time, which is 23:47-00:00 UTC

Is it just me? Is anyone experiencing the same thing?

Comments URL: https://news.ycombinator.com/item?id=47216791

Points: 2

# Comments: 0

Article URL: https://blog.vtemian.com/post/mcp-is-great-for-tools-terrible-for-agents/

Comments URL: https://news.ycombinator.com/item?id=47216789

Points: 1

# Comments: 0

Hi HN,

I’ve been working on a browser-based tool for exploring and debugging Web Audio API graphs.

Web Audio Studio lets you write real Web Audio API code, run it, and see the runtime graph it produces as an interactive visual representation. Instead of mentally tracking connect() calls, you can inspect the actual structure of the graph, follow signal flow, and tweak parameters while the audio is playing.

It includes built-in visualizations for common node types — waveforms, filter responses, analyser time and frequency views, compressor transfer curves, waveshaper distortion, spatial positioning, delay timing, and more — so you can better understand what each part of the graph is doing. You can also insert an AnalyserNode between any two nodes to inspect the signal at that exact point in the chain.

There are around 20 templates (basic oscillator setups, FM/AM synthesis, convolution reverb, IIR filters, spatial audio, etc.), so you can start from working examples and modify them instead of building everything from scratch.

Everything runs fully locally in the browser — no signup, no backend.

The motivation came from working with non-trivial Web Audio graphs and finding it increasingly difficult to reason about structure and signal flow once things grow beyond simple examples. Most tutorials show small snippets, but real projects quickly become harder to inspect. I wanted something that stays close to the native Web Audio API while making the runtime graph visible and inspectable.

This is an early alpha and desktop-only for now.

I’d really appreciate feedback — especially from people who have used Web Audio API in production or built audio tools. You can leave comments here, or use the feedback button inside the app.

https://webaudio.studio

Comments URL: https://news.ycombinator.com/item?id=47216773

Points: 2

# Comments: 0

Article URL: https://vertexclique.com/blog/kovan-from-prod-to-mr/

Comments URL: https://news.ycombinator.com/item?id=47216766

Points: 1

# Comments: 0

Article URL: https://karanbansal.in/blog/claude-code-lsp/

Comments URL: https://news.ycombinator.com/item?id=47216765

Points: 1

# Comments: 0

I built this to solve a problem that kept annoying me: every time I start a new AI coding session, the agent has zero memory of what happened before. Decisions, discoveries, bug fixes - all gone. oc-mnemoria is an OpenCode plugin that gives all agents a shared persistent memory store - a "hive mind." The plan agent records a decision, the build agent sees it. The review agent flags a bug pattern, and next session the build agent knows about it. The storage engine is mnemoria, a Rust crate I also wrote. Some details on the architecture: - Append-only binary log with CRC32 checksum chains for integrity - Hybrid search: Tantivy BM25 + simsimd SIMD cosine similarity - ~95us search latency, ~9,900 writes/sec on commodity hardware - Single file format, git-friendly - rkyv zero-copy deserialization (no parsing overhead) The plugin side (TypeScript) handles: - Automatic intent capture from chat messages - System prompt injection with relevant memories at session start - Per-agent tagging so you know which agent recorded what - Selective forgetting and compaction for memory maintenance Everything runs 100% locally. No data leaves your machine. The memory store is a single binary file you can commit to git, back up, or delete to reset. I built this because I use OpenCode daily and got tired of re-explaining the same context every session. Happy to answer questions about the Rust internals, the plugin architecture, or the append-only storage design. GitHub: https://github.com/one-bit/oc-mnemoria Rust engine: https://github.com/one-bit/mnemoria npm: https://www.npmjs.com/package/oc-mnemoria crates.io: https://crates.io/crates/mnemoria

Comments URL: https://news.ycombinator.com/item?id=47216757

Points: 1

# Comments: 0