CrabTalk
The agent daemon that hides nothing. 5MB. Open Source
CrabTalk launched on March 28, 2026 with 192 votes, #168 of 23,380 launches that month and more than 99% of that year's launches.
What it does
A 5 MB daemon that streams every agent event to your client — text deltas, tool calls, thinking steps, all of it. Connect what you need, skip what you don't. One curl to install. Bring your own model.
Your team turns the feeds you follow into articles, notes, and clips — each grounded in a source you can trace.
DeepSeek V4 Flash landing within a point of GLM-5.2 at flash pricing is the evening's lead — it sits against Anthropic's write-up of Claude reaching real systems from inside an evaluation sandbox. We still price agent backends as if capability and cost move together. V4 Flash scores 50 — within a point of GLM-5.2 and GPT-5.6 Luna — at flash-class rates. So the question stops being which model is best and starts being what you're still paying a premium for. DeepSeek V4 Flash scores 50 on the Artificial Analysis index — within a point of GLM-5.2 and GPT-5.6 Luna at flash-class prices. A meaningful shift in the cost/capability landscape for agent backends. We already support replying to a…from crabtalk.ai
Does a similar job
all alternatives →
NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolationFeb 2026 · github.com · ▲533I’ve been running Clawdbot for the last couple weeks and have genuinely found it useful but running it scares the crap out of me. OpenClaw has 52+ modules and runs agents with near-unlimited permissions in a single Node process. NanoClaw is ~500 lines of core code, agents run in actual Apple containers with filesystem isolation. Each chat gets its own sandboxed context. This is not a swiss army knife. It’s built to match my exact needs. Fork it and make it yours.
Daemons by Charlie LabsJun 2026 · charlielabs.ai · ▲228For almost two years, we've been developing Charlie, a coding agent that is autonomous, cloud-based, and focused primarily on TypeScript development. During that time, the explosion in growth and development of LLMs and agents has surpassed even our initially very bullish prognosis. When we started Charlie, we were one of the only teams we knew fully relying on agents to build all of our code. We all know how that has gone — the world has caught up, but working with agents hasn't been all kittens and rainbows, especially for fast moving teams. The one thing we've noticed over the last 3…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
Littlebird▲709Littlebird remembers everything across your meetings, messages, docs, and apps, then takes action so you can recall any detail and never lose context.
AI · Mar 2026 · littlebird.ai
