cogencyai

4 ms·

1. 1.▲
   by cogencyai 1y ago

   Just shipped v0.4.1 — major simplification under the hood. Swapped the custom planner architecture for a leaner ReAct loop (reason → act → observe). It’s not new, but it works. Cleaner logic, better streaming, easier to debug. Less magic, m
2. 2.▲
   by cogencyai 1y ago

   Thanks for asking. I’ve done some initial benchmarking on memory footprint and response latency under concurrent load, showing stable behavior with low overhead. Nothing exhaustive yet, but results so far are promising. And agreed. It’s a c
3. 3.▲
   by cogencyai 1y ago

   100%. Scalability starts with discipline in architecture > feature bloat. I have been building Cogency with real workloads in mind. That means clear separation of concerns, minimal mental load, and predictable data flow. Keeping it clean
4. 4.▲
   by cogencyai 1y ago

   Thanks for the kind words. I actually stripped out most routing recently in favor of a lean, single-loop ReAct core. The last architecture was classic wheel reinvention. It still maintains the light abstractions and modular nodes wired toge
5. 5.▲
   by cogencyai 1y ago

   Most AI agent frameworks today are really just big event loops pretending to be distributed systems. True actors are isolated, stateful entities that communicate only via messages. Cogency’s design moves in that direction with modular nodes
6. 6.▲
   Show HN: Cogency – Cognitive Architecture for AI Agents(github.com)

   19 points by cogencyai 1y ago|9 comments
7. 7.▲
   by cogencyai 1y ago

   We need to start manufacturing more drones. An F22 raptor costs what $200m? Compared to a DJI drone outfitted with explosives, maybe $20k at most, thats a 4 orders of magnitude difference. 10,000 drones to one. More factories required.