Typescript Agent Framework | Coding Agent Join our community: https://xitter.cf/t.co/nr7Q9wCuD4

San Francisco, CA
Joined October 2026
NAH AI retweeted
For some reason sessions with @nahruntime stop at the 1 million token mark so I’m working on extending that
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nah’s memory isn’t RAG bolted on. Four tiers (L0 tensions → L1 hot → L2 recall → L3 archive) Recall is deterministic, meaning no model in the loop. The prompt keeps a light index, and full memory text only loads when you name something missing from the transcript.
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what makes your harness special?
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Replying to @reflection_ai
How could I make beam free/available for @nahruntime my coding agent??
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working on cloud agents for @nahruntime
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soon as I get @nahruntime cloud agents running it’s GGs
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so far openrouter/free has been the most reliable model instead of using one free model. I hit limits less with the agent
We want to make coding agents more accessible and free so give us a try and tell us how we can improve
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best way to get started is with the openrouter/free model or your existing subscriptions npm i-g nah-ai
We want to make coding agents more accessible and free so give us a try and tell us how we can improve
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Next update focuses more on the orchestrator and user experience with workflows
beta.5 is out and we introduced several new things - orchestrator - workflows (/workflow) - sub-agents - nah-studio (/studio) - better tooling for local and cloud memory (/cogmem) npm i nah-ai
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made a workflow with @nahruntime that updates the doc site for @nahruntime based on recent changes and new features 🚀
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currently working on letting any agent send traces to our studio
Dropped nah-studio and it runs locally npx nah-studio Not all nah sessions send data to studio until you opt-in using /studio. M It Keeps track of telemetry for your agents and your able to create new ones from there npmjs.com/package/nah-studio…
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NAH AI retweeted
Over 300 million tokens used since our launch 🫶🏾
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NAH AI retweeted
We want to make coding agents more accessible and free so give us a try and tell us how we can improve
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