TermHub – Open-source terminal control gateway built for AI Agents
TermHub: Open-source native terminal control gateway for AI Agents. Let LLMs/AI Agents fully control & automate iTerm2 / Windows Terminal: manage tabs, panes, sessions, send commands, capture output programmatically. - duo121/termhub
TermHub – Open-source terminal control gateway built for AI Agents launched on April 5, 2026 with 5 votes, #1,846 of 21,248 launches that month and more than 75% of that year's launches.
What it does
brew tap duo121/termhub https://github.com/duo121/termhub brew install duo121/termhub/termhub Install from GitHub Releases (without npm): chmod +x termhub ./termhub --version Windows (PowerShell) .\ termhub.exe -- version Quick Start For AI termhub --help termhub spec termhub list Use spec as machine-readable truth and --help as human-readable truth. Both now include a currentSession hint near the top that you can copy directly into --session for AI handoff. import { createTermhubClient } from "@duo121/termhub/sdk" ; const client = createTermhubClient ( { app : "iterm2" } ) ; const opened = await client . open ( { scope : "tab" } ) ; await client . send ( { session : opened . target .…from github.com
Does a similar job
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Context GatewayMar 2026 · github.com · ▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…


TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

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