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  "title": "Clai",
  "description": "Clai is an open-source command-line AI harness for terminal power users: context-engineering and agent workflows you run as a standalone CLI or embed as a Go package. Open source: yes (MIT); self-hostable. Free OSS; ~145 stars; established and active (~925 commits since 2024).",
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  "one_liner": "Clai is an open-source command-line AI harness for terminal power users, run as a standalone CLI or embedded as a Go package for agent workflows.",
  "open_source": "yes",
  "self_hostable": "yes",
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  "who_its_for": "A terminal-first developer or ops person who wants an AI harness that lives in the shell — context engineering and agent workflows driven from the command line — and that can also be embedded as a Go package inside their own tooling.",
  "who_its_not_for": "A non-technical user who wants a GUI or a hosted product; this is a developer command-line tool, and a general-purpose one rather than a GTM-specific workflow.",
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    "note": "MIT per repo (license read from GitHub metadata, not guessed); ~145 stars; ~925 commits; created 2024-03, active (pushed 2026-10-03) (github.com/baalimago/clai, verified 2026-10-03). Repo description: 'Command line artificial intelligence - Context engineering for terminal powerusers.' Usable as a standalone CLI or as a Go package. The specific capabilities are the project's own description, not independently tested here."
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  "caveats": "Verified from the primary repo (2026-10-03); no independent testing here. Established and maintained (~925 commits since 2024) but modest reach (~145 stars). It is a general-purpose terminal AI harness, not a GTM-specific tool, so the GTM value is in what you build on it. Developer/CLI audience only. Surfaced via the studio daily pull.",
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      "text": "Clai is an open-source command-line AI harness for terminal power users: context-engineering and agent workflows you drive from the shell, as a standalone CLI or embedded as a Go package. Open source: yes (MIT); self-hostable; free OSS. It has ~145 stars and is established and actively maintained, with ~925 commits since 2024."
    },
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      "text": "an open-source command-line AI harness for terminal power users: context-engineering and agent workflows you drive from the shell, as a standalone CLI or embedded as a Go package. Open source: yes (MIT); self-hostable; free OSS. It has ~145 stars and is established and actively maintained, with ~925 commits since 2024.\n\nClai lives in the terminal. Rather than a chat window, it gives command-line users a way to run AI with deliberate context engineering: assembling the right context and driving agent workflows from the shell, where a developer already works. Its second shape is as a Go package, so the same harness can be embedded inside your own tools rather than only invoked as a CLI. It is MIT-licensed and self-hostable in the sense that you run it yourself and point it at your own model access. Open source: yes (MIT); free OSS. This is a general-purpose developer tool, so what it does for a GTM stack depends on what you build with it."
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      "text": "a CLI. It is MIT-licensed and self-hostable in the sense that you run it yourself and point it at your own model access. Open source: yes (MIT); free OSS. This is a general-purpose developer tool, so what it does for a GTM stack depends on what you build with it.\n\n- MIT per repo (license read from GitHub metadata, not guessed); ~145 stars; ~925 commits; created 2024-03, active (pushed 2026-10-03) (github.com/baalimago/clai, verified 2026-10-03).\n- Repo description: \"Command line artificial intelligence - Context engineering for terminal powerusers\"; usable as a standalone CLI or as a Go package.\n- Surfaced in the GTM Stacker studio daily pull (2026-10-03 pass); license/facts independently verified 2026-10-03.\n- Capabilities are the project's own description (vendor-claim); not independently tested here."
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      "text": "- Repo description: \"Command line artificial intelligence - Context engineering for terminal powerusers\"; usable as a standalone CLI or as a Go package. - Surfaced in the GTM Stacker studio daily pull (2026-10-03 pass); license/facts independently verified 2026-10-03. - Capabilities are the project's own description (vendor-claim); not independently tested here.\n\nMost GTM automation gets built by someone comfortable in a terminal, and a harness that lives there — with context engineering as a first-class idea and a Go package you can embed — is a practical building block for that person. Clai is not a GTM product; it is plumbing a builder can wire into prospecting, enrichment, or reporting scripts and then reuse inside a larger tool. For a technical RevOps or growth engineer who prefers the command line to a dashboard, it is worth a look. The honest read: reach is modest (~145 stars), and because it is general-purpose, the GTM value is entirely in what you assemble on top of it. If you want a turnkey workflow rather than a harness, this is not it."
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