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      "description": "OSS alt to LlamaIndex; ~29874 stars; via ossinsight.io",
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      "title": "One API",
      "description": "OSS alt to LiteLLM; ~36267 stars; via ossinsight.io",
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      "title": "OpenLLMetry",
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      "one_liner": "General-purpose sandbox platform for coding/GUI agents, code execution, evaluation, and RL training; Python/JS/Java/.NET/Go SDKs, CLI, MCP and OpenAPI; Docker…",
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      "title": "Portkey Gateway",
      "description": "OSS alt to LiteLLM; ~12670 stars; via ossinsight.io",
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      "description": "OSS alt to LangGraph; ~19148 stars; via ossinsight.io",
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      "title": "Ray",
      "description": "OSS alt to proprietary GPU-orchestration platforms; ~43500 stars; complements Celery, SkyPilot; General distributed-compute engine; also serves the cost/GPU/model orchestration branch. No model.",
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      "title": "SkyPilot",
      "description": "OSS alt to proprietary GPU-cost platforms; ~10500 stars; complements Ray; Provisions cheapest GPUs across clouds with spot/failover — the strongest OSS fit for the cost/GPU branch (STRUCTURAL: most cost-optimization is commercial). No model.",
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      "title": "SurfSense",
      "description": "OSS alt to NotebookLM; ~15811 stars; via openalternative.co",
      "one_liner": "OSS alt to NotebookLM; ~15811 stars; via openalternative.co",
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      "title": "SwanLab",
      "description": "OSS alt to Weights & Biases; ~4128 stars; via ossinsight.io",
      "one_liner": "OSS alt to Weights & Biases; ~4128 stars; via ossinsight.io",
      "category": "ai-infrastructure",
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      "title": "vLLM",
      "description": "Throughput leader; strong governance",
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      "title": "VoltAgent",
      "description": "OSS alt to CrewAI; ~10321 stars; via ossinsight.io",
      "one_liner": "OSS alt to CrewAI; ~10321 stars; via ossinsight.io",
      "category": "ai-infrastructure",
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      "json": "https://gtmstacker.com/registry/tool/omnara/index.json",
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      "type": "tool",
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      "url": "https://gtmstacker.com/registry/tool/zvec-grep/",
      "title": "zg (zvec-grep)",
      "description": "A local-first search tool for people and AI agents that combines ripgrep, BM25, and on-device vector search across code, docs, and data — indexing and search stay on the machine. Auto-configures agents (Claude Code, Codex, OpenCode) and reports fewer tool-calls/tokens on SWE-QA-Bench.",
      "one_liner": "A local-first search tool for people and AI agents that combines ripgrep, BM25, and on-device vector search across code, docs, and data — indexing and search…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "search",
        "retrieval",
        "local-first",
        "cli"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "free",
      "status": "active",
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      "date_modified": "2026-09-02T13:53:41Z",
      "json": "https://gtmstacker.com/registry/tool/zvec-grep/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/zvec-grep/index.md"
    },
    {
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      "url": "https://gtmstacker.com/registry/tool/copilotkit-openbot/",
      "title": "OpenBot",
      "description": "Gives each AI agent its own isolated computer (browser, file workspace, tools) behind a policy gateway that reviews and audit-logs every action before it runs. Works with AG-UI agents (LangGraph, Mastra, CrewAI, Pydantic AI); model-agnostic and self-hostable.",
      "one_liner": "Gives each AI agent its own isolated computer (browser, file workspace, tools) behind a policy gateway that reviews and audit-logs every action before it…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "agents",
        "sandbox",
        "governance"
      ],
      "open_source": "yes",
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      "pricing_model": "free",
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      "json": "https://gtmstacker.com/registry/tool/copilotkit-openbot/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/copilotkit-openbot/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/freetoken",
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      "slug": "freetoken",
      "url": "https://gtmstacker.com/registry/tool/freetoken/",
      "title": "FreeToken",
      "description": "Edge-native Mixture-of-Experts inference engine (UC Berkeley) that runs frontier open-weight models on consumer hardware — e.g. a 35B model on an 8GB GPU — by treating GPU/CPU/host-memory as one bandwidth-adaptive platform; 2–4× faster than Ollama on MoE. Desktop app + Python CLI.",
      "one_liner": "Edge-native Mixture-of-Experts inference engine (UC Berkeley) that runs frontier open-weight models on consumer hardware — e.g. a 35B model on an 8GB GPU — by…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "local-inference",
        "moe",
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      "date_modified": "2026-09-01T11:00:27Z",
      "json": "https://gtmstacker.com/registry/tool/freetoken/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/freetoken/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/superlinked-sie",
      "type": "tool",
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      "url": "https://gtmstacker.com/registry/tool/superlinked-sie/",
      "title": "SIE (Superlinked Inference Engine)",
      "description": "Self-hosted, OpenAI-compatible inference server that runs 85–100+ open models behind one API (encode/score/extract/generate), loading and LRU-evicting models by traffic so one GPU serves a rotating set instead of one server per model. Plugs into Qdrant, Weaviate, Chroma, LanceDB, LangChain, LlamaIndex.",
      "one_liner": "Self-hosted, OpenAI-compatible inference server that runs 85–100+ open models behind one API (encode/score/extract/generate), loading and LRU-evicting models…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "inference",
        "self-hostable",
        "oss-alternative"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "free",
      "status": "active",
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      "date_modified": "2026-09-01T06:49:18Z",
      "json": "https://gtmstacker.com/registry/tool/superlinked-sie/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/superlinked-sie/index.md"
    },
    {
      "id": "com.gtmstacker.registry/news/apple-agent-seer-tool-calling",
      "type": "news",
      "slug": "apple-agent-seer-tool-calling",
      "url": "https://gtmstacker.com/registry/news/apple-agent-seer-tool-calling/",
      "title": "Apple 'Agent Seer' research: API and parameter design break agent tool-calling",
      "description": "Apple research reporting that a large share of agent tool-calling failures trace to API and parameter design — schema shapes, parameter naming and documentation — rather than model capability. Practical implication for GTM-agent builders: design tool surfaces for the model, and keep a human approval step on consequential actions.",
      "one_liner": "Apple research reporting that a large share of agent tool-calling failures trace to API and parameter design — schema shapes, parameter naming and…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "news",
        "agents",
        "governance"
      ],
      "open_source": "unknown",
      "self_hostable": "unknown",
      "pricing_model": "unknown",
      "status": "active",
      "revision": 1,
      "content_hash": "e59311086ee31bcb941f25da685bc58e6e85908dbc6015d8e3c25081d1d3e134",
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      "date_modified": "2026-09-01T00:00:00Z",
      "json": "https://gtmstacker.com/registry/news/apple-agent-seer-tool-calling/index.json",
      "markdown": "https://gtmstacker.com/registry/news/apple-agent-seer-tool-calling/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/itsuki-memory",
      "type": "tool",
      "slug": "itsuki-memory",
      "url": "https://gtmstacker.com/registry/tool/itsuki-memory/",
      "title": "Itsuki",
      "description": "Open-source memory engine for AI agents over REST API + MCP: captures conversations/events into typed, versioned, reversible objects (facts, entities, relationships, events) accessible across 26+ tools, with an audit trail and JSON export.",
      "one_liner": "Open-source memory engine for AI agents over REST API + MCP: captures conversations/events into typed, versioned, reversible objects (facts, entities,…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "agent-memory",
        "mcp",
        "memory"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "free",
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      "date_modified": "2026-08-29T07:50:32Z",
      "json": "https://gtmstacker.com/registry/tool/itsuki-memory/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/itsuki-memory/index.md"
    },
    {
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      "type": "tool",
      "slug": "tokensift",
      "url": "https://gtmstacker.com/registry/tool/tokensift/",
      "title": "Tokensift",
      "description": "Open-source, tokenizer-level static linter for LLM prompts and payloads — flags token waste (UUIDs, repeated blocks, pretty-printed JSON, base64 blobs) with fix suggestions. Library + CLI, 20 built-in rules; exact counts for OpenAI, calibrated estimates for Claude.",
      "one_liner": "Open-source, tokenizer-level static linter for LLM prompts and payloads — flags token waste (UUIDs, repeated blocks, pretty-printed JSON, base64 blobs) with…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "llm",
        "cost-governance",
        "linter",
        "prompts"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "free",
      "status": "active",
      "revision": 1,
      "content_hash": "aa0fb824bd5105f9bad3b2c87315ab0c6a04ce3e05760c3b8753f9565983e93d",
      "date_published": "2026-08-29T06:33:51Z",
      "date_modified": "2026-08-29T06:33:51Z",
      "json": "https://gtmstacker.com/registry/tool/tokensift/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/tokensift/index.md"
    },
    {
      "id": "com.gtmstacker.registry/news/glm-5-3-open-weight",
      "type": "news",
      "slug": "glm-5-3-open-weight",
      "url": "https://gtmstacker.com/registry/news/glm-5-3-open-weight/",
      "title": "GLM-5.3 is now open-weight",
      "description": "Zhipu's GLM-5.3 was released as an open-weight model on Hugging Face — a runnable-locally option for bulk GTM classification/enrichment/drafting versus paying per API call. Exact commercial license terms are NOT independently verified.",
      "one_liner": "Zhipu's GLM-5.3 was released as an open-weight model on Hugging Face — a runnable-locally option for bulk GTM classification/enrichment/drafting versus paying…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "model-release",
        "open-weight",
        "llm",
        "build-vs-buy"
      ],
      "open_source": "unknown",
      "self_hostable": "unknown",
      "pricing_model": "unknown",
      "status": "active",
      "revision": 1,
      "content_hash": "83ce3d7f89f2802a6c8abe774c86ee9f61ab70aa4e49187e87d31f2a17a440fb",
      "date_published": "2026-08-28T15:20:13Z",
      "date_modified": "2026-08-28T15:20:13Z",
      "json": "https://gtmstacker.com/registry/news/glm-5-3-open-weight/index.json",
      "markdown": "https://gtmstacker.com/registry/news/glm-5-3-open-weight/index.md"
    },
    {
      "id": "com.gtmstacker.registry/news/accept-markdown-content-negotiation",
      "type": "news",
      "slug": "accept-markdown-content-negotiation",
      "url": "https://gtmstacker.com/registry/news/accept-markdown-content-negotiation/",
      "title": "Accept: text/markdown — serve Markdown to AI agents via content negotiation",
      "description": "An open HTTP technique (not a SaaS, no vendor/lock-in): clients send Accept: text/markdown and the server returns Markdown from the same URL that still serves HTML to browsers — cutting token bloat for agent readers. Copy-paste recipes for Nginx, Caddy, Next.js, Astro, Django, Rails.",
      "one_liner": "An open HTTP technique (not a SaaS, no vendor/lock-in): clients send Accept: text/markdown and the server returns Markdown from the same URL that still serves…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "content-negotiation",
        "agents",
        "technique",
        "geo"
      ],
      "open_source": "unknown",
      "self_hostable": "unknown",
      "pricing_model": "unknown",
      "status": "active",
      "revision": 1,
      "content_hash": "2cb67e4b2a26804b41902a1f33302e6eee7b6f0787be42c223f8e69d3a1fa873",
      "date_published": "2026-08-27T00:00:00Z",
      "date_modified": "2026-08-27T00:00:00Z",
      "json": "https://gtmstacker.com/registry/news/accept-markdown-content-negotiation/index.json",
      "markdown": "https://gtmstacker.com/registry/news/accept-markdown-content-negotiation/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/pipecat",
      "type": "tool",
      "slug": "pipecat",
      "url": "https://gtmstacker.com/registry/tool/pipecat/",
      "title": "Pipecat",
      "description": "Open-source framework for real-time voice agents, multimodal apps, and live AI — composable pipelines with swappable STT (22+), TTS (35+), any LLM, and WebRTC/WebSocket/Twilio/WhatsApp transports, plus multi-agent composition and sub-200ms latency. Maintained by Daily.",
      "one_liner": "Open-source framework for real-time voice agents, multimodal apps, and live AI — composable pipelines with swappable STT (22+), TTS (35+), any LLM, and…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "voice-ai",
        "realtime",
        "framework"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "usage",
      "status": "active",
      "revision": 1,
      "content_hash": "517e51bac7f4654b5045fd7eaa9da33293f525309e38f9eb3f67221214adc1f4",
      "date_published": "2026-08-26T05:09:40Z",
      "date_modified": "2026-08-26T05:09:40Z",
      "json": "https://gtmstacker.com/registry/tool/pipecat/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/pipecat/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/langfuse",
      "type": "tool",
      "slug": "langfuse",
      "url": "https://gtmstacker.com/registry/tool/langfuse/",
      "title": "Langfuse",
      "description": "LLM engineering platform: observability, evals, prompt management, traces, and datasets — for diagnosing why a marketing/GTM agent made a bad recommendation, not just that it failed.",
      "one_liner": "LLM engineering platform: observability, evals, prompt management, traces, and datasets — for diagnosing why a marketing/GTM agent made a bad recommendation,…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "llm-observability",
        "evals",
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      "open_source": "yes",
      "self_hostable": "yes",
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      "status": "active",
      "revision": 1,
      "content_hash": "4c6196c5ee3e70a4ba39d4824cc55316930921ce6158697d0ca3ac353a636e7c",
      "date_published": "2026-08-25T21:34:12Z",
      "date_modified": "2026-08-25T21:34:12Z",
      "json": "https://gtmstacker.com/registry/tool/langfuse/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/langfuse/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/dsh-milvus",
      "type": "tool",
      "slug": "dsh-milvus",
      "url": "https://gtmstacker.com/registry/tool/dsh-milvus/",
      "title": "Milvus for DeepSeek Harness",
      "description": "A read-only DeepSeek Harness plugin that lets an agent inspect and query Milvus / Zilliz Cloud vector stores — entity lookup, scalar queries, BM25 full-text, and dense+BM25 hybrid retrieval. The plugin bounds the tool surface (no insert/delete/admin) at the execution boundary, not by prompt.",
      "one_liner": "A read-only DeepSeek Harness plugin that lets an agent inspect and query Milvus / Zilliz Cloud vector stores — entity lookup, scalar queries, BM25 full-text,…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "vector-database",
        "rag",
        "plugin"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "free",
      "status": "active",
      "revision": 1,
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      "date_modified": "2026-08-25T15:57:00Z",
      "json": "https://gtmstacker.com/registry/tool/dsh-milvus/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/dsh-milvus/index.md"
    },
    {
      "id": "com.gtmstacker.registry/tool/quartermaster-qm",
      "type": "tool",
      "slug": "quartermaster-qm",
      "url": "https://gtmstacker.com/registry/tool/quartermaster-qm/",
      "title": "Quartermaster (QM)",
      "description": "An open, multiplayer agent harness for organizations: every employee and Slack room gets a scoped workspace (separate memory, files, permissions, sandbox), with shared skills, admin-gated promotion, crons/background watches, and one-command deploy to Fly/AWS. Model-agnostic (Claude/Codex/OpenCode).",
      "one_liner": "An open, multiplayer agent harness for organizations: every employee and Slack room gets a scoped workspace (separate memory, files, permissions, sandbox),…",
      "category": "ai-infrastructure",
      "tags": [
        "ai-infrastructure",
        "agent-ops",
        "multiplayer",
        "self-hostable"
      ],
      "open_source": "yes",
      "self_hostable": "yes",
      "pricing_model": "free",
      "status": "active",
      "revision": 1,
      "content_hash": "5655dc6efb45eac207368628268290b27a3275bea367ac7b9d447047ad68b942",
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      "date_modified": "2026-08-25T10:10:43Z",
      "json": "https://gtmstacker.com/registry/tool/quartermaster-qm/index.json",
      "markdown": "https://gtmstacker.com/registry/tool/quartermaster-qm/index.md"
    }
  ]
}
