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Earlier sources: Artificial Intelligence

Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.

SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.

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5938 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.

Earlier sources

Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.

  1. GitHub · Repository created · First archived

    WindustH/wish-web ↗

    Desktop and mobile web app for Wish, a self-hosted AI agent. Installable PWA built with Vue 3 and TypeScript.

  2. GitHub · Repository created · First archived

    WindustH/wish-core ↗

    Self-hosted AI agent server: long-lived sessions with shell tools, searchable history and 48 model provider presets, in one Rust binary.

  3. GitHub · Repository created · First archived

    prnvv2/pyntra ↗

    AI-native security testing platform - multi-agent orchestration, for authorized pentesting.

  4. GitHub · Repository created · First archived

    riba2534/claude-opus-5-5-demo ↗

    claude-opus-5-5-demo

  5. GitHub · Repository created · First archived

    nano-muse/nanoMuse ↗

    nanoMuse: a fully open-source, Muse-style personal agent for every device you own — one agent with a name and a face that does things, keeps working while the app is closed, remembers you, and asks before anything you cannot undo. In the browser, on Android, on Windows / macOS / Linux; your phone's screen and your PC as its hands.

  6. GitHub · Repository created · First archived

    pilotspace/laya-codex ↗

    Ranked code retrieval for Claude Code: tree-sitter + BM25 + the Laya re-ranker, delivered through hooks and MCP

  7. runtimewire.com · Source date · First archived

    Ahead of Meta Connect, Muse's Mac app shows an email address for your AI assistant ↗

    Ahead of Meta Connect 2026 , which begins later today (it's midnight here), Meta's Muse Mac app shows how users could give their AI assistant its own @muse.ai email address. A static inspection of a Muse 2.2 installer supplied for review found a gated address-creation flow and a mailbox with Received and Sent views. It did not establish that the service is live or that Meta plans to announce it at Connect. Read the full story on RuntimeWire

  8. GitHub · Repository created · First archived

    BkashJEE/hermes-agent-archive ↗

    Independent, source-attributed Hermes Agent workflows, skills and community projects. A static archive with public metrics and owner-reviewed contributions.

  9. GitHub · Repository created · First archived

    1Panel-dev/laya-server ↗

    A self-hosted API and web interface for Laya’s structured decision models, compatible with the TypeSafe Jev API format.

  10. GitHub · Repository created · First archived

    Hao0321/Editkin ↗

    Community source for Editkin, a local-first video editor with an editable timeline and structured AI commands

Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.

How to assess evidence about Artificial Intelligence

Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.

See the collection and counting methodology ↗ · Read the weekly synthesis ↗

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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.