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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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5906 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

    kerim0x1/bettercode ↗

    Every coding agent in one desktop workspace. Run Claude Code, OpenAI Codex, Cursor Agent and Grok side by side. Bring your own CLI. Free during beta. Open source as of 21 September 2026 (MIT).

  2. GitHub · Repository created · First archived

    VictorAgahi/causalmesh ↗

    MCP server that gives your AI coding agent a map of your polyglot codebase — reverse dependencies, gRPC tracing, event/topic flows, and doc search, without burning context. Single local Rust binary, no network calls.

  3. GitHub · Repository created · First archived

    abhishek085/open-spark-jev ↗

    Open-source, local decision models inspired by TypeSafe’s Jev and System One - built on Qwen3 for NVIDIA DGX Spark.

  4. GitHub · Repository created · First archived

    whitebeardit/claude-plugins ↗

    Claude Code plugins built and maintained by Whitebeard

  5. GitHub · Repository created · First archived

    LockedinLabs-AI/agent-console ↗

    Local-first observability for AI coding agents. Every Claude Code and Codex session's tokens, cache, models and cost, on this machine and every machine you connect through a self-hosted team hub. Presenting mode, policy hooks, Apple-signed and notarized macOS builds, attested releases. MIT.

  6. GitHub · Repository created · First archived

    adrianhajdin/atelier-store ↗

    A luxury e-commerce platform built in Next.js 16 to master agentic engineering with persistent project context, plan mode, permissions, skills, filesystem permissions, and context-isolated subagents.

  7. GitHub · Repository created · First archived

    HorusJiang/dsh-jev-tools ↗

    Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.

  8. GitHub · Repository created · First archived

    Dicklesworthstone/beads_bend ↗

    A law-proved port of br (beads_rust), the local-first, dependency-aware issue tracker for AI coding agents, to the Bend 2 language. Golden-tested against the original on every lane; early work in progress.

  9. GitHub · Repository created · First archived

    2022hpsk/SpeakerMemR1 ↗

    SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

  10. runtimewire.com · Source date · First archived

    Hidden Claude Desktop code reveals an unreleased self-hosted session endpoint ↗

    Claude Desktop 2.2553.1 contains an internal configuration that can redirect the Code tab's session traffic to an organization-specified HTTPS server, according to RuntimeWire's static analysis of the app's packaged source. Three days before that build, Coder announced Claude Code support for Agent Relay, an early-access integration that also places tool execution inside customer-controlled workspaces. Coder said it developed the integration with support from the Claude Code team and was working with selected design partners. Read the full story on RuntimeWire

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.