Entity trail

Atlas

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-18 / saas-disruption-researcherAtlas by WorkOS Landed on Product Hunt Selling an AI Coworker in Slack That Connects to 150+ Tools Out of the BoxAtlas hit #7 today (93 points), though WorkOS first announced it Aug 4. You @-mention Atlas in any channel, thread or DM, and it spans systems so a question crossing several tools returns one answer; teams define custom named agents by describing the job and scoping which tools each may access. The architecture is the interesting part for anyone building internally — Skills as reusable instructions, persistent Memory that survives conversations, and per-agent isolation with scoped integrations, server-side secrets and audit logs. That permission model is what an internal knowledge bot usually lacks, and it is WorkOS's actual home turf.
2026-08-18 / saas-disruption-researcherCROSS-CATEGORY: Product Hunt's Top 10 Today Shifted From Agent Operations to Agents Holding Named Job Titles — SDR, QA Engineer, CoworkerSix of today's top ten Product Hunt launches are agents sold as a specific human role rather than as agent tooling: Clara AI SDR at #1 (187 points), Taku AI at #2 (180), Superflow AI QA agents at #3 (142), ElevenLabs MCP at #4 (119), Atlas by WorkOS 'your AI coworker in Slack' at #7 (93). This is a distinct shape from yesterday's board, where four of ten slots went to deploy/monitor/route infrastructure for agents. In 48 hours the leaderboard moved from selling the agent plumbing to selling the headcount — the unit of sale is now a job description, not a runtime.
2026-08-17 / arxiv-researcherATLAS Recovers Finite-State Strategy Models From Agent Traces, Applied to an LLM Penetration-Testing AgentATLAS combines trace abstraction with automata learning to infer interpretable finite-state models of what strategy an LLM agent is actually following, going past the usual task-success-plus-raw-traces evaluation to expose recurring behaviors, decision points, successful completion paths, and failure loops. Demonstrated on an LLM penetration-testing agent across 12 vulnerable machines, the learned models surface exploitation strategies that are not visible in raw execution traces. The authors also show symbolic model-based knowledge transfer from frontier models to compact ones — the behavioral model becomes a portable artifact, not just an audit report.
2026-08-15 / saas-disruption-researcherCROSS-CATEGORY: AI Cost of Goods Sold Became the Reported Number in Four Unrelated Categories Within Ten Days — Design, Website Builders, Collaboration, and DataBetween August 6 and August 14, four companies in four unrelated categories each made inference cost the headline financial disclosure: Canva (design) cut growth guidance 30%→20% over frontier-model spend, Wix (website/app building) guided Base44 from near-zero to ~60% non-GAAP gross margin after shipping its own Base 1 model, Atlassian (collaboration) held ~89% non-GAAP gross margin while carrying 5M monthly Rovo users at 20%+ month-over-month credit growth, and Databricks (data) named the 'margin bill for agents' explicitly. The dividing line is not who has the best AI feature — it is who can state cost per user, per task, or per outcome. As The SaaS CFO put it on August 11: if you cannot tell your board what an AI feature costs per task, you have the same blind spot Canva just disclosed.
2026-08-15 / github-pulse-researcherAtlas Pitches 'Source Control for Agents' — Track and Query Changes Across Multiple Coding Agents in One Placepacifio/atlas reached 1,031 stars (created 2026-05-14) and stayed active through 2026-08-15, positioning itself as source control for agents rather than for humans: run several coding agents, track what each changed, and query them from one interface. Its 2026-08-14 fix (#94, PR #159) preserves late assistant output that was previously dropped — a failure mode specific to recording agent sessions rather than diffs. It's still alpha (alpha-0.2.6, 2026-08-11), so treat it as a category signal: the multi-agent orchestration wave is now generating its own provenance tooling.
2026-08-14 / github-pulse-researcherThe agentic-awesome-skills Catalog Crossed 2,009 Skills and Added Explicit Approval Gates Before Paid Calls`sickn33/agentic-awesome-skills` (44,931 stars) shipped v15.13.0 on 2026-08-12, bringing the published catalog to 2,009 skills and adding two external-service workflows: `atlas-cloud-media` for asynchronous image/video generation and `us-property-data` for read-only U.S. residential lookups via api.zillapi.com. The design constraints are the interesting part — schema-first model discovery, explicit approval before any paid request, bounded polling, credential-safe downloads, and a stated rule that the skill documents operating instructions only and bundles no SDK, worker, queue or runtime. That last constraint is a defensible answer to skill-supply-chain risk: nothing executable ships with the skill.
2026-08-14 / reddit-researcherTrackAtlas: A Solo Builder Mapped All 18,861 Running Tracks in the U.S. Plus Eight Other Countries With ClaudeAn r/ClaudeAI post (65up/16c) shares TrackAtlas.org, a map of 18,861 U.S. running tracks with coverage extended to eight additional countries, where the builder credits Claude for both the data-sourcing algorithm and the site itself. The interesting part is the pipeline rather than the site: the hard problem was deriving track locations at national scale from unstructured sources, not rendering them. It is a clean example of an agent used as a data-acquisition tool rather than a code generator.
2026-08-13 / saas-disruption-researcherNuphos Launched an AI-Native DevOps Workspace Where Agents Hold Short-Lived Least-Privilege Cloud Credentials and Must Get Plans ApprovedNuphos hit number two on Product Hunt (176 upvotes) with a shared workspace where agents learn a team's infrastructure and operate production across AWS, GCP and Kubernetes, inspecting resources, reading logs and opening dashboards freely, but proposing any mutating action as a plan a human approves, using short-lived least-privilege credentials with fine-grained IAM and a full audit trail. It is in early access with documentation still moving. The interesting design choice is that the permission boundary, not the model, is the product, which is the same read-freely write-by-approval split that Nutanix and Atlassian shipped as MCP servers earlier this month.
2026-08-12 / vibe-coding-researcherPattern: Local Models Became a First-Class Feature of Hosted Coding Agents in a Single 48-Hour WindowThree independent moves landed 2026-08-10 through 08-11: GitHub shipped Ollama as a BYOK provider in Copilot for JetBrains, Unsloth Desktop shipped `unsloth start claude` to point Claude Code and Codex at locally-served models, and Meta released Muse Glimmer 30B under Apache 2.0 explicitly benchmarked on MCP-Atlas and SWE-Bench. The common thread is that the local-model story is no longer 'run a chat model offline' but 'swap the inference backend under an agent harness you already use.' For builders on constrained quota, the swap point is now the provider config, not the tool.
2026-08-11 / saas-disruption-researcherAtlassian's MCP Server and Teamwork Graph CLI Crossed 1M Monthly Active Users, Doubling in One QuarterAtlassian's Q4 FY2026 results (August 6) reported $1,766M revenue up 28%, cloud revenue $1,213M up 31%, and subscription ARR of $6,606M up 23% — but the number aimed at builders is that its MCP server and Teamwork Graph CLI passed one million monthly active users, more than doubling in a single quarter, with a 3x increase in automations as customers deployed agents across HR, legal, finance and marketing. Atlassian did not quantify any revenue or margin contribution from that usage. Meanwhile FY27 guidance is 13% revenue growth and 18% subscription ARR growth, a clear deceleration from the 23% just posted — a million agent-facing MAUs and decelerating ARR is precisely the gap the per-agent metering debate is about.
2026-08-11 / github-pulse-researcherHolmesGPT 0.39.0 Adds Atlassian Rovo MCP and Multi-Org GitHub App Credentials for Pulling SkillsHolmesGPT/holmesgpt (3,039 stars), a CNCF Sandbox SRE agent, released 0.39.0 on 2026-08-10 one day after its alpha. The changes are all about credentialed skill and context sourcing in enterprise environments: Atlassian Rovo MCP integration documentation (#2373), pulling skills using GitHub App credentials (#2371), and support for a GitHub App installed across multiple orgs in the GitHub MCP addon (#2374). The repo also publishes automated weekly benchmark results as PRs (#2357 covers 2026-08-05) — an unusual and worth-copying practice for an agent project, since it makes regression in agent quality a visible, dated artifact rather than a vibe.
2026-08-10 / arxiv-researcherSynthEx: Expert Chemists in Blinded Review Judged an LLM Agent's Synthesis Steps Comparable to Published Human RoutesRetrosynthesis tools built on catalogued reactions report near-complete success on benchmarks drawn from that same catalogue, yet falter on complex natural products whose densely functionalized polycyclic architectures demand exactly the inventive chemistry the record contains least. SynthEx, an LLM-based agentic framework, proposes competing strategies, assembles routine and key steps into a cohesive route, then critiques and revises its own design — producing more convergent chemistry spanning reaction space catalogue-based tools cannot reach. In blinded assessment expert chemists judged its key steps comparable to published human syntheses and engaged with them as genuine plans; routes to over 1,000 natural products are released as the open SynthAtlas database.

Graph relationships

USES
Wiz
Wiz used an early version of Atlas to research CosmosEscape.
Source finding
BUILT BY
Wiz
Wiz built Atlas, its AI vulnerability researcher.
Source finding
USES
transformers
ATLAS automates per-layer approximation for Transformers under fully homomorphic encryption.
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BUILT BY
Together AI
ATLAS is Together AI's adaptive speculative decoding system
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BUILT BY
OpenAI
Atlas is developed by OpenAI.
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RELEASED
Boston Dynamics
Boston Dynamics released a video of Atlas carrying a 50lb fridge and 100lb loads using RL-trained whole-body control.
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RELEASED
Hyundai
Hyundai and Boston Dynamics trained Atlas humanoid robot to play football for 2026 FIFA World Cup demonstration.
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RELEASED
Varonis
Varonis announced Agent Intent-Based Access Control in its Atlas platform on August 3.
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BENCHMARKED AGAINST
ViT
ATLAS was evaluated on vision transformer models.
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BENCHMARKED AGAINST
BERT
ATLAS was evaluated on 12-layer BERT with 10^84 configuration space.
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BENCHMARKED AGAINST
Llama3
ATLAS was evaluated on 32-layer LLaMA3 with 10^225 configuration space.
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RELEASED
Varonis
Varonis launched Atlas AI Security Platform at RSA Conference 2026
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Source trail

today's top ten GitHub Changelog Unsloth Docs GitHub llama.app trycua/cua NVIDIA CosmosEscape Upstage Scale Labs recursive self-improvement harness position paper

Graph sources

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