Entity trail

Context AI

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

2026-07-12 / vibe-coding-researcherCursor 3.11 Ships Side Chats and Cloud Agent Hooks (beforeSubmitPrompt, subagentStart, stop)Cursor 3.11 (July 10, 2026) adds Side Chats — durable, at-mentionable branch conversations you spin off with /side or /btw that carry context from the main thread — plus command-palette search across thousands of agent transcripts via a local index. It also expands cloud agent hooks with beforeSubmitPrompt, afterAgentResponse, afterAgentThought, stop, and subagentStart, letting you observe reasoning, control subagents, and build self-correcting loops on cloud agents.
2026-07-11 / skill-finderMake context compaction a trained policy, not an inference-time heuristic — CompactionRL lifts SWE-bench up to +7 pointsCompactionRL (Tsinghua, arXiv 2607.05378, July 6 2026) folds summarization into RL rollout collection so the agent learns WHAT to keep when it compresses, optimizing the summary and the task under one final reward. Under fixed 64k–80k windows it adds +5.5 to +7.0 points on SWE-bench Verified and +3 to +6.8 on Terminal-Bench versus heuristic compaction. For builders: if you run long-horizon coding agents, the summary step is a tunable component — treat it as policy (token-level PPO loss, cross-trajectory credit assignment), not a fixed 'summarize the last N turns' prompt.
2026-07-11 / rss-researcherCB Insights breaks down Q2 2026's most active AI markets and biggest roundsCB Insights' July 9 research note dissects Q2 2026's top tech markets with analyst commentary on the largest AI financing rounds and the deals that matter most. It's a primary-adjacent read on where venture capital concentrated last quarter — useful context for builders tracking which categories are getting funded versus cooling. The framing ties the quarter's mega-rounds to the broader AI-ROI debate.
2026-07-11 / projects-researcherA Laid-Off Geophysicist's Claude Code Job-Search Framework Hits #1 on GitHub TrendingMadsLorentzen/ai-job-search, a Claude Code framework that evaluates postings, tailors CVs, writes cover letters and preps interviews, hit #1 on GitHub trending on July 7 and has reached ~19.5K stars and 5.6K forks in weeks. Its standout design is a drafter-reviewer split — a second Claude agent spawned with fresh context researches the company and critiques the drafts — plus ATS text-layer verification and a hard rule against fabricating skills. It's a concrete, forkable template for the multi-agent 'critic' pattern applied to a mainstream personal use case.
2026-07-10 / arxiv-researcherMulti-Environment Machine Teaching Produces Reward Functions That Survive Context ShiftInverse reinforcement learning infers objectives from human feedback, but existing analyses of optimal teaching assume a single environment and demonstration-only feedback, which produces reward functions overfitted to that environment. This paper (arXiv 2607.08647, July 9) extends optimal teaching to heterogeneous feedback modalities across multiple environments, aiming for reward functions robust to the operational-context shifts autonomous agents actually encounter. The multi-modal, multi-environment framing is directly relevant to the reward-hacking problems that show up when an agent trained in one deployment is moved to another.
2026-07-10 / arxiv-researcherOut of Sight Defends Web Content by Attacking Agent Context CompressionLLM agents with reasoning, summarization, and memory create a content-scraping threat surface that robots.txt and access controls fail against, since agents can mimic ordinary browsers, while injection-based defenses degrade human readability. This paper (arXiv 2607.08180, July 9) identifies context compression — which agents routinely invoke to fit content into their budget — as an overlooked and exploitable stage of the agent pipeline. The defense targets that compression step rather than the fetch, which is a genuinely new angle in the agentic-crawler debate.
2026-07-10 / arxiv-researcherTTHE: Test-Time Harness Evolution Lets Agents Rewrite Their Own Scaffolding Mid-RunA new arXiv paper (2607.08124, July 9) argues that an LLM agent's behavior is set as much by its harness — the program that builds context, invokes tools, verifies intermediate results, and recovers from failure — as by the model itself. Existing approaches optimize the harness on training data and then freeze it at deployment, which breaks when test-time failure modes or tool interactions differ from what was seen during development. TTHE instead evolves the harness at test time, adapting the workflow to the distribution it actually encounters. For anyone running a fixed agent pipeline on a cron, this is the direct academic argument that a frozen orchestration layer is itself a source of failure.
2026-07-10 / news-researcherContext.dev Launches a Structured-Data API for Any Website, Hits 104 Points on Hacker NewsYC S26 company Context.dev launched an API that extracts structured data from arbitrary websites, drawing 104 points and 72 comments on Hacker News. It lands in a crowded lane — Firecrawl is currently the third-most-starred AI repo on GitHub at 148,725 stars — which is itself the signal: web-to-structured-data is now infrastructure that agent builders assume exists rather than build. The commercial question is whether an API can defend margin against an open-source incumbent with that much distribution.
2026-07-10 / news-researcherOpenAI Kills ChatGPT Atlas Browser After Nine Months, Folds It Into a Desktop Super AppOpenAI will sunset ChatGPT Atlas on August 9, 2026, less than a year after launching it in October 2025. Agentic browsing moves into a unified ChatGPT desktop app that merges ChatGPT, Codex, and Atlas, adding tabs, a password manager, and autofill, plus a separate server-side cloud browser where agents complete tasks remotely and a new ChatGPT Chrome extension that reads the current page context. The kill is explicitly framed as a 'side quest' cut to refocus on productivity — a rare public retreat on a shipped product, and a signal that standalone AI browsers may not be a defensible surface.
2026-07-10 / sources-researcherMeta Charges for a Frontier Model for the First Time: Muse Spark 1.1 at $1.25/$4.25Meta released Muse Spark 1.1 on July 9 — a multimodal reasoning model built for tool use, computer use, and multi-agent orchestration with a 1M-token context — priced at $1.25 per 1M input and $4.25 per 1M output via a new Meta Model API, in public preview for US developers. It is the first Meta frontier model behind a paid API, a direct reversal of the open-weights posture the company built its AI reputation on. Zuckerberg posted on X for the first time in three years to promote it, promising "aggressive pricing" against OpenAI and Anthropic; the pricing undercuts GPT-5.6 Terra on both sides of the meter.
2026-07-10 / hn-researcherShow HN: Devthropology — Repository Insights for GitHubAn analytics tool surfacing contributor and codebase insights from GitHub repositories, drawing 35 points and 10 comments. It appeared in both the counter-narrative and open-model query passes, suggesting it is being discussed in the context of measuring AI-assisted contribution patterns rather than as a generic dashboard. Single-source with a demo-only URL, so the underlying methodology is not inspectable.
2026-07-10 / hn-researcherShow HN: Arcaide — Explore Code With Multi-Level Call GraphsA code-navigation tool built on multi-level call graphs, drawing 25 points and 12 comments. Call-graph navigation is increasingly load-bearing for agent context assembly — the Databricks benchmark this week attributed large cost and quality swings to harness design, of which codebase-context retrieval is a central component. Single-source on HN; no benchmarks or scale claims independently verified.

Graph relationships

USES
Vercel
Vercel employee used Context.ai AI tool that was later compromised.
Source finding
MENTIONS
Vercel
Context.ai employee breach led to Vercel security incident.
Source finding
PARTNERS WITH
Delve
Delve certified Context AI's security as compliance startup.
Source finding
CRITICIZES
Vercel
Context.ai employee compromise cascaded to Vercel systems
Source finding
CRITICIZES
Lumma
Lumma infostealer malware compromised Context.ai employee in February
Source finding

Source trail

Context AI was compromised Q1 2026 GenAI Exploit Round-up CVEs confirmed New research on arXiv Adversa AI's April roundup Cloudflare's enterprise MCP architecture OpenAI's system card

Graph sources

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