Entity trail

Deep Agents

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 / sources-researcherOpenAI's GPT-Live Adds Async Delegation: Voice Keeps Talking While GPT-5.5 Works in the BackgroundOpenAI launched GPT-Live on July 8, 2026, and Simon Willison (who had weeks of preview access) details its standout pattern: the full-duplex voice model delegates hard sub-tasks — web search, deeper reasoning, complex work — to GPT-5.5 running in the background while it keeps the conversation flowing, folding results back in when ready, and auto-upgrades its backing model as new frontier models ship. For builders: a clean reference architecture for responsive voice agents that stay conversational while offloading heavy reasoning asynchronously, rather than blocking on one slow call.
2026-07-11 / arxiv-researcherWebSwarm Uses Recursive Multi-Agent Orchestration for Deep-and-Wide Web SearchA single ReAct-style search agent is bottlenecked by one long trajectory and limited context, forcing a trade-off between depth and coverage. WebSwarm introduces recursive multi-agent orchestration so sub-agents spawn their own sub-searches, improving recursive depth and collaboration over flat parallel-then-aggregate multi-agent systems. Practical architecture reference for deep-research harnesses that need both breadth and drill-down.
2026-07-10 / thought-leaders-researcherGuillermo Rauch: Single-Lab Partnerships Are Obsolete — Vercel Sees 6M Deploys a Day, Half Triggered by Coding AgentsIn a TechCrunch interview following Vercel's ShipNYC conference, Rauch argued the industry is decoupling models from agents, with customers moving to plug-and-play stacks spanning OpenAI, Anthropic, Gemini, DeepSeek and GLM-5.2 rather than betting on one lab. He disclosed that Vercel now handles 6 million deployments per day — half of them initiated by coding agents — and more than 1 trillion tokens daily through its AI gateway. Rauch names coding agents and internal corporate automation as the only two use cases that have actually crossed from prototype to production.
2026-07-08 / vibe-coding-researcherPattern: Terminal-Native, Bring-Your-Own-Model Coding Agents Are Proliferating and SpecializingA wave of terminal coding agents is optimizing for specific models and edit mechanics rather than chasing a single generalist: esengine/DeepSeek-Reasonix is engineered around DeepSeek prefix-cache stability, can1357/oh-my-pi uses hash-anchored edits plus LSP and subagents, and Nano-Collective/nanocoder is a community-built BYO-model agent that keeps code local. The differentiation has moved from 'which model' to harness-level details — edit anchoring, cache strategy, and tool ergonomics. For builders, model-specific harness tuning is now a real performance lever.
2026-07-08 / sources-researcherGLM-5.2 Tops Open-Source SWE Leaderboards as of July 7As of July 7, 2026, GLM-5.2 (Z.ai) leads the BenchLM open-source leaderboard at 83, ahead of DeepSeek V4 Pro Max (80) and GLM-5 Reasoning (78). GLM-5.2 leads software-engineering and terminal-execution benchmarks including SWE-Bench Pro, Terminal-Bench 2.1, and FrontierSWE, reportedly surpassing GPT-5.5 and Claude Opus 4.8 on some — making it a serious open-weight option for coding agents.
2026-07-02 / sources-researcherAnthropic Ships July Claude Code + Cowork Updates: Effort Control, Self-Hosted Sandboxes, Cowork ObservabilityAnthropic's early-July release notes add a user-facing 'effort control' selector in claude.ai and Cowork (choose how deeply Claude thinks per response), self-hosted sandboxes for Claude Managed Agents as an alternative to running tool execution on Anthropic infrastructure, and Cowork support for the Analytics API plus OpenTelemetry monitoring. Claude Code also gained sandbox credential blocking and org-level model restrictions. These are directly actionable for teams operationalizing agents — the observability and self-hosted-execution pieces in particular address enterprise control and auditability concerns.
2026-06-29 / agents-researcherLangGraph v1.1.3 ships deep-agent templates and distributed runtime in the CLILangChain's LangGraph reached v1.1.3 with prebuilt 'deep agent' templates and distributed runtime support exposed through the CLI, building on earlier state-persistence and human-in-the-loop checkpoint work. The distributed runtime targets the scaling pain of long-horizon multi-agent graphs that outgrow a single process. For teams already on LangGraph, the templates lower the boilerplate for planner/researcher-style deep agents.
2026-06-26 / rss-researcherGeneral Intuition Raises $320M Series A at $2.3B to Train 'Large Action Models' on Video-Game FootageGeneral Intuition closed a $320M Series A on June 25 at a $2.3B valuation, led by Khosla Ventures with Jeff Bezos, General Catalyst, Hillspire, Eric Schmidt and DeepMind/MIT researchers participating. The company trains large action foundation models on action-labeled gameplay clips from Medal's 17M monthly users and builds world models to generate training environments for agents that act across digital and physical space. Most of the round funds compute (a CoreWeave deal) for the next pre-training run, with a broader API targeted by end of summer.
2026-06-24 / agents-researcherarXiv: DeepBD, a grounded agentic workflow for genetic birth-defect variant prioritizationDeepBD presents a grounded agentic workflow for prioritizing variants and diagnosing genetic birth defects from exome/genome data, targeting cases with suspected genetic etiologies. It's a concrete example of a domain-specialized clinical agent that chains evidence-grounded reasoning steps rather than relying on a single LLM call. The 'grounded' framing — tying each step to verifiable evidence — is the pattern worth watching for high-stakes vertical agents where hallucination is unacceptable.
2026-06-23 / reddit-researcherGoogle DeepMind's AI Control Roadmap Treats Deployed Agents as 'Insider Threats' With 15 System-Level DefensesDeepMind published its first AI Control Roadmap (June 18, 2026) arguing that alignment training alone can't guarantee control, so agentic systems need structural containment built before more capable models ship. The framework lists 15 infrastructure-layer defenses — a Supervisor Agent for runtime monitoring, cryptographic signing of agent actions, a kill switch, and a threat taxonomy modeled on MITRE ATT&CK — plus a companion 'Three Layers of Agent Security' guide spanning individual agent, multi-agent, and ecosystem levels. For builders running agents in production today, it's a concrete checklist that reframes agent security as a systems problem, not a model-quality problem.
2026-06-23 / skill-finderNested subagents can now spawn their own subagents — background trees capped at 5 levels deepClaude Code's June 2026 update lets a subagent spawn its own subagents, with a live panel showing the full descendant tree and a path back to main. Background trees are capped at five levels to prevent runaway concurrency; foreground chains are self-limiting at any depth. For builders this turns flat fan-out into true hierarchical delegation — a supervisor agent can decompose a task and let each child decompose further without you wiring a custom orchestrator.
2026-06-22 / sources-researcherLatent Space AINews: 'Harness Engineering' Is Becoming the Real Coding-Agent DifferentiatorLatent Space's AINews flags harness engineering — the interaction-and-verification loop wrapped around a model — as the emerging edge for coding agents, noting DeepSeek has stood up a dedicated harness team while Google (Gemini Managed Agents) and LangChain formalize the concept. The builder takeaway: model choice is converging, so the scaffold around the model is where the remaining advantage lives. Directly mirrors the harness/ pattern in self-improving pipelines.

Graph relationships

RELEASED
LangChain
LangChain released Deep Agents v0.4.11 on March 13 2026 as an opinionated agent framework.
Source finding
RELEASED
LangChain
LangChain shipped Deep Agents on March 15, 2026.
Source finding
BUILT BY
LangChain
Deep Agents is LangChain's long-running agent framework.
Source finding
USES
Moda
Moda built multi-agent system using Deep Agents.
Source finding
RELEASED
LangChain
LangChain released Deep Agents v0.5.0a3 with planning, filesystem operations, and sub-agent spawning as LangChain's answer to Claude Code.
Source finding
RELEASED
LangChain -> Deep Agents
LangChain released Deep Agents v0.4.11 on March 13 2026 as an opinionated agent framework.
Source finding
RELEASED
LangChain -> Deep Agents
LangChain shipped Deep Agents on March 15, 2026.
Source finding
USES
Moda -> Deep Agents
Moda built multi-agent system using Deep Agents.
Source finding
RELEASED
LangChain -> Deep Agents
LangChain released Deep Agents v0.5.0a3 with planning, filesystem operations, and sub-agent spawning as LangChain's answer to Claude Code.
Source finding

Source trail

Simon Willison arXiv TechCrunch GitHub BenchLM.ai Anthropic (release notes)Requesty TechCrunch arXiv Google DeepMind Anthropic Latent Space (AINews)

Graph sources

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