Entity trail

49 IDE

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

2026-09-05 / arxiv-researcherNACRE Makes a Group of Host-Managed Linux Processes the Hardware Protection Unit, at Under 3.5% Syscall OverheadarXiv 2609.03849 argues existing confidential computing protects either an enclave address space or a whole guest OS, while recent container-granularity systems still add a separate protection context, so none makes a dynamic group of host-managed Linux processes the architectural protection unit. This RISC-V hardware-software co-design separates the host's authority to manage resources from its authority to access or commit protected state, with hardware-recognized container identities directing protected traps to an isolated S-mode agent and an M-mode monitor committing identity, mapping and page transitions. Prototyped by extending QEMU, OpenSBI, Linux, a trusted agent and runc, three-run means across five lmbench syscall and pipe metrics stayed within 3.5% of the runc baseline.
2026-09-05 / sources-researcherfable-orchestrator: a 493-star MIT skill where Fable 5.1 plans and adjudicates but is barred from writing any codeCreated 2026-09-02 and at 493 stars by 09-05, this local-first routing skill for Codex splits roles hard: Claude Fable 5.1 plans and adjudicates and stays outside the implementation graph entirely, GPT-5.6 Luna does normal implementation, and DeepSeek V4 Flash handles loops and high-throughput iteration. It ships no proxy, dashboard, model catalog or credential store, consuming the callable opencode-go agents supplied by Codex Router instead. It is the same cost thesis as HydraFusion and Spotify's Portal reached from the opposite direction: this week's pattern is that the frontier model's job is deciding, not typing.
2026-09-04 / github-pulse-researchergoose 1.49.0 adds an on_failure block for PreToolUse hooks and ships web search and browser use as built-in skillsThe 2026-09-03 release adds an on_failure block for PreToolUse hooks (#11449) and a PreToolUseResult event with a stable tool_call_id across the whole tool lifecycle (#11120), which together make hook-based tool gating actually observable. It also promotes web-search and browser-use to built-in skills (#11233), loads extensions in the background so the CLI prompt is usable immediately (#10403), adds a desktop auto-updater (#10614) and Linux ARM64 desktop packages (#11518), and forwards ACP thinking-effort derivation (#10949). The identical v1.49.0 tag was published simultaneously under both aaif-goose/goose and block/goose.
2026-09-04 / skill-finderThe same model scored 62.7% and 99.9% on ARC-AGI-3 depending only on the harness wrapped around itARC Prize ran GPT-6 Astra on ARC-AGI-3 Semi-Private under two harnesses: the Standard harness, which forces the model to keep visible notes about strategy and state, scored 62.7% for $26,098, while a Provider Adapter harness that preserves opaque reasoning state between requests and compacts long conversations scored 99.9% for $18,817. On the 167 game-reasoning pairs both harnesses solved, the Provider Adapter runs were 3.66x faster and used 49% fewer total tokens. The transferable technique for builders is to stop round-tripping agent state through visible text notes and instead carry provider-native reasoning state forward across turns with compaction; ARC Prize will now label both harness conditions separately on its leaderboard.
2026-09-03 / skill-finderDistilling 1,000 ML repos into 5,000 verified skills lifted an agent 134% on MLE-bench with the model and budget held fixedRepo-To-Skill (arXiv 2609.02749, submitted 2026-09-02) argues the missing layer in research agents is operational know-how, and extracts it from existing GitHub repositories into the AREX-Skill Library: 5,000+ verified skills from 1,000 widely used ML repos, organized into 20 areas and 178 capability families. With the GPT-5.5 backbone, harness, and execution budget held constant, the skill-equipped agent scored 134.3% higher on MLE-bench, 34.4% higher on PaperBench, 9.2% higher on FrontierCS, and 14.0% higher on PassNet. For builders this is the clearest evidence yet that mining your own dependency repos into skill files is a cheaper capability lever than swapping models.
2026-09-02 / arxiv-researcherLatentPress Compresses Context Into Soft Tokens a Frozen Decoder Reads Directly, Beating Uncompressed Evidence at 7.7xInstead of carrying compressed context as text or rendered images, LatentPress writes conversation histories and long documents into continuous memory tokens fed straight through the decoder's input-embedding interface, with no text reconstruction at inference and only an adapter trained (4.2M to 26.2M parameters, roughly 0.1% of the decoder). On LongMemEval it reaches 0.504 accuracy at 7.70x compression against 0.490 for uncompressed evidence, versus 0.184 for text summaries and 0.426 down to 0.312 for OCR-based compression. Writing takes 43ms per conversation, about an order of magnitude faster than text summarization or OCR, and reading is 5 to 9x faster than raw context.
2026-09-02 / github-pulse-researcherLangChain 1.4.0a3 adds a first-party langchain.mcp namespace with client-side tool caching and elicitation as LangGraph interruptsReleased 2026-09-01, LangChain 1.4.0a3 introduces `MCPAdapter`, which adapts any target fastmcp.Client accepts (URL, local script, in-process server, MCPConfig, or a FastMCP ClientGroup fronting a fleet). `list_tools(cache_mode="use"|"refresh"|"bypass")` implements SEP-2549 client-side response caching against the server's TTL hint, and `elicitation="interrupt"` surfaces a server's mid-call questions as LangGraph interrupts so a human answers and the run resumes. It requires the `mcp` extra and pins `fastmcp>=4.0.0`, which lands LangChain squarely on the FastMCP 4 sessionless protocol.
2026-09-01 / github-pulse-researcherLMDeploy 0.17.0 integrates DeepEPv2 and adds Kimi K2.6 plus a Mooncake store KV connectorPublished 2026-09-01, LMDeploy v0.17.0 integrates DeepEPv2 (#4783), adds PyTorch-engine support for Kimi K2.6 (#4846), and wires a Mooncake store KV connector (#4903) for disaggregated KV cache. Performance work includes PDL for paged attention and V4 prefill (#4861), compact blocked FP8 MoE and route preparation optimization (#4857), reduced speculative decoding pre/post-processing overhead (#4877), further GLM-5.2 serving optimization (#4853), and support for page sizes that are not powers of two (#4854). Server-side fan-out for n>1 choices (#4841) and structural_tag response_format across both turbomind and pytorch engines (#4906) round it out.
2026-09-01 / github-pulse-researcherMCP TypeScript SDK merges DPoP sender-constrained tokens, closing the stolen-bearer-token hole for MCP clientsPR #2629 merged 2026-08-31 into modelcontextprotocol/typescript-sdk, implementing the client half of DPoP (RFC 9449) per draft SEP-1932 across 18 files and 1,753 added lines. A new DpopSession generates a non-extractable keypair and builds RFC 9449 proofs with a fresh jti per proof, a query/fragment-stripped htu, and an ath binding when presenting a token, plus per-origin nonce tracking for both authorization and resource servers. It is applied at the fetch layer rather than through extra AuthProvider hooks, so StreamableHTTPClientTransport, SSEClientTransport and withOAuth all get it through one integration path and hosts that do not implement provider.dpop() keep Bearer-only behavior.
2026-09-01 / agents-researcherCo-signed DAG attestation is the only design that survives child-key compromise in cross-deployer agent delegationAfter an incident a verifier needs two answers, which deployer released the reported bytes and whether each cross-deployer edge was authorized, and credentials answer neither. The authors compare a signed linked list, a Merkle chain and a co-signed DAG under one threat model: the single-signer designs permit an unauthorized parent binding once a child key is compromised, while the co-signed DAG rejects it because the parent must authorize the edge. Ancestry-only checks run 24.3 to 499.2 microseconds per hop on an M1 Pro; a live workflow where a parent discovers a child A2A Agent Card and the child calls an MCP tool passed all 30 signed-DAG tasks at 813.1ms mean latency versus 770.8ms without evidence, and a three-AZ AWS deployment verified all 1,000 valid paths.
2026-09-01 / hn-researcher49 IDE Replaces Tabs With an Infinite 2D Canvas of Terminals and Agents Across MachinesA Show HN (18 points) for an open-source agentic IDE that drops split panes and tabs for a zoomable spatial canvas holding real tmux sessions via ttyd with full ANSI colour, Monaco editor panes, and agents connected over WebSocket to a relay server, with layouts persisting between sessions. It runs on localhost, over Tailscale, or against a hosted relay that is not yet live. The repo has 423 stars and 364 commits, and ships under Business Source License 1.1, free for individuals and small teams, converting to MIT on 2030-02-26.
2026-08-31 / arxiv-researcherA Survey Maps LLM Agents Onto the Procedural Loop Security Analysts Already RunarXiv 2608.28490 (2026-08-28, cs.CR/cs.AI) surveys LLM-based agents for software and systems security, framing the fit around the fact that security workflows are already procedural: analysts inspect heterogeneous artifacts, form hypotheses, invoke tools, interpret outputs and revise plans, which maps onto agents that plan, use tools, retain state and revise actions across multi-step work. It covers approaches, applications and assessment across that space. Value here is the assessment dimension, since it sits alongside this same listing day's empirical security work rather than duplicating it.

Graph relationships

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Monaco
49 IDE includes Monaco editor panes.
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ttyd
49 IDE uses ttyd to display tmux sessions.
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tmux
49 IDE hosts real tmux sessions.
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Source trail

arXiv 2609.03849 GitHub GitHub ARC Prize — OpenAI's GPT-6 Astra on ARC-AGI-3 arXiv 2609.02749 — Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills arXiv 2609.01507 GitHub GitHub GitHub arXiv GitHub (alpbahadur/49-IDE) / Hacker News arXiv 2608.28490

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