A Reddit user reported benchmarking Qwen3.8 Flash Next IQ3_S with Strata/Basalt on an RTX 5080 with 16GB VRAM, an Intel Core Ultra 9 285K, 62GB DDR5-6800, 262K context and an int8 KV cache. In 103 opencode agent-coding requests with contexts up to 130K, it averaged 5,011 tok/s for prompt processing and 153 tok/s for generation. A 15K–207K context sweep averaged 5,475 tok/s for prompt processing and 154.9 tok/s for generation, with a peak of 5,662 tok/s and 186.6 tok/s, respectively. The agent test recorded a generation peak of 262 tok/s, the report’s best single second, exceeding the title’s “up to 250 tok/s” claim.
A senior software engineer said on Reddit that they built optimAIzr with Claude Code while seeking to reduce repeated-context costs in coding-agent usage. The creator says the free, open-source tool runs locally without accounts or prompt uploads, analyzes usage across Claude Code, Codex, and opencode, and can help verify savings. Their personal transcript analysis attributed 56% of API-equivalent costs to rereading context, with cache expiry accounting for $98.74 over 27 days, but the report provides no independent verification.
capy-flash v0.7.4 is a standalone local inference engine for Qwen3.8-27B and Qwen3.8-Flash-Next, designed around NVIDIA NVFP4 quantization and multi-GPU tensor parallelism. The author reports broader single-GPU support, persistent context caching, faster long-prompt processing, and compatibility with Claude Code, Codex CLI, and OpenCode; the post also includes local throughput benchmarks, but these results have not been independently verified.
OpenCode co-founder Dax Raas said an AI-driven attack against the AI coding platform began on October 16 and required staff to remain on duty around the clock. The report says founder Colin Parsons received 50 charge notifications after credentials stored on OpenCode were used to purchase Anthropic and OpenAI compute services, while spam flooded the platform's Discord support channel every two seconds. The broader “Black October” framing and claims about the wider scale of AI-assisted attacks remain unconfirmed.
Shandong University researchers Liu and Han compared Claude Code, OpenCode, and mini-SWE-agent while holding the language model constant. Most performance differences were similar to rerun noise, while the harnesses consumed two to three times as many tokens as the leanest option; OpenCode showed a significant deficit on the larger task pool. A small cross-check on Terminal-Bench 2.1 showed the same pattern.
The open-source book-to-skill project converts technical books, document folders, or source collections into structured Agent Skills for coding-agent hosts including GitHub Copilot CLI, Amp, Claude Code, Codex, Hermes Agent, OpenCode, and OpenClaw. According to its README, the tool extracts source material locally and organizes it into frameworks, decision rules, anti-patterns, a glossary, and per-chapter files that agents can load on demand. Its maintainers report using 24 to 51 times fewer tokens than placing an entire book in context for one question, although that measurement has not been independently verified.
A Reddit user quoted opencode output describing a system reminder that claimed a session had been idle and directed it to invoke a skill called “reminder idel-skills.” According to the quoted output, opencode treated the reminder as an injected artifact, ignored it, and continued the task; the report does not independently establish how the reminder entered the session.
Open Source China (开源中国) reports that DatI, described as a lightweight semantic gateway connecting AI agents to enterprise databases, has released a new version that publishes databases as semantic-aware MCP services with schema-level permission control. According to the product description, users connect a database, configure business semantics and enable preset and parameterized SQL tools to publish a Streamable HTTP-based MCP service, which can then be used by AI agents or MCP hosts such as OpenCode and WorkBuddy. The report does not give a version number or independent confirmation of the claims.
UnslothAI said it connected Beam to opencode and asked it to create a fine-tuning notebook for the smallest Gemma-4 model on a Text2SQL task, an out-of-distribution domain for Beam. According to UnslothAI, Beam researched model cards, Unsloth documentation and README files, implemented the fine-tuning logic, and raised Gemma’s accuracy by 66.5% on a held-out test set; these performance details were not independently verified.
OpenShell announced updates in its 0.1.x line, including a stable release cadence, new isolation primitives, an expanded extension surface, and new APIs. The project says its runtime runs each AI agent in an isolated sandbox, enforces policies on file, system-call, and network access, and limits credentials to approved endpoints. OpenShell also says formal verification flags risky access granted by proposed policy changes before approval.
An InfoQ article authorized for publication by 36Kr reviews vulnerabilities affecting GitLab, Chrome, Node.js, PHP, LiteLLM, eMudhra and Railway, alongside separate incidents involving AI-assisted attacks on Korean financial institutions and an AI agent reported to have deleted PocketOS’s production database and backup in nine seconds. The report says the listed vulnerabilities may not be technically related, does not establish a coordinated campaign, and does not claim that AI discovered every flaw.
A developer has released SOMA, a free, GPL-licensed desktop app that lets a coding agent such as Claude Code write CAD models as CadQuery Python code; the app rebuilds the model on every save and displays it in 3D, according to the author's Reddit post. The author says Claude runs in a normal terminal inside SOMA using the user's own Claude Code subscription and settings, and that the app also works with Codex, OpenCode and Gemini CLI. SOMA gives the agent a command-line interface to build models, measure distances, check collisions, run FEM and render images, and it includes an AGENTS.md with switchable skills for 3D printing, CNC and sheet metal. The author says builds exist for Windows, Mac and Linux but that testing has focused mainly on Windows, and the capability claims have not been independently verified.
KRAFTON AI has released Raon-1 mini, a 30B-A4B Mixture-of-Experts language model that the model card says was designed and trained from scratch by the company's AI lab. The model card, surfaced in a r/LocalLLaMA post linking a Hugging Face GGUF preview build, lists an Apache 2.0 license and highlights built-in thinking, instruction following and search, Korean and English ability, and tool calling for agentic workflows with Hermes Agent, Pi and OpenCode. KRAFTON's claims of leading results on math, science, instruction-following and search benchmarks are vendor-supplied and were not independently verified in the supplied material; the card also mentions a DFlash2 draft model for speculative decoding and MXFP8 and NVFP4 quantization, with NVFP4 said to allow inference on a single 32GB RTX 5090.
OpenCode, an open-source AI coding-agent tool, suffered a security incident on the evening of October 16, according to iThome, which cites multiple media reports. Attackers carried out a large-scale distillation attack after breaching a system slated for retirement, potentially obtaining third-party AI service API keys stored in some users' OpenCode Console workspaces and affecting about 1.4% of Console users, the report said. OpenCode emailed affected users and is working with OpenAI, Anthropic and Google; Anthropic and Google blocked suspected leaked keys, while OpenAI said it is helping users recover and refunding charges incurred during the attack. Users have reported unauthorized API requests, unexpected charges and projects suspended after Google detected anomalous activity.
Developer /u/3amae404 posted on r/OpenAI about Buddy, an Apache 2.0 open-source Android app that runs as a floating chat bubble: the user gives an instruction and Codex reads the screen and taps and types inside apps. According to the developer, Codex CLI runs in a small Linux environment inside the app without root or Termux, and the phone is exposed as MCP tools through Android's accessibility service; it signs in with the user's ChatGPT plan, and Claude Code and OpenCode also work. Anything that sends, posts or buys first shows an approval card, with the OK covering only that exact message, and unapproved notification replies wait in a list instead of going out.
MiniMax said the finished version of M3.1 Flash is now live on OpenCode and free there for three days, and confirmed that the anonymous model developers had been using under the name "Space Bunny" was M3.1 Flash. The company said that early build spent 12 consecutive days at No. 1 on OpenCode and served 106T tokens, claims that have not been independently verified.
Google Research has open-sourced Harness² (Recursive Agent Harnessing for an Open World) on GitHub under Apache 2.0, a framework that lets agents recursively rewrite their own harness — prompts, memory, tools, skills, subagents and other components — without changing model weights. Task-level recursion runs a Propose–Probe–Compose loop that keeps only edits supported by observed execution behavior and requires no ground truth, while a harnessing-level reflector saves adopted edits and lessons into an experience library for later tasks. The release supports OpenCode and Codex executors (OpenCode by default), and Google Research says it remains a research project rather than an officially supported product; Google's own benchmarks report one-step gains of up to 11.5 points on WorkBuddy-Bench, 4.5 on JobBench and 11.8 percentage points on LAB with GLM-5 and Gemini 3.5 Flash. DoNews noted that default network access is unrestricted and the Codex executor disables the sandbox, so formal evaluation needs network restrictions.
The akitaonrails/ai-memory project, trending on GitHub, describes itself as a long-term memory solution for AI coding agent CLIs that carries context between agents from different vendors. Its README says a user can quit Claude Code mid-task, start OpenAI Codex in the same directory and continue without re-explaining the architecture, failed approaches or open questions. It claims more than twenty harnesses feed one shared memory — including Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Grok, Devin, Kimi and Kiro — with memory stored as a git-backed wiki of plain Markdown files on a self-run server, plus multi-user auth and an audit log. These are the project's own claims and have not been independently evaluated.
OpenCode said attackers broke into an older system behind its OpenCode Console online service, potentially exposing third-party AI API keys stored in some workspaces and affecting about 1.4% of Console users, who were notified by email. The company described the incident as a large-scale distillation attack, a characterization some researchers and developers have questioned, and said it is working with OpenAI, Anthropic and Google; Anthropic and Google blocked suspected leaked keys, while OpenAI said it would help restore access and refund charges. Co-founder Dax Raad said attackers kept trying for about 48 hours and that AI models the team used for analysis began refusing requests when malicious code triggered safety filters, until OpenCode gained access to OpenAI's Daybreak Blue program; users reported unauthorized API charges from hundreds to about 1,700 dollars.
Volcano Engine has open-sourced OpenViking, a context database for AI agents that organizes knowledge, memories and skills into one virtual filesystem under the viking:// scheme, navigable with file-like operations such as ls, tree, read, write and grep. Each directory carries generated summaries in three tiers — an L0 one-sentence abstract, an L1 overview and L2 full content — so agents can judge relevance before loading details, and committing a session archives the conversation and extracts memories as editable Markdown. The project says version 0.3.22 was evaluated on LoCoMo long-conversation user memory and tau2-bench multi-turn agent tasks, and it ships a no-install browser Studio plus memory plugin installers for Claude Code, Codex, Cursor, TRAE and OpenCode.
The Pragmatic Engineer published an interview episode in which Uber Distinguished Engineer Uday Kiran Medisetty described the company's agent-oriented developer tooling. Uber built a Model Gateway in 2023 with the rule that everything built with AI must be model- and harness-agnostic, letting it switch between Anthropic, OpenAI and other vendor models as well as open models it runs; the gateway now also carries AI Guard, a security-team middleware, per-user spend tracking and audit logs. AIFX is a wrapper over harnesses including Claude Code, Codex and OpenCode that moves an engineer's settings, skills and plugins when they switch. The episode also covers code review, where AI review runs first and changes arrive with screenshots and risk scores, a tiered AI spend model with a CostCheck plugin and roughly 50% lower token costs in recent months, and an internal "code red" declared for CI after jobs more than doubled in 12 months. Medisetty said the tooling looked like a one-year build but rests on a decade of investment such as DevPods, created in 2017 and powering Minion, built in 2025.
The vercel-labs/skills project appeared on GitHub Trending as a command-line tool for what it calls the open agent skills ecosystem, invoked via npx skills. Its documentation says npx skills add can install skills from GitHub shorthand, full GitHub, GitLab or Azure Repos URLs, any git URL or a local path, while npx skills use generates a prompt without installing and can optionally launch a supported coding agent interactively with --agent. The listed targets include OpenCode, Claude Code, Codex and Cursor, and the project claims support for "75 more" agents, a count that comes from the project itself and was not independently verified. The docs also note anonymous usage telemetry that can be disabled with DISABLE_TELEMETRY or DO_NOT_TRACK, and the project is released under the MIT license.
Open-source China (开源中国) reports that OrcaTerm has been updated again, this time adding a Tmux session-persistence feature. The report describes splitting tmux into two panes inside OrcaTerm's local terminal, with OpenCode writing features on the left and Claude Code writing tests on the right, each working in separate directories so they do not edit the same file. It says the terminal can be closed while both agents are still processing, though the source text is truncated at that point regarding what happens on reopening; the report also states that OrcaTerm's current AI features offer free, unrestricted token usage and suggests users with daily coding and troubleshooting needs try it.
OpenCode 2.0, an open-source AI coding agent, has been officially released and is described by its vendor as a "major overhaul." OSChina reports that the new version lets models write scripts to schedule tools and turns the client/server model — previously used mainly by heavy users — into a persistent background service. The vendor also says the release draws on experience from millions of daily active users and aims to deliver a system that "scales to everything an agent needs"; those claims come from OpenCode itself.
A PyTorch blog post details how NVIDIA Dynamo turns request-level serving into program-aware serving using one session-level identifier, with child sessions carrying a parent_session_id. Dynamo recognizes the session headers that Claude Code, Codex and OpenCode already emit, while other harnesses opt in via X-Dynamo-Session-ID, and plugins exist for Hermes and OpenClaw. The post also covers session-aware routing and admission control (porting a scheduler from the ThunderAgent paper), a shared KV cache indexer, the Session-Prefix Indexer and proposed KvHint interface, plus DYN_REQUEST_TRACE=1 trace capture with AISimulate offline replay and AIPerf live benchmarking.
StepFun said its flagship model Step 5 Preview is free for one week in OpenCode, Cline, Kilo and Nous Research's Nous Portal for agentic and professional work. Material relayed by StepFun describes the model as a 600B-total, 27B-active MoE with a 1M-token context window and vision, and the OpenCode post also lists zero data retention. Nous Research is quoted as saying Step 5 Preview scored 33.89 on the Hermes Index, matching GPT-6 Luna, while Cline says it scores ahead of Kimi K3 and GLM-5.3 on DeepSWE; these benchmark comparisons are partner or vendor claims that have not been independently verified.
Uber has open-sourced ADR (Agentic AI Detection and Response), an enterprise security system for AI agents that is deployed in production at the company. The repository includes ADR Discovery, ADR Sensor, ADR-Bench and ADR Detector, which inventory AI apps, CLI agents, IDE extensions, local model runtimes and MCP servers on endpoints, and capture agent intent, tool use and execution traces from 7+ coding tools including Claude Code, Cursor, Codex, GitHub Copilot CLI, DeepSeek Harness, opencode, Claude Desktop and Gemini CLI. The project says ADR-Bench spans 304 tasks and 134 MCP servers across all 17 agent attack techniques; the ADR Prevention component and the ADR Explorer engine are not part of the open-source release, and an accompanying paper was accepted to MLSys 2026.
manaflow-ai's cmux is an open-source, GPL-licensed macOS terminal that renders via Ghostty's libghostty and is built natively in Swift/AppKit rather than Electron. Its sidebar provides vertical tabs showing git branch, linked PR status and number, working directory, listening ports and latest notification text, and it hooks into agents such as Claude Code and OpenCode through OSC 9/99/777 sequences and a cmux notify CLI, giving a waiting agent a blue pane ring and a lit-up tab. It also adds a scriptable in-app browser ported from agent-browser, workspaces with horizontal and vertical splits, a CLI and socket API for automation, and resume integrations for Claude Code, Codex, Gemini, Cursor CLI and others; it installs via DMG or Homebrew, with separate nightly builds.
Developer Addy Osmani has published agent-skills on GitHub, an open-source pack that encodes senior-engineering workflows, quality gates and best practices as 25 skills (24 lifecycle skills plus a meta-skill) mapped to six phases: DEFINE, PLAN, BUILD, VERIFY, REVIEW and SHIP, with nine slash commands such as /spec, /plan, /build, /test, /review and /ship. The repo says the pack installs via the npx skills CLI into 70+ agents including Claude Code, Cursor, Codex and GitHub Copilot, with native plugin and local install paths; its README also notes that installing a single skill skips the repo-level references/ checklists, a portability gap tracked in issue #361.
A The Information column frames the industry debate over why automation has not arrived even as OpenAI said its unreleased model solved or made major progress on hundreds of significant math and computer science problems. Cognition founder Scott Wu argued that ever-more-capable agents plus more data centers, memory and sandboxes will yield "virtual employees," while ex-OpenAI researcher Diogo Almeida, now at TypeSafe AI, maker of Jev, said today's LLMs are optimized for assistance and fail at unattended automation. Anthropic's Claude Code product lead Cat Wu conceded much automation stalls at a semi-automated stage where Claude does 80% and a human does 20%.
What problem it solves
The repository is archived and no longer maintained, with ongoing development continuing under the name Crush. Its archived implementation provided AI-assisted coding, debugging, and related terminal workflows.
Key features
Interactive Terminal Interface — OpenCode provides a terminal user interface for interacting with AI models and managing coding conversations.
Source: RE…
What problem it solves
Coding agents need a structured way to create, manage, and build from Google Stitch designs while integrating with the Stitch MCP server. The project organizes design, code generation, and supporting workflows into skills that can be installed with supported coding agents.
Key features
Design workflows — The design plugin covers converting frontend code into Stitch designs, …
What problem it solves
Making a game requires design documents, art, 3D models, video, code, testing, and publishing, often across several separate tools. OhMyGame brings these activities into one app where an agent can design a game, create its assets, build it, playtest it, and publish it.
Key features
Agent-driven game creation — The built-in agent drafts design documents, generates assets, wri…
What problem it solves
OpenPencil lets users describe UI in natural language and see it appear on an infinite canvas, then modify existing designs by selecting elements and chatting. It also lets multiple AI agents work on different sections of complex pages in parallel while keeping `.op` files human-readable, Git-friendly and diffable.
Key features
Prompt-to-canvas generation — Describe a UI in …
What problem it solves
Developers need a coding agent that can assist with development work while remaining inspectable and open source. The project addresses the need for configurable agents with different access levels, a straightforward installation path across platforms, and a way to explore codebases without modifying them.
Key features
Two built-in agents with different access levels — A def…
What problem it solves
AI coding agents lose context between sessions, so the same decisions get re-explained and nothing about the project is remembered. They also lack a shared workflow and evidence, leaving the human to read every line to confirm what was done. This project adds memory, a workflow, and evidence to agents you already have.
Key features
Persistent project memory with Engram — Eng…
What problem it solves
Developers need a consistent way to control locally configured coding agents across mobile, web, and desktop environments. T3 Code addresses this by providing multiple client applications, support for several agent providers, and remote access to a local server.
Key features
Control from mobile, web, and desktop — Use the mobile, web, or Electron-based desktop application to…
What problem it solves
Coding tools use different component formats, model names, permissions, and discovery rules. Contributors need a shared way to write reusable plugins, agents, skills, and commands once while producing compatible artifacts for each supported harness.
Key features
Multi-harness component support — One collection of plugins, agents, skills, and commands can be used across Claud…
What problem it solves
Coding agents often run with separate dashboards, billing units, and provider defaults, making usage difficult to attribute to an agent, model, or outcome. Teams also need to apply routing, permissions, cost controls, and observability without replacing the harness workflows developers already use.
Key features
Non-invasive agent discovery — The CLI detects supported coding-…
What problem it solves
AI coding assistants can generate interfaces with visual and structural patterns that feel machine-made, such as repetitive headings, empty sections, misplaced heroes, and forms that do not complete their intended action. Hallmark applies design constraints, product-aware page structures, browser-based linting, and fresh-context review to help generated interfaces look desig…
What problem it solves
Agent workflows, corrections, debugging patterns, and repository conventions often disappear when a session ends or remain trapped inside one coding tool. Beacon addresses this by capturing session history across harnesses and turning useful findings into reusable memory for future agents.
Key features
Cross-harness session history — Capture session history from Claude Code,…
What problem it solves
DeepSeek Harness workspaces, tools, and project setup normally remain tied to the computer running the Harness instance. The project addresses the need to continue using that environment from another computer, phone, or browser without requiring a public listening port or public IP on the Host.
Key features
Remote workspace access — Open local workspaces from a web browser, …
What problem it solves
Coding agents run in terminals that die when the client closes, the SSH connection drops, or a machine restarts, so long-running work is lost and the agent that needs attention is hard to find among many panes. Teams also lose sight of which pane is working, blocked, or idle across local and remote machines.
Key features
Detachable background runtime — Terminals keep running…
What problem it solves
AI coding agents often live in separate terminal sessions, lose context when those sessions end, and require repeated supervision. Teams need a shared workspace that connects assigned work, execution, decisions, and results while preserving human review before changes ship.
Key features
Agents as teammates — Create named AI agents with a provider and runtime, then assign the…
What problem it solves
Agent sessions often end without preserving the observations and project knowledge needed for continuity. Claude-Mem addresses this by capturing session activity, generating semantic summaries, and making relevant context available in later sessions.
Key features
Automatic session capture — Claude-Mem records tool usage and other session observations through lifecycle hooks …
What problem it solves
Coding agents can misunderstand requirements, use overly verbose terminology, work without sufficient feedback loops, and accelerate codebase complexity. These skills address those failure modes with repeatable practices that preserve developer control over the engineering process.
Key features
Requirements alignment — Grilling workflows ask detailed questions about a propos…
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