---
title: "Open Source"
description: "568 posts about Open Source, summarised, each linking to the original."
---

# Open Source
> 568 posts about Open Source, summarised, each linking to the original.

## Articles

### [Build On-Device AI Companions with the NVIDIA ACE Game Agent SDK and Unreal Engine 5 Plugins](https://yomu.fyi/post/build-on-device-ai-companions-with-the-nvidia-ace-game-agent-sdk-and-u.md)
- Company: [NVIDIA](https://yomu.fyi/company/nvidia-developer-blog.md)
- Author: Phillip Singh
- Published: Jun 16, 2026
- Type: Announcement

Game developers integrating on-device artificial intelligence companions face challenges such as conversational latency, state synchronization, and loop prevention. NVIDIA announced the open-source ACE Game Agent SDK alongside a suite of Unreal Engine 5 plugins to streamline native, hardware-accelerated character pipelines. The SDK offers Agent, Chat, and RAG APIs, enabling characters to execute multi-step tool-assisted reasoning and query game databases. Unreal Engine 5 plugins introduce local runtime models including nemo-conformer-ctc-120m for speech recognition, Qwen 3.5 4B for language generation, and Chatterbox Turbo 350M for speech synthesis. Additional tooling expands to motion generation via Animotive Kimodo and rendering updates with the DLSS 4.5 Unreal Engine plugin.


### [What a difference 10 years of open source makes](https://yomu.fyi/post/what-a-difference-10-years-of-open-source-makes.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 16, 2026
- Type: Explainer

ClickHouse marks ten years since becoming open source under the Apache 2.0 license, crediting more than 2,600 contributors and a decade of monthly releases for its growth into one of the world’s most widely deployed analytical databases. Recent engineering work spans joins, updates and deletes, JSON, full-text search, vector search, query acceleration, integrations, and developer tooling. Join-focused changes made the TPC-H SF100 workload 26× faster between versions 22.4 and 26.4, while statistics-based reordering reduced one six-table query from 3,903.7 seconds to 2.7 seconds. The project also publishes open benchmarks, including ClickBench, JSONBench, CostBench, and PostgresBench, with scripts, configurations, data, and results intended for independent validation. Its next phase continues to emphasize community contributions and broader ways to use ClickHouse.


### [From hobby to real world: integrating the hard stuff with agents](https://yomu.fyi/post/from-hobby-to-real-world-integrating-the-hard-stuff-with-agents.md)
- Company: [Stripe](https://yomu.fyi/company/stripe.md)
- Author: Anna Spysz
- Published: Jun 16, 2026
- Type: Tutorial

The post documents building a production-oriented leaderboard for open-source Stripe Projects applications, where users submit projects, share links, and vote. Unlike an earlier transcription app, this project required authentication, multiple database tables, hosting, and controls limiting unauthenticated users to one vote per project. The agent initially selected Supabase for database and auth and Vercel for hosting, then added Upstash Redis after an in-memory rate limiter proved unsuitable for serverless enforcement. Supabase's two-emails-per-hour authentication limit prompted a human-directed migration to Clerk, after the agent proposed an unsuitable Twilio solution. The resulting MVP used five resources across four providers, took more than a day, and received separate security and performance audits before review.


### [Ten years of ClickHouse in open source](https://yomu.fyi/post/ten-years-of-clickhouse-in-open-source.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 15, 2026
- Type: Explainer

ClickHouse’s tenth-anniversary history describes its path from an internal web-analytics experiment to an open-source analytical database with more than 2,000 contributors. The original problem was processing rapidly growing, real-time logs while answering flexible reports quickly; tested MySQL extensions and standalone analytical databases did not meet the stated scale of 100 billion records per day and 500 columns. The project built column-oriented storage, lightweight compression, custom aggregation structures, background merges, and query support for grouping, aggregation, filtering, and sorting. Released publicly on June 15, 2016, ClickHouse is presented as a level-three open-source project with public contribution guidelines, code review, testing, CI, documentation, and a roadmap, while contributors receive credit even when implementations are substantially rewritten.


### [How API changes flow into Stripe's developer products](https://yomu.fyi/post/how-api-changes-flow-into-stripe-s-developer-products.md)
- Company: [Stripe](https://yomu.fyi/company/stripe.md)
- Author: Mikael Mello
- Published: Jun 15, 2026
- Type: Explainer

Stripe describes how API changes are propagated across its developer-product suite, including SDKs in seven languages and three release channels, the CLI, Shell, API Explorer, API Reference, changelog, and internal tools. Historically, v1 workflows used OpenAPI or a Ruby-based DSL while v2 APIs used protobuf-based DSLs and an internal API specification, forcing teams to maintain parallel generators and leaving some products without v2 support. Stripe chose OpenAPI as a shared representation and built a pipeline whose generated artifacts are tailored by variant, release phase, and API version, with vendor extensions carrying Stripe-specific metadata. Automated validation, OpenAPI diffs, pre-release comparisons, versioned snapshots, and downstream publishing now connect API definition changes to documentation, code samples, SDK and CLI releases, while older v1 versions remain difficult to regenerate with newly added metadata.


### [Introducing Omnigent: A Meta-Harness to Combine, Control and Share Your Agents](https://yomu.fyi/post/introducing-omnigent-a-meta-harness-to-combine-control-and-share-your.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Matei Zaharia, Kasey Uhlenhuth, Corey Zumar
- Published: Jun 13, 2026
- Type: Announcement

Omnigent is an open-source meta-harness designed to combine, control, and share agents across different harnesses, models, and interfaces. Databricks says users currently juggle multiple agents and copy context between them, while builders struggle to combine or replace harnesses with incompatible interfaces. Its runner wraps terminal-based agents and SDKs in sandboxed sessions with a uniform API for messages, files, streamed text, and tool calls; a server adds policies, sharing, and access through terminal, web, mobile, native Mac OS, and APIs. Features include live collaboration, hosted sandbox execution, contextual security and cost policies, OS isolation, and multi-harness authoring. Released in alpha under Apache 2.0, Omnigent is intended to provide a durable layer above changing agents and harnesses.


### [Building ClickCannon - a tool for benchmarking ClickHouse](https://yomu.fyi/post/building-clickcannon-a-tool-for-benchmarking-clickhouse.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 11, 2026
- Type: Benchmark

ClickCannon was created to answer how much CPU, memory, and disk are needed for ClickStack observability workloads, while accounting for schema, ingestion rate, hardware, and concurrent queries. It replays about 2 TiB of real OpenTelemetry trace data, converted to ClickHouse Native format with ZSTD compression, rather than relying only on synthetic datasets. A custom multithreaded Go reader/inserter provides control over uncompressed throughput and exposes stream metrics such as compressed and uncompressed bytes, row counts, and block counts, while the framework simulates users and query workloads during ingestion. The project evolved into an open-source, generic ClickHouse benchmarking tool for custom insert and query workloads, with fine-grained control over throughput, concurrency, and user behavior; the post reports that it can push substantial throughput from a single machine.


### [EC2’s formally verified “isolation engine” provides mathematical assurance of virtual-machine isolation](https://yomu.fyi/post/ec2-8217-s-formally-verified-8220-isolation-engine-8221-provides-mathe.md)
- Company: amazon.science
- Author: Dominic Mulligan, Nathan Chong
- Published: Jun 10, 2026
- Type: Announcement

AWS has introduced M9g and M9gd EC2 instances powered by Graviton5 CPUs, featuring the formally verified Nitro Isolation Engine to enforce virtual machine isolation. To prove the engine's correctness, engineers developed 330,000 lines of machine-checked mathematics using the Isabelle/HOL proof assistant. The system architecture separates hypervisor policy from isolation mechanisms, requiring the deprivileged Nitro Hypervisor to route all guest state modifications through the minimal Rust-based engine. Functional verification uses a restricted language subset called micro Rust, Separation Logic contracts specifying total correctness, and weakest-precondition calculus from the open-source AutoCorrode library. Finally, high-level transition relations and noninterference proofs ensure that memory integrity and guest confidentiality are preserved across every execution step.


### [ClickHouse Agents: Claude-powered agentic analytics, now in public beta](https://yomu.fyi/post/clickhouse-agents-claude-powered-agentic-analytics-now-in-public-beta.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 9, 2026
- Type: Announcement

ClickHouse announced the public beta of ClickHouse Agents, a fully managed agentic analytics service in ClickHouse Cloud powered by Claude. It provides a no-code builder for agents grounded in live ClickHouse data, plus a managed chat experience in the Cloud console, so users need no SQL or separate hosting setup. Built on LibreChat, the service supports natural-language questions, SQL and visualizations, sandboxed Bash, Python, and JavaScript execution, shareable artifacts, skills, memories, MCP-compatible connections, and multi-agent workflows. Claude Sonnet and Haiku are pre-configured, while enterprise controls include SSO, encrypted message storage, and governed data access. ClickHouse says its internal deployment handles roughly 70% of data warehouse queries and processes more than 45 million tokens daily, confirming its view that real-time analytics is a natural context for high-volume agent workloads.


### [How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces](https://yomu.fyi/post/how-an-agent-built-a-3d-paris-gallery-by-chaining-two-hugging-face-spa.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Mishig Davaadorj
- Published: Jun 9, 2026
- Type: Explainer

A coding agent built a 3D Paris gallery by chaining two Hugging Face Spaces: an image-generation Space produced dark-background monument images, and VAST-AI/TripoSplat reconstructed each single image as a 3D Gaussian splat. It then handled integration work by correcting the splats’ Y-down orientation, auto-framing monuments, compressing .ply files to .ksplat at about one-third the size, and building and deploying a static Three.js viewer. The Spaces’ agents.md files provided schemas, call and polling templates, file-upload instructions, and authentication guidance, allowing the agent to call them without a client library. The same pipeline produced six-monument galleries for Egypt and Japan after the prompts changed. The account presents callable, documented multimedia components as a way to reduce integration work and make new multimedia applications cheaper to create.


### [Bridging intent and execution in agentic systems](https://yomu.fyi/post/bridging-intent-and-execution-in-agentic-systems.md)
- Company: amazon.science
- Author: Gaurav Gupta, Vatshank Chaturvedi
- Published: Jun 8, 2026
- Type: Problem & solution

AI agent performance increasingly depends on the harness mediating interactions between language models and tools rather than raw model reasoning. To address mismatches between model intent and harness execution, the authors developed Simple Strands Agent, an open-source single-agent harness. The architecture implements robust tool-interface practices, such as condensing middle log outputs from bash commands, enforcing line-aware string replacements with ambiguity checks, and returning diff files after edits for verification. Evaluated across benchmarks like SWE-Bench-Verified, SWE-Bench-Pro, and Terminal-Bench 2, these model-harness alignments yielded consistent performance gains across frontier models without task-specific tuning. The findings show that model families require tailored interface codesign alongside stable evaluation infrastructure to achieve optimal benchmark reliability.


### [Works on my machine: how we use AI to reproduce reported bugs](https://yomu.fyi/post/works-on-my-machine-how-we-use-ai-to-reproduce-reported-bugs.md)
- Company: [Sentry](https://yomu.fyi/company/sentry.md)
- Author: Neel Shah
- Published: Jun 8, 2026
- Type: Problem & solution

Sentry maintains 159 open-source SDK packages across multiple languages, leading to high triage volume and significant boilerplate setup overhead when reproducing reported bugs. To streamline this workflow, the team developed a Claude skill that parses GitHub issue URLs to extract language, framework, and SDK versions. The skill generates a reproduction branch, sets up minimal boilerplate using ecosystem package managers like uv or npm, attempts execution, and opens a pull request with explicit run instructions. By allowing the model to exit early when encountering overly complex environments, the tool reliably prepares reproducible playgrounds without stumbling on edge cases. This workflow saved several hours in testing scenarios like Django HTTPS proxy bugs while avoiding excessive bot noise through scoped human interaction.


### [The Open Source Community is backing OpenEnv for Agentic RL](https://yomu.fyi/post/the-open-source-community-is-backing-openenv-for-agentic-rl.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: ben burtenshaw, Joseph Spisak, Lysandre, Davide Testuggine, will brown, Joy Liu, Peyton Walters, Chris Wing, Daniel (Unsloth), Andrew Zhou, Govind Kamtamneni, Michael Han, Hamid Shojanazeri, Sanyam Bhutani, Zach Wentz, Emre Guven, Lewis Tunstall, Sergio Paniego, Banghua Zhu, Haoguang Cai
- Published: Jun 8, 2026
- Type: Announcement

OpenEnv is becoming a community-coordinated, open-source tool for building agentic execution environments such as terminals and browsers, with the stated goal of helping train open-source agents. Starting now, a committee including Meta-PyTorch, Reflection, Unsloth, Modal, Prime Intellect, Nvidia, Mercor, Fleet AI, Microsoft, Hugging Face, and RadixArk will coordinate the project, which now lives at huggingface/OpenEnv and is supported or adopted by numerous AI organizations. Technically, OpenEnv is being narrowed to an interoperability and protocol layer: environments expose a Gymnasium-style reset(), step(), and state() API through client/server deployments, standard HTTP or WebSocket protocols, Docker packaging, and MCP compatibility. It does not define rewards or training loops; those remain in specialized libraries, while OpenEnv connects harnesses, environments, and trainers across ecosystems. Planned work includes external rewards, dataset-backed tasksets, harness integrations, end-to-end examples, and automatic environment validation.


### [ClickHouse appoints new leader for Asia Pacific and expands global go-to-market leadership team](https://yomu.fyi/post/clickhouse-appoints-new-leader-for-asia-pacific-and-expands-global-go.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 8, 2026
- Type: Announcement

ClickHouse announced an expansion of its global go-to-market leadership team, appointing Ed Lenta as Vice President, Asia Pacific and Japan (APJ). Based in Singapore, Lenta will lead regional go-to-market efforts and accelerate adoption of ClickHouse Cloud and the open-source database, following leadership roles at Databricks, AWS, and VMware. The company also appointed Takeshi Kaneko as Country Manager of Japan and added executives for financial services, public sector, global solutions architecture, and revenue strategy and operations. ClickHouse said the appointments support its growth after surpassing $250 million in annual run-rate revenue, more than triple the prior year, and exceeding 4,000 customers, including more than 1,000 net new customers in one quarter.


### [Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI](https://yomu.fyi/post/nemotron-3-5-content-safety-customizable-multimodal-safety-for-global.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Varun Singh, Isabel Hulseman, Anuj Doshi, Shyamala Prayaga
- Published: Jun 4, 2026
- Type: Announcement

Nemotron 3.5 Content Safety is NVIDIA’s 4B-parameter model for evaluating user prompts, optional images, and optional assistant responses together, with multilingual coverage and enterprise-specific policy enforcement. It extends Nemotron 3 by accepting natural-language custom policies, producing optional auditable reasoning traces, and supporting binary verdicts, category-labelled verdicts, or THINK mode; disabling THINK preserves the default low-latency path. Built on Google Gemma 3 4B IT with a LoRA adapter and a 128K context window, it uses the Aegis 2.0 taxonomy of 13 core categories and 10 subcategories, and targets deployment on GPUs with 8GB or more of VRAM. The accompanying multimodal, multilingual dataset includes concise reasoning traces, while reported results average 96.5% on Multilingual Aegis, 88.8% on RTP-LX, and about 85% across the evaluated benchmark set.


### [Multigres v0.1 Alpha: an operating system for Postgres](https://yomu.fyi/post/multigres-v0-1-alpha-an-operating-system-for-postgres.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: sugu\_sougoumarane
- Published: Jun 4, 2026
- Type: Announcement

Multigres v0.1 alpha is an open-source release of a system intended to provide Vitess-grade horizontal scaling, high availability, and operational simplicity for Postgres. It manages Postgres instances with sharding, connection pooling, automatic failover, and backup orchestration, while this release adds advanced pooling, automatic failovers, and a Kubernetes operator. Its high-availability protocol builds on unmodified Postgres replication, supports user-defined durability policies, resolves split-brain scenarios without losing succeeded commits, and permits replica changes while running. The release is suitable for experimentation but not production workloads: v0.1 is single-shard, sharding is absent, the custom-resource API may change, backward compatibility is not guaranteed, and performance benchmarks are still in progress.


### [Supabase Series F](https://yomu.fyi/post/supabase-series-f.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: paul\_copplestone
- Published: Jun 4, 2026
- Type: Announcement

Supabase has raised a $500M Series F at a $10B pre-money valuation, led by GIC. Existing investors participated, Stripe invested again, and Georgian and Salesforce Ventures joined as new investors; the funding will accelerate open-source and Postgres tooling, support growth, and provide employee liquidity. Supabase is also releasing Multigres v0.1 alpha, an open-source, self-hostable scalable operating system for Postgres designed to provide high availability and operational simplicity; a future release is intended to add Vitess-grade horizontal scaling. The alpha is ready to try but not production-ready, with production-readiness expected in a few months. Over the past year, database launches grew 600%, more than 60% of new databases came from AI tools, and nearly 10 million developers built on Supabase.


### [Click-a-thon 2026: 24 hours, Bengaluru, and the fastest analytical database on the planet](https://yomu.fyi/post/click-a-thon-2026-24-hours-bengaluru-and-the-fastest-analytical-databa.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 4, 2026
- Type: Announcement

ClickHouse announces Click-a-thon 2026, its first in-person hackathon in India, scheduled for Bengaluru on August 1–2, 2026. The event invites working tech professionals to form teams of two to four for a 24-hour build with four tracks—Real-Time Analytics, Observability, Data Warehousing, and Agentic AI and Analytics—and a ₹10,00,000 prize pool. Its stated purpose is to bring developers together to build practical systems under tight constraints and experiment with ClickHouse alongside modern open-source tools. The post points to ClickStack for observability, Langfuse for LLM tracing and evaluation, and LibreChat for model and agent interfaces, while describing combinations such as streaming ingestion, materialized views, projections, analytical queries, and tool-using agents over data. Applications close June 25, with shortlists planned for the first week of July; the team captain applies on behalf of the team.


### [Expanding Project Glasswing](https://yomu.fyi/post/expanding-project-glasswing.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Jun 2, 2026
- Type: Announcement

Project Glasswing is expanding its collaboration from roughly 50 initial partners to approximately 150 new organizations across more than 15 countries. These partners must meet security requirements, and many operate critical infrastructure or maintain software used widely, with a major attack estimated to affect more than 100 million people for most. The program follows partners’ use of Claude Mythos Preview to scan codebases, finding more than 10,000 high- or critical-severity flaws, while some now use it to write patches and run pre-release checks. Its broader purpose is to help defenders adapt to powerful cyber models by providing tools and infrastructure, then shifting support toward disclosure, fixing, and deployment of patched software. General access will require safeguards against misuse that have yet to be developed.


### [Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains](https://yomu.fyi/post/introducing-mellum2-a-12b-mixture-of-experts-model-by-jetbrains.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Nikita Pavlichenko
- Published: Jun 1, 2026
- Type: Announcement

JetBrains is releasing Mellum2, a 12B-parameter Mixture-of-Experts model trained from scratch on natural language and code. It targets latency-sensitive, high-throughput workloads including routing, retrieval-augmented generation (RAG), summarization, sub-agents, and coding features. The model has 12B total parameters but activates 2.5B per token, with its architecture keeping total capacity high while making inference more efficient for real-time use. Released under the Apache 2.0 license, Mellum2 is described as competitive with similarly sized open models on code generation, reasoning, science, and math benchmarks while delivering more than 2x faster inference. Its text-and-code focus supports high-throughput production workloads and private deployments where proprietary code or internal data may be involved.


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