Create
Creators
We lead public agentic AI libraries that developers and companies fork, extend, and run in production.
Open source
Agentic AI
Open-Source initiatives
We lead open-source agentic AI initiatives to share our expertise and support the worldwide developer community in building business solutions that solve problems once deemed unsolvable.
Our partners
How we contribute
Creators, supporters, and leaders in agentic AI
Vstorm engages in the open-source community as creators, supporters, and thought leaders in agentic AI and LLM fields.
Support
Supporters
We contribute upstream to frameworks such as Pydantic AI and LangChain — the same stack we ship for clients.
Lead
Thought leaders
25+ AI engineers publish patterns, examples, and tooling so the ecosystem moves faster than any single vendor roadmap.
Leading initiatives
Where our open-source work shows up
Foundation membership, upstream contributions, and libraries led by our engineers.
Agentic AI Foundation
Vstorm is the first AI consultancy accepted as a member of the Agentic AI Foundation — shaping how agents become reliable infrastructure.
Learn about AAIF Framework contributions
Active support for leading agentic AI frameworks — including Pydantic AI and LangChain — so client systems sit on audited, community-backed foundations.
Browse GitHub org Led initiatives
Public repositories used by AI teams worldwide — guardrails, sandboxes, orchestration, and context tooling built from real delivery work.
See repositories Companies and organizations that use our open-source software
In numbers
Our open-source initiatives in numbers
A global community of developers shares and uses Vstorm open-source projects when building their own agentic AI solutions.
3,700+
GitHub stars
Stars across public, non-forked repositories on github.com/vstorm-co.
30
Open-source projects we lead
Public libraries we build and maintain for the agentic AI ecosystem.
50k+
Developers using our libraries
Reach figure published on About us — downloads and forks across the ecosystem.
Open source
Our open-source projects
Check the initiatives and projects our engineers lead on github.com/vstorm-co — guardrails, sandboxes, orchestration, and context tooling from production work.
3,700+
GitHub stars across them
1,856 on full-stack-ai-agent-template alone
30
Libraries we build and maintain
Public, non-forked repositories
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Full-stack agents full-stack-ai-agent-template Full-stack AI app generator — FastAPI + Next.js with AI agents, RAG, streaming, and a production-minded starter layout. 1,856 stars View repo
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Deep agents pydantic-deepagents Open-source, self-hosted Claude Code — a terminal AI assistant and the Python framework behind it, built on Pydantic AI. 1,043 stars View repo
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File ops & sandboxing pydantic-ai-backend File storage and sandbox backends: console file tools, Docker-isolated execution, and permission presets for access control. 121 stars View repo
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Ecosystem list awesome-pydantic-ai An opinionated list of awesome Pydantic AI frameworks, libraries, software, and resources. 100 stars View repo
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Guardrails & safety pydantic-ai-shields Guardrails for Pydantic AI — cost tracking, prompt-injection detection, PII filtering, secret redaction, tool permissions. 92 stars View repo
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Agent memory memv Structured, temporal memory for AI agents. 90 stars View repo
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Trace visualization agentcanvas Visualize agent workflows from Logfire traces as an interactive diagram — tools, nested sub-agents, tokens, exact cost. 81 stars View repo
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Task planning pydantic-ai-todo Task planning and tracking toolset with hierarchical subtasks, PostgreSQL multi-tenancy, and an event system for webhooks. 76 stars View repo
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Context management summarization-pydantic-ai LLM-powered summarization or zero-cost sliding-window trimming for long-running conversations without context overflow. 71 stars View repo
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Large contexts pydantic-ai-rlm Handle extremely large contexts with any LLM provider. 63 stars View repo
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Multi-agent orchestration subagents-pydantic-ai Subagent delegation — nested subagents that spawn their own specialists on the fly, with sync/async/auto mode selection. 60 stars View repo
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Agent skills production-stack-skills Skill pack that turns any coding agent (Claude Code, Codex, AGENTS.md-compatible) into a production-stack coworker. 24 stars View repo
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Database toolset database-pydantic-ai Schema exploration, SQL queries, and data analysis with read-only mode, query validation, and row limits. 22 stars View repo
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Content skills content-skills Content studio skill pack for coding agents — blog, social, slides, video briefs. 21 stars View repo
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Community examples pydantic-ai-examples A community-maintained collection of Pydantic AI examples. 19 stars View repo
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Observability logfire-assistant AI-powered tool that helps you debug, analyze, and understand your application telemetry. 17 stars View repo
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Agent OS agenticos The operating system for your company's AI agents — self-hosted, open source. 11 stars View repo
From the blog
Read our blog posts
Notes from the engineers who maintain the repositories above.
Open Source
Adding Monty: a lightweight sandbox for model-written Python
Monty runs model-written Python without spinning up a container. Why we added it to the Full-Stack AI Agent Template, and where it stops.
Open Source
Pydantic Deep Agents vs LangChain Deep Agents: Which Python AI Agent Framework Should You Choose in 2026?
Two open-source Python frameworks for agents that run for hours, plan work and spawn subagents. Compared on architecture, control and production fit.
PydanticAI
Pydantic AI v2 and the road to production-grade agentic AI
On June 23, 2026, the Pydantic team shipped Pydantic AI v2, built around a single composable primitive: the capability. It bundles an…
FAQ
Frequently asked questions about open-source software
Why does Vstorm engage in open-source initiatives?
Open source means the source code is publicly accessible to inspect, modify, and enhance. In AI engineering, the way to stay at the forefront is to contribute transparent, reliable tools — the same foundations we use for client systems so nothing we ship depends on a black box.
Can I use OSS for commercial or for-profit projects?
Yes. Most open-source licenses (MIT, Apache 2.0, GPL) allow commercial use — products, services, or operations — without licensing fees. Follow the attribution requirements in each repository license file.
Is OSS secure enough for professional use?
Often yes — public code lets many eyes audit for vulnerabilities and patch faster. Security still depends on keeping versions current and following sound implementation practices.
Is OSS free to use?
Yes for licensing fees in most cases — but free means freedom to use, study, modify, and share, not always zero total cost. Some projects offer paid support or enterprise options; commercial use is usually allowed explicitly.
What does copyleft mean?
Copyleft requires derivative works to remain open under the same license. GPL is the classic example. It contrasts with permissive licenses such as Apache 2.0.
Is free software the same as OSS?
They overlap but differ in emphasis: free software prioritises user freedoms; OSS emphasises practical collaboration benefits. Most OSS qualifies as free software, but wording can differ.
Can I modify OSS?
Yes under most licenses for personal or commercial use. Redistribution often requires sharing changes under compatible terms. Upstream projects may also ask for contributor agreements.
What are contributor agreements?
Contracts where contributors grant maintainers rights to their code beyond the project license. They protect the project without removing openness — for example Apache CLA or dual-licensing setups.
Is OSS supported?
Support comes from communities, docs, forums, and paid vendors. Popular projects tend to have stronger ecosystems; our repos ship with READMEs and examples for production-minded teams.
Build on open foundations
Ready to see how agentic AI transforms business workflows?
Book a free consultation and see how we can support you in solving business problems — on the same open foundations our community uses.