NEARCON Innovation Sandbox is starting soon.
A global, virtual-first builder sprint running Jan 26 β Feb 16, designed to help teams move beyond experiments and prepare for mainnet deploymentπ¨βπ»
Focus areas: decentralized AI, privacy-preserving consumer apps, and intent-driven commerce.
Builders will work with NEARβs stack and receive hands-on technical support through virtual workshops and DevRel office hours, focused on implementation and troubleshooting.
β‘οΈ Selected projects will be presented at NEARCON in San Francisco (Feb 23β24)
β‘οΈ Prizes: up to $15,000
Details and registration hereπ
π¦ Channel | Chat | LinkTree
A global, virtual-first builder sprint running Jan 26 β Feb 16, designed to help teams move beyond experiments and prepare for mainnet deployment
Focus areas: decentralized AI, privacy-preserving consumer apps, and intent-driven commerce.
Builders will work with NEARβs stack and receive hands-on technical support through virtual workshops and DevRel office hours, focused on implementation and troubleshooting.
Details and registration here
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β€7π₯2
β οΈ Heads-up: possible increase of function call gas limit β οΈ
Weβve received information about a potential change to increase the maximum gas that can be attached to certain function calls from 300 TGas to 1000 TGas (1 PGas).
While this change aims to improve flexibility for more complex calls, a possible compatibility issue was highlighted:
π‘ Some existing contracts may have callbacks that rely on a hardcoded gas assumption (e.g. 300 TGas)
π‘ If more gas is attached to the original call, such callbacks could receive more gas than expected
π‘ This may lead to unexpected behavior in contracts that depend on strict gas limits
At this stage, we are collecting feedback from developers to better understand whether this change could affect existing contractsβοΈ
Please share your thoughts if:
π‘ Your callbacks assume a fixed gas limit
π‘ Your contract logic depends on gas-based assumptions
π‘ You see any potential risks if callbacks are executed with more than 300 TGas
Any insights or examples would be very helpful.
Thanks in advance for your feedbackπ
π¦ Channel | Chat | LinkTree
Weβve received information about a potential change to increase the maximum gas that can be attached to certain function calls from 300 TGas to 1000 TGas (1 PGas).
While this change aims to improve flexibility for more complex calls, a possible compatibility issue was highlighted:
At this stage, we are collecting feedback from developers to better understand whether this change could affect existing contracts
Please share your thoughts if:
Any insights or examples would be very helpful.
Thanks in advance for your feedback
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π6π₯2
In case you missed π¨
β¨ near-api-js v7.0.0 has been released β¨
Key changes:
β‘οΈ Core functionality is now consolidated into a single
β‘οΈ Explicit unit helpers:
β‘οΈ Built-in subpaths without extra dependencies:
β‘οΈ Improved parallel transaction handling with automatic nonce management and
Why it matters:
Less fragmentation, clearer primitives, and fewer edge cases when building real applications. Breaking changes are minimal, migration from v6 (and even v5) should be simpleβ
For details, see the release notes and the threadπ₯
π¦ Channel | Chat | LinkTree
Key changes:
near-api-js packagenearToYocto, yoctoToNear, teraToGas, gigaToGastokens, nep413, seedPhraseMultiKeySignerWhy it matters:
Less fragmentation, clearer primitives, and fewer edge cases when building real applications. Breaking changes are minimal, migration from v6 (and even v5) should be simple
For details, see the release notes and the thread
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β€11π₯2
Rust dev tools on NEAR are being reworked πββοΈ
NEAR is reshaping its Rust tooling to reduce churn and long-term maintenance overhead. Less dependency on
The changes are structural rather than cosmeticβ
Whatβs changing and whyπ₯
π¦ Channel | Chat | LinkTree
NEAR is reshaping its Rust tooling to reduce churn and long-term maintenance overhead. Less dependency on
nearcore, clearer boundaries between tools, and a more stable structure.near-api-rs is becoming the central layer. RPC clients are generated from OpenAPI. Older tools are gradually phased out. near-sdk-rs is preparing for its next major update.The changes are structural rather than cosmetic
Whatβs changing and why
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π₯8
Not sure whether NEARCON Innovation Sandbox is for you? Find out today π
The Innovation Sandbox kickoff livestream goes live at 4 PM UTC.
This session opens the sprint and sets the context around what it is, what it focuses on, and how itβs structured. There will be space to talk through the bounties, discuss the technical direction, brainstorm ideas, and ask questions live.
If youβre curious and want context before deciding to join, the livestream is the right place to startπ―
πΊ Watch the livestream
βοΈ Register for the NEARCON Innovation Sandbox
π¦ Channel | Chat | LinkTree
The Innovation Sandbox kickoff livestream goes live at 4 PM UTC.
This session opens the sprint and sets the context around what it is, what it focuses on, and how itβs structured. There will be space to talk through the bounties, discuss the technical direction, brainstorm ideas, and ask questions live.
If youβre curious and want context before deciding to join, the livestream is the right place to start
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β€5
In case you missed π¨
β¨ NEAR DNS β¨
Vlad Frolov experimented with an AI agent and wired DNS to NEARπ¨βπ»
The result is a DNS resolver that reads records from NEAR accounts and continues to answer queries through the standard DNS protocol. From the client side, it behaves like regular DNS with no new formats or special tooling.
In the post, Vlad walks through the idea, the constraints of this approach, and why this setup works in practice.
If this sounds interesting, itβs best to read the details on Redditπ
π¦ Channel | Chat | LinkTree
Vlad Frolov experimented with an AI agent and wired DNS to NEAR
The result is a DNS resolver that reads records from NEAR accounts and continues to answer queries through the standard DNS protocol. From the client side, it behaves like regular DNS with no new formats or special tooling.
In the post, Vlad walks through the idea, the constraints of this approach, and why this setup works in practice.
If this sounds interesting, itβs best to read the details on Reddit
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π₯10π±2
Sometimes all NEAR builders need is that one missing piece π§©
With Awesome NEAR there is nothing to search for. All NEAR tools are in one place. SDKs, wallets, infra, RPCs, indexers, data tools, examples, and more.
If youβre building, save this so you donβt lose itπ
π¦ Channel | Chat | LinkTree
With Awesome NEAR there is nothing to search for. All NEAR tools are in one place. SDKs, wallets, infra, RPCs, indexers, data tools, examples, and more.
If youβre building, save this so you donβt lose it
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π₯6β€2
In case you missed π¨
π near-multisig-sdk π
This repository was shared in the NEAR Tools chatπ¬
It implements multisig on NEAR using a contract-controlled account. A contract collects approvals from multiple participants and executes a transaction once the threshold is met.
A simple example of how multisig can be built by the community directly on top of NEAR accounts, without off-chain coordinationβ
π§ Repository
Feedback from anyone who has worked with multisig is welcomeβοΈ
π¦ Channel | Chat | LinkTree
π near-multisig-sdk π
This repository was shared in the NEAR Tools chat
It implements multisig on NEAR using a contract-controlled account. A contract collects approvals from multiple participants and executes a transaction once the threshold is met.
A simple example of how multisig can be built by the community directly on top of NEAR accounts, without off-chain coordination
Feedback from anyone who has worked with multisig is welcome
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π₯4β€2π1
What does βNEAR is the BOSβ actually mean today?
Join the Innovation Sandbox workshop to explore how the NEAR tech stack has evolved and why itβs suited for building decentralized apps. Live walkthrough, build, and deployment included
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π₯3β€1π1
Confidential email implemented on NEAR
near.email is an email service built around NEAR. Visually, it looks like a regular email client and uses standard SMTP. The difference is privacy.
What changes:
β‘οΈ access and message decryption are tied to the NEAR account
β‘οΈ there are no provider-held credentials
β‘οΈ messages are processed inside a TEE
β‘οΈ emails are stored encrypted, so the service canβt read them
Email is not stored or processed on-chain. The NEAR account is used for identity and access control, while email remains fully off-chain and compatible with existing infrastructure.
This is a working implementation you can test today (early access).
Weβre sharing 5 invite codes to get started: 1 / 2 / 3 / 4 / 5
Each activated account receives 3 more codes.
As a result, NEAR Email can be seen alongside NEAR AI, NEAR Web4, and NEAR DNS as a practical example of applications built around NEAR accounts. Docsπ₯
π¦ Channel | Chat | LinkTree
near.email is an email service built around NEAR. Visually, it looks like a regular email client and uses standard SMTP. The difference is privacy.
What changes:
Email is not stored or processed on-chain. The NEAR account is used for identity and access control, while email remains fully off-chain and compatible with existing infrastructure.
This is a working implementation you can test today (early access).
Weβre sharing 5 invite codes to get started: 1 / 2 / 3 / 4 / 5
Each activated account receives 3 more codes.
As a result, NEAR Email can be seen alongside NEAR AI, NEAR Web4, and NEAR DNS as a practical example of applications built around NEAR accounts. Docs
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π₯12β€2
How does NOVA approach privacy-first, decentralized file sharing?
Join Innovation Sandbox [Workshop 2]: Building with NOVA for a deep dive into the NOVA tech stack and how itβs designed for encrypted data persistence in dApps
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π₯4
OpenClaw is now available on NEAR AI Cloud π¦ π‘
OpenClaw is a personal agent that actually works. It connects to email and services, keeps context, and runs 24/7. It feels more like a quiet coworker than a chatbot.
Until now, running it meant an awkward trade-off.
1οΈβ£ Either keep everything on local hardware.
2οΈβ£ Or run it on a standard cloud VM and accept that memory, keys, and context live in an untrusted environment.
Thereβs now a third option.
3οΈβ£ OpenClaw can run on NEAR AI Cloud inside a TEE.
What this changes:
β¦ memory and data are encrypted at the hardware level
β¦ only verified code is allowed to run
β¦ the infrastructure has no visibility into the agent, even from NEAR AI
The agent can keep long-term memory and work with real tools while staying inside an encrypted execution environmentπ‘
If youβve wanted to run OpenClaw without managing your own hardware or trusting a regular cloud VM, NEAR AI Cloud makes that possible.
Apply for early accessβοΈ
π¦ Channel | Chat | LinkTree
OpenClaw is a personal agent that actually works. It connects to email and services, keeps context, and runs 24/7. It feels more like a quiet coworker than a chatbot.
Until now, running it meant an awkward trade-off.
Thereβs now a third option.
What this changes:
β¦ memory and data are encrypted at the hardware level
β¦ only verified code is allowed to run
β¦ the infrastructure has no visibility into the agent, even from NEAR AI
The agent can keep long-term memory and work with real tools while staying inside an encrypted execution environment
If youβve wanted to run OpenClaw without managing your own hardware or trusting a regular cloud VM, NEAR AI Cloud makes that possible.
Apply for early access
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π₯8π4
From enterprise AI to developer tooling and ecosystem momentum, hereβs what shaped NEAR in January.
Hereβs the rundown:
β¦ and more inside the full issue.
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β€8
How do you stream NEAR data in real time without traditional indexing?
Join Innovation Sandbox [Workshop 3]: Streaming NEAR Data with Goldsky to go under the hood of Goldsky Mirror and see how NEAR data can be streamed directly into your database.
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NEAR skills + AI agents = agents that actually do things π¨βπ»
An agent does not know everything by default. Like a human, it is shaped by its skills.
The difference is that agent skills are modular and reusable capabilities that work across different agent platforms and workflows, such as OpenClaw, Claude Code, and Codex.
NEAR has its own set of these skills.
These are the skills your AI agent will brag about on the forum:
β‘οΈ near-ai
β‘οΈ near-api-js
β‘οΈ near-connect
β‘οΈ near-connect-hooks
β‘οΈ near-kit
β‘οΈ near-intents
β‘οΈ near-smart-contracts
They are available hereπ§
With these skills, your agent will be valued not only on Moltbook, but also on Agent Market. On that note...
... this is a good moment not just to launch your onchain AI agent, but to start exploring its first paid tasks.
Be among the first to try itπ₯
π¦ Channel | Chat | LinkTree
An agent does not know everything by default. Like a human, it is shaped by its skills.
The difference is that agent skills are modular and reusable capabilities that work across different agent platforms and workflows, such as OpenClaw, Claude Code, and Codex.
NEAR has its own set of these skills.
These are the skills your AI agent will brag about on the forum:
They are available here
With these skills, your agent will be valued not only on Moltbook, but also on Agent Market. On that note...
... this is a good moment not just to launch your onchain AI agent, but to start exploring its first paid tasks.
Be among the first to try it
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π₯8
How does PingPay approach payment orchestration across assets?
Join Innovation Sandbox [Workshop 4]: Exploring PingPay for a walkthrough of the PingPay tech stack and how itβs used for payment scenarios powered by NEAR Intents
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π5β€1π1
The Unified Commerce Layer by Illia Polosukhin
In his latest Substack piece, Illia writes that βcommerceβ is the worldβs value-movement layer, and AI is about to automate it end-to-end.
He connects that shift to NEAR Intents as neutral infrastructure that routes intents to execution, and points to Agent Market as an early example: agents hiring agents, with work settled through escrow.
π Read the full piece & subscribe
π¦ Channel | Chat | LinkTree
In his latest Substack piece, Illia writes that βcommerceβ is the worldβs value-movement layer, and AI is about to automate it end-to-end.
He connects that shift to NEAR Intents as neutral infrastructure that routes intents to execution, and points to Agent Market as an early example: agents hiring agents, with work settled through escrow.
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β€6π2
Vadim Zavodil announced an on-demand oracle on NEAR
β¨ TEE-Secured Price Oracle β¨
It fetches fresh data inside Intel TDX and returns it to your contract via callback, without the usual βkeep updating the feedβ loop.
Hereβs what it actually gives you in practice:
β‘οΈ Prices are always βwarmβ in TEE
β‘οΈ Zero trust execution inside Intel TDX
β‘οΈ 9+ price sources with median aggregation
β‘οΈ Pyth-compatible API for easy migration
β‘οΈ Custom data fetching from any HTTP API
β‘οΈ Subsidized calls when the contract is funded
Powered by OutLayerβ
π§ For details, see the full thread
π§ Try it here
π¦ Channel | Chat | LinkTree
It fetches fresh data inside Intel TDX and returns it to your contract via callback, without the usual βkeep updating the feedβ loop.
Hereβs what it actually gives you in practice:
Powered by OutLayer
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π6
The PL_Genesis: Frontiers of Collaboration hackathon is live
If you started something in NEARCON Innovation Sandbox, this is a good place to continue. If not, you can start fresh and ship before the deadline.
π Compete for the NEAR prize and a share of the $100K+ prize pool. Select teams may be invited to join the Founders Forge Accelerator.
Details and registration hereπ
π¦ Channel | Chat | LinkTree
If you started something in NEARCON Innovation Sandbox, this is a good place to continue. If not, you can start fresh and ship before the deadline.
Details and registration here
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π6β€3
How do you start building on NEAR without local setup or CLI headaches?
Join Innovation Sandbox [Workshop 5]: Zero-Setup NEAR Development with NEAR Playground for a hands-on walkthrough of building a dApp directly in the browser using NEARβs online IDE
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π5β€3
Are you safe, son? π¦
If your agent runs without constraints, no. With IronClaw, you donβt have to worry about your agent going off-script and leaking sensitive data.
The agent executes tools in isolation, with access controlled by permissions. Outbound HTTP can be restricted to an allowlist of endpoints.
If youβre building an always-on agent with integrations and keys, IronClaw is a good example of building security into the system from day one instead of bolting it on at the end, even though itβs still a work in progressβ
π§ Repository
π¦ Channel | Chat | LinkTree
If your agent runs without constraints, no. With IronClaw, you donβt have to worry about your agent going off-script and leaking sensitive data.
The agent executes tools in isolation, with access controlled by permissions. Outbound HTTP can be restricted to an allowlist of endpoints.
If youβre building an always-on agent with integrations and keys, IronClaw is a good example of building security into the system from day one instead of bolting it on at the end, even though itβs still a work in progress
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π8β€3