Building trust for AI agents. Backed by @polychain. https://xitter.cf/t.co/fXK6eog6rh

Joined April 2025
Talus Protocol v2.1 is live on Mainnet! With @WalrusProtocol now more native to the protocol, agents can take on bigger jobs with bigger data. Leaders also run more efficiently, plus builders get new tools to test and track agents Read the full details below 👇
40
17
1
72
6,237
In case you missed it: Talus Protocol v2.1 is live! What's changed? Agents work with larger datasets (documents, images, etc) through @WalrusProtocol, coordination nodes run more efficiently on the latest Sui, and builders got a batch of new tools Catch up on the details 👇
17
8
40
2,048
Talus Labs retweeted
1/3 Tools are a single step. An Agent is the whole job scope: the steps, the order they run in, & the rules around them The TAP (Talus Agent Package) Development skill lets @claudeai Code, @OpenAI Codex & 40+ other AI assistants build the whole agent for you
18
13
2
49
3,898
1/3 Tools are a single step. An Agent is the whole job scope: the steps, the order they run in, & the rules around them The TAP (Talus Agent Package) Development skill lets @claudeai Code, @OpenAI Codex & 40+ other AI assistants build the whole agent for you
18
13
2
49
3,898
2/3 A TAP bundles everything an agent needs: its onchain logic, the order of operations, and the skill that sets its inputs, budget, and schedule Before it goes live, the skill checks that every step connects and tests the package against the real Talus contracts
4
4
20
1,582
3/3 It can also build the app on top. A dashboard showing each run live, with your API key kept on your server Picture a stablecoin-swap agent with a history page, or a game agent sharing results as they come in Got something in mind? Start building 👇 github.com/Talus-Network/ski…
1
3
10
701
Talus Labs retweeted
1/3 Real agent work involves a lot of data: documents, images, datasets, etc Most are too big to fit in a single blockchain transaction Part of Talus Protocol v2.1 makes @WalrusProtocol storage a more native part of how agents handle data to fix that
26
15
63
5,045
1/3 Real agent work involves a lot of data: documents, images, datasets, etc Most are too big to fit in a single blockchain transaction Part of Talus Protocol v2.1 makes @WalrusProtocol storage a more native part of how agents handle data to fix that
26
15
63
5,045
2/3 Tools can now pass up to 8 MiB through Walrus. The data stays signed, so it traces back to the Talus Tool that produced it, and if anyone alters it, the next step rejects it Uploads also follow the same spending limits as everything else on Talus
8
4
30
2,158
3/3 Additionally, Leaders nodes that carry out agentic work now track results more efficiently on the latest version of Sui, and builders can test their agents against the real Talus contracts before deploying Check out full v2.1 breakdown 👇
2
4
14
784
Working around a restriction instead of stopping is exactly the problem that enforced, onchain boundaries address For trust in Agentic AI to be achieved, the standard needs to be higher
An artificial intelligence system designed by Anthropic, maker of the Claude chatbot, submitted a false homicide tip to the Philadelphia police, the latest incident of AI agents acting in ways that weren’t intended. wapo.st/4eqljXs
34
8
41
5,364
Talus Labs retweeted
AI agents hallucinate, behave differently every time you ask, and leave no record of what they did. That's why they aren't trusted, yet In two months, we shipped the stack to change that Here's what we built
50
13
67
10,211
Talus Labs retweeted
Agents now use more AI than people do So who’s able to check if they did what they were supposed to do with it? Yeah, basically nobody Put the workflow and record onchain, that's how you make Agents trustworthy
🤖 LATEST: AI agent token usage on OpenRouter has surged 14-fold to 7.3 trillion, far outpacing human usage, an a16z chart shows.
8
8
33
17,385
Agents now use more AI than people do So who’s able to check if they did what they were supposed to do with it? Yeah, basically nobody Put the workflow and record onchain, that's how you make Agents trustworthy
🤖 LATEST: AI agent token usage on OpenRouter has surged 14-fold to 7.3 trillion, far outpacing human usage, an a16z chart shows.
8
8
33
17,385
Talus Labs retweeted
An onchain agent can't see the outside world. No live prices, no website data, no way to place an order on a CEX Offchain Tools can fix that: with one Talus skill, @claudeai Code, @OpenAI Codex, @cursor_ai & 40+ other AI assistants can build one from a single prompt
7
8
37
15,958
An onchain agent can't see the outside world. No live prices, no website data, no way to place an order on a CEX Offchain Tools can fix that: with one Talus skill, @claudeai Code, @OpenAI Codex, @cursor_ai & 40+ other AI assistants can build one from a single prompt
7
8
37
15,958
An Offchain Tool is a step an agent can call to fetch a price, query an external AI model, use any API & more Every response is signed, so a faked answer can't slip into your agent's decisions, and every input can be traced back to the Tool that sent it
3
4
13
2,504
Try making a Tool that translates text, aggregates reviews as positive or negative, labels a photo, or anything you can think of! The skill tests for failures, then waits for your OK to register the Tool, making it callable by any agent Start building 👇 docs.talus.network/guides/to…
1
2
4
434