Building AI agents, atomically. Contribute to BrainBlend-AI/atomic-agents development by creating an account on GitHub.
"Atomic Agents" has received praise for its advanced agentic workflows, which enhance productivity during complex coding tasks, and its strong multi-step task performance. However, users have expressed concerns over its transition to a usage-based billing model, which may lead to increased costs for frequent users. The pricing change has been met with mixed sentiment, as it could benefit casual users but potentially burden heavy users. Overall, the tool enjoys a solid reputation for boosting coding efficiency and integrating seamlessly with popular development platforms.
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"Atomic Agents" has received praise for its advanced agentic workflows, which enhance productivity during complex coding tasks, and its strong multi-step task performance. However, users have expressed concerns over its transition to a usage-based billing model, which may lead to increased costs for frequent users. The pricing change has been met with mixed sentiment, as it could benefit casual users but potentially burden heavy users. Overall, the tool enjoys a solid reputation for boosting coding efficiency and integrating seamlessly with popular development platforms.
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information technology & services
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6,200
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Total Funding
$7.9B
90
GitHub followers
2
GitHub repos
5,827
GitHub stars
20
npm packages
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely
View originalThere's more to making a game than the engine. 🎮 Check out 10 open-source projects helping developers with art, audio, animation, level design, and more. https://t.co/wlJV8OMWLP
There's more to making a game than the engine. 🎮 Check out 10 open-source projects helping developers with art, audio, animation, level design, and more. https://t.co/wlJV8OMWLP
View originalNew project idea but left the laptop at home? 😬 Create a repo right from your phone. Name it, set visibility, and adjust the details in the GitHub Mobile app. 📱 https://t.co/PYhtT0MYuv https://t.co
New project idea but left the laptop at home? 😬 Create a repo right from your phone. Name it, set visibility, and adjust the details in the GitHub Mobile app. 📱 https://t.co/PYhtT0MYuv https://t.co/393LHnk2zs
View originalRT @moraes_c_: drowning in low-quality PRs? we're giving maintainers the power to set contribution limits, starting with a PR cap for outs…
RT @moraes_c_: drowning in low-quality PRs? we're giving maintainers the power to set contribution limits, starting with a PR cap for outs…
View originalFour backend concepts for Product Managers using Claude Code
You don't need to write backend code. But if you understand how backend systems behave, your prompts get dramatically better because you're speaking the same language as the system. Async vs Sync: user clicks "generate," you call OpenAI, it takes 3-5 seconds. If that's synchronous, the entire UI freezes, Nothing responds. The fix is to make the call async. Show a loading state immediately, let the user keep interacting, update the screen when the response arrives. Tell Claude Code "handle this asynchronously" and watch the output quality jump. Race conditions: two users click "claim this spot" on the last available slot at the same second. Backend reads the database, sees one spot, confirms both. Now you have a double booking. You don't need to write the fix, but you need to spot this pattern in your specs. Anytime a user action reads a value then updates it, ask one question: what happens if two users do this at the same time? The fix is an atomic transaction read and write happen as one indivisible operation. Idempotency user submits a form, internet cuts out for half a second. Did it go through? They don't know, so they click again. Without idempotency, you now have two records. With it, the second request returns the same result without creating a duplicate. The fix is an idempotency key is unique ID generated on the frontend, sent with every request. Backend checks if it already processed that key. Stripe uses this for every payment call. Graceful degradation: your app calls OpenAI and the API is down. If you haven't planned for this, users see a blank screen or a raw error code. Every feature needs three states: happy path (everything works), loading state (we're waiting), error state (something failed). Retry up to three times. If it still fails, show a friendly message and keep the rest of the page working. Never let one dependency take down the whole experience. TLDR: Next time you're in Claude Code, try using these terms in your prompt — "handle this asynchronously," "make this endpoint idempotent," "add graceful degradation." The output gets significantly better when you speak the system's language. Post inspired from this video, you can checkout SkillAgents AI on Youtube for similar content. submitted by /u/InfamousInvestigator [link] [comments]
View original5/ We will publish a fuller report once the investigation is complete.
5/ We will publish a fuller report once the investigation is complete.
View original3/ We moved quickly to reduce risk. Critical secrets were rotated yesterday and overnight with the highest-impact credentials prioritized first.
3/ We moved quickly to reduce risk. Critical secrets were rotated yesterday and overnight with the highest-impact credentials prioritized first.
View original4/ We continue to analyze logs, validate secret rotation, and monitor for any follow-on activity. We will take additional action as the investigation warrants.
4/ We continue to analyze logs, validate secret rotation, and monitor for any follow-on activity. We will take additional action as the investigation warrants.
View original1/ We are sharing additional details regarding our investigation into unauthorized access to GitHub's internal repositories. Yesterday we detected and contained a compromise of an employee device inv
1/ We are sharing additional details regarding our investigation into unauthorized access to GitHub's internal repositories. Yesterday we detected and contained a compromise of an employee device involving a poisoned VS Code extension. We removed the malicious extension version,
View original2/ Our current assessment is that the activity involved exfiltration of GitHub-internal repositories only. The attacker’s current claims of ~3,800 repositories are directionally consistent with our in
2/ Our current assessment is that the activity involved exfiltration of GitHub-internal repositories only. The attacker’s current claims of ~3,800 repositories are directionally consistent with our investigation so far.
View originalWe are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely
View originalIf any impact is discovered, we will notify customers via established incident response and notification channels.
If any impact is discovered, we will notify customers via established incident response and notification channels.
View original📣 @GoogleAI’s Gemini 3.5 Flash is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has strong tool use, fast response times, and high cache efficiency ➡️ It is it
📣 @GoogleAI’s Gemini 3.5 Flash is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has strong tool use, fast response times, and high cache efficiency ➡️ It is it well-suited for fast, iterative agentic coding workflows Try it out in @code.
View originalhttps://t.co/yGiqw0xbji
https://t.co/yGiqw0xbji
View originalStart work on your computer, continue your local session anywhere. 📲 Remote control for GitHub Copilot CLI and @code sessions is now generally available. https://t.co/wwSEBd5lqL https://t.co/Yc5R6tB
Start work on your computer, continue your local session anywhere. 📲 Remote control for GitHub Copilot CLI and @code sessions is now generally available. https://t.co/wwSEBd5lqL https://t.co/Yc5R6tBfBl
View originalYou don't have to level up to contribute to open source. You level up by contributing to open source. Not sure how to get started? Check out our latest GitHub for Beginners episode. https://t.co/Jyze
You don't have to level up to contribute to open source. You level up by contributing to open source. Not sure how to get started? Check out our latest GitHub for Beginners episode. https://t.co/Jyze45KoHo https://t.co/DCqAFACo35
View originalRepository Audit Available
Deep analysis of BrainBlend-AI/atomic-agents — architecture, costs, security, dependencies & more
Atomic Agents uses a tiered pricing model. Visit their website for current pricing details.
Key features include: arXiv Search, BoCha Search, Calculator, Fía Signals, Hacker News Search, PDF Reader, SearXNG Search, Tavily Search.
Atomic Agents is commonly used for: Building modular AI applications that require different agents to work together seamlessly., Creating lightweight AI pipelines for data processing and analysis., Developing custom AI agents for specific tasks such as web scraping or data retrieval., Integrating various AI functionalities into existing applications without heavy overhead., Automating repetitive tasks using agent-based architectures., Implementing a multi-agent system for collaborative problem-solving..
Atomic Agents integrates with: SearXNG for web search capabilities., YouTube API for transcript scraping., Slack for notifications and interactions., Zapier for connecting with other web applications., AWS Lambda for serverless execution of agent tasks., Google Cloud Functions for scalable execution., PostgreSQL for data storage and retrieval., Redis for caching and quick data access., Docker for containerization of agent applications., Kubernetes for orchestration of agent deployments..
Atomic Agents has a public GitHub repository with 5,827 stars.
Based on user reviews and social mentions, the most common pain points are: down, token usage, critical, breaking.
Based on 145 social mentions analyzed, 4% of sentiment is positive, 96% neutral, and 0% negative.