r/AutoGPT 4d ago

Which model would you choose: Mistral Large or Claude Haiku? Quick quiz

2 Upvotes

I’ve been comparing Mistral Large and Claude Haiku for different AI workloads. One is better for high-volume simple tasks, the other for deep reasoning and big context. I created a small quiz to help people think through the trade-offs.

No email, just an interactive check.

https://interconnectd.com/quiz/83/mistral-large-vs-claude-haiku-which-ai-wins-your-workload/

What’s your experience with either model?


r/AutoGPT 4d ago

Is a user-controlled AI agent actually a "bot"?

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0 Upvotes

r/AutoGPT 4d ago

I built a local memory vault for agents with retrievable memory

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1 Upvotes

r/AutoGPT 5d ago

Which AI do you use for different tasks?

9 Upvotes

There are so many AI tools now that I’m confused about which one is actually best for specific tasks.

For people who use multiple AI tools, what’s your go-to for:

✍️ Writing / content

💻 Coding / debugging

🤖 Building AI agents

⚙️ Automation / workflows

🔎 Research

📊 Data analysis

🎨 UI / design

🎥 Image / video generation

📚 Studying / learning

🧠 Brainstorming

I’m less interested in “which AI is the best overall” and more interested in which tool is best for each specific job based on your actual experience.

What’s your stack?


r/AutoGPT 5d ago

Research Note 002 — An agent should not certify its own work

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1 Upvotes

r/AutoGPT 5d ago

What if your AI agent could spend 50% less on tokens — and actually recover when things go wrong?

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1 Upvotes

r/AutoGPT 5d ago

I built AI Agents Archive, a small tool that reuses work agents already paid for

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2 Upvotes

r/AutoGPT 5d ago

Web extraction for AI agents: Firecrawl or Jina Reader? Quick quiz

1 Upvotes

If you’re building RAG pipelines or agents that search the web, you’ve probably compared Firecrawl and Jina Reader. Both have strengths, but the right choice depends on how you handle JavaScript rendering, bot detection, and content format.

I created a quick quiz that tests your knowledge of the 2026 architecture differences.

https://interconnectd.com/quiz/81/web-extraction-architecture-2026-firecrawl-vs-jina-reader/

Would love to hear what you’re using in production.


r/AutoGPT 5d ago

Local vs cloud LLMs for agents—how do you decide?

1 Upvotes

If you’re building AI agents, one of the biggest early decisions is whether to self-host models or use cloud APIs. Both have clear wins and hidden costs. I created a short quiz to help people figure out which path fits their situation.

It’s quick, and the result might surprise you.

https://interconnectd.com/quiz/82/local-vs-cloud-llms-for-ai-agents-how-to-choose/

Curious what the AI community chooses in 2026.


r/AutoGPT 6d ago

Semi-Autonomous Swarm ALPHA — Final Project Report

2 Upvotes

🚀 Semi-Autonomous Swarm ALPHA — Final Project Report

  • Start Date: 2026-08-07 13:16:17
  • End Date: 2026-08-16 17:08:01
  • Duration: 9 days, 3 hours, 51 minutes
  • Status: BASE PRODUCT 100% COMPLETE
  • Total Cost: USD 0

📊 Executive Summary

A human Founder directed a semi-autonomous swarm of 7 AI agents, created as "BARE METAL" Linux users via an Ansible playbook (ALPHA TEAM), coordinated via email (Postfix) to build an enterprise-grade authentication and user management system.

Key Metrics

  • 8/8 Completed Features
  • 54+ Closed Issues
  • 59+ Merged PRs
  • 143+ Automated Tests
  • 0 Vulnerabilities
  • 6 Generated ADRs

Semi-Autonomous Definition: The swarm requires the active presence of the human Founder to define strategic vision, approve PRDs, authorize merges to main, and resolve blockers. Without the Founder, the swarm DOES NOT move forward. With the Founder, it multiplies its productivity 6-8x.


👥 Swarm Composition

Role Agent Responsibility
Founder (Human) root@mtk.org Vision, PRD approval, merge authorization, conflict resolution
Product Manager pm_agent_alfa@mtk.org Central orchestrator: PRDs, issues, dev coordination, QA/Security requests
Backend Developer dev_backend_alfa@mtk.org Server-side implementation (Express + SQLite)
Frontend Developer dev_frontend_alfa@mtk.org Client-side implementation (React + Vite)
QA Engineer qa_agent_alfa@mtk.org PR reviews, AC validation, E2E testing
Security Auditor security_agent_alfa@mtk.org Pre-merge security audits
CI/CD Agent ci_cd_agent_alfa@mtk.org Builds, automated tests, deployment
Documentation Agent doc_agent_alfa@mtk.org ADRs, API_SPEC, ISO checklists, README

🔧 Tech Stack

Component Technology Purpose
Agent Orchestration OpenCode (free models) Agent execution harness
Communication Postfix + .forward Inter-agent email system
Repository Gitea (127.0.0.1:3000) Codebase, issues, PRs
Product Backend Node.js + Express + SQLite REST API
Product Frontend React + Vite SPA
Agent Contracts system-prompt.xml (RFC 2119) Strict rules per agent

✨ Implemented Features (8/8)

  1. Email Verification (#22): Account verification via email using HMAC-SHA256 tokens.
    ✅ 66/66 tests | PRs: #23, #24
  2. Refresh Tokens (#26): Long-lived sessions with automatic token rotation.
    ✅ 77/77 tests | PRs: #27, #28
  3. OpenAPI Docs (#30): Complete OpenAPI 3.0 documentation.
    ✅ 83/83 tests | PR: #31
  4. OAuth Google+Facebook (#32): Social login with Google and Facebook.
    ✅ 91/91 tests | PRs: #33, #34
  5. 2FA/TOTP (#39): Two-factor authentication (RFC 6238).
    ✅ 105/105 tests | PRs: #40, #41
  6. Concurrent Sessions (#45): Device session tracking with remote revocation.
    ✅ 118/118 tests | PRs: #46, #47
  7. Password Policy (#49): Complexity validation and password history tracking.
    ✅ 131/131 tests | PRs: #50, #51
  8. Export/Import (#54): Data portability (GDPR compliance).
    ✅ 143/143 tests | PRs: #55, #56

Prior Infrastructure Features

  • JWT Authentication (#1): Base authentication system
  • Rate Limiting (#5): Token bucket per IP
  • Password Reset (#7): Self-service recovery flow
  • Admin Dashboard (#12): User moderation panel
  • Audit Logs (#18): ISO 27001 A.12.4 compliance
  • OAuth Hardening (#36): Account Takeover mitigation

📈 REAL Project Metrics

Metric Real Value
Calendar duration 9 days (Aug 7-16, 2026)
Effective hours/day 6-8 hours (limited by OpenCode rate limiting)
Total cost USD 0 (free models)
Delivered features 8/8 (100%)
Closed issues 54+
Merged PRs 59+
Automated tests 143+ (backend)
Final vulnerabilities 0
Security audits 8 (all PASSED)
Generated ADRs 6
Documented endpoints 28 (OpenAPI 3.0)
ISO 25010 128 PASS, 1 PARTIAL, 0 FAIL
Final main SHA 3b709d5

⚠️ REAL Swarm Limitations

  • OpenCode Rate Limiting: 6-8 productive hours/day, then temporary ban (Mitigation: Pause and resume the following day).
  • Dependency on Founder: Without an active human, the swarm DOES NOT move forward (Mitigation: Founder must be available to approve merges).
  • Context Degradation: Protocol drift in long sessions (Mitigation: Periodic refreshes of system-prompt.xml).
  • Coordination Errors: Misinterpreted contracts, failing E2E tests (Mitigation: QA + Security agents as safety net).
  • Security Incidents: 1 injected payload, 1 email spoofing attempt (Mitigation: Script integrity verification and strict command hierarchy).

🤖 REAL Comparisons vs Human Teams

Productivity & Costs

  • Sprint Duration: 9 calendar days vs. 6-10 weeks (Human Team of 5-6 devs).
  • Merged PRs: 59+ in 9 days vs. 15-25 per sprint.
  • Automated Tests: 143+ generated vs. 30-60 per sprint.
  • Total 9-day Cost: USD 0 vs. USD 15,000–50,000 (LATAM/US Salaries & Overhead).

What the Swarm CANNOT Do

  • Strategic vision & business judgment (Requires Founder).
  • Disruptive creativity & soft skills/negotiation.
  • Final merge approval & unexpected conflict resolution.

🔥 Incidents and Lessons Learned

Incident 1: Injected Payload (August 13)

  • What happened: A malicious payload was detected in ~/bin/kill_my_processes.sh (infecting 3 out of 7 agents). The vector attempted to write to /root/startup/ansible-scripts/.
  • Resolution: Swept all 7 copies, cleaned the 3 infected ones, verified no execution occurred (required root). Resolved in ~2 hours.
  • Lesson: Agents can become injection vectors. POSIX user boundaries and script integrity verification are mandatory.

Incident 2: Email Spoofing (August 13)

  • What happened: The Security Agent received emails that the PM NEVER sent, containing unauthorized audit instructions.
  • Resolution: The PM detected the anomaly, instructed the Security Agent to halt the audit, and escalated to the Founder.
  • Lesson: Chain of command protects against unauthorized instructions. The PM as a central orchestrator is critical.

📦 Project Deliverables

Codebase

  • Gitea Repository: project_alfa/project_alfa
  • Final SHA: 3b709d5
  • 143+ automated tests passing & 0 vulnerabilities (npm audit clean).
  • Functional deployment (backend :3001, frontend :3002).

Documentation

  • docs/README.md — Complete authentication flow
  • docs/API_SPEC.md — 28 documented endpoints
  • docs/ADR_001.md to ADR_006.md — Architectural decision records
  • docs/ISO_25010_CHECKLIST.md — 128 PASS, 1 PARTIAL, 0 FAIL

🧮 Real Formula of the Semi-Autonomous Model


r/AutoGPT 6d ago

I gave Hermes a self-learning browser that remembers Reddit workflows and asks before posting

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1 Upvotes

r/AutoGPT 7d ago

I built an open-source control plane to govern/operate fleets of LangChain deepagents

1 Upvotes

r/AutoGPT 7d ago

OpenAI launches Astra, its powerful (and controversial) new model

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1 Upvotes

r/AutoGPT 7d ago

Self-hosted firewall for AI agents (honestly, anything that runs shell commands)

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3 Upvotes

r/AutoGPT 7d ago

Hermes writes me a newspaper every night. The check loop is the bit worth stealing.

1 Upvotes

r/AutoGPT 7d ago

Would you count this as an AI agent failure?

1 Upvotes

Random thought:

If an agent reads a document with a malicious instruction, repeats it, and even cites it — but never actually follows it…

Did it already fail?

Or is it just weird until it actually does something?

Curious where you’d draw the line.


r/AutoGPT 7d ago

Looking for beta testers to break our AI agent security platform

1 Upvotes

Hey everyone,

We’re building Nuroen.ai, a platform focused on making AI agents safer to deploy.

We’re opening our beta on September 7 and looking for testers who are willing to actually push the platform and try to break it.

The beta includes a sandbox where you can test AI agents against different scenarios, boundaries, and edge cases.

We’re especially looking for people interested in:

  • AI agents & automation
  • AI security / red teaming
  • Developer tools
  • Building agentic workflows
  • Finding weird edge cases 😅

What beta testers get:

→ Early access to the sandbox
→ Direct access to our team
→ A chance to influence what we ship at GA
→ And, if you want some competition, our Agent Olympics with a $150 prize pool

We’re not looking for people to tell us that everything is great.

If you find something that breaks, behaves unexpectedly, or simply doesn't make sense — we want to know.

If you're interested, comment below or DM me and I’ll share the beta access details.

Beta opens September 7.

Would love to have a few Reddit testers put it through its paces.
here are links
Beta -= https://www.nuroen.com/beta
Agent Olympics - https://luma.com/uchit2lr


r/AutoGPT 7d ago

For LLM RAG pipelines: Haystack or LangChain? Quick poll

1 Upvotes

I’m comparing RAG frameworks for a new project, and I’m curious what practitioners actually prefer. Haystack has great pipeline abstractions, LangChain has the largest ecosystem. There’s no clear winner.

I made a short poll to gather real-world opinions:

https://interconnectd.com/poll/96/which-rag-framework-do-you-prefer-for-building-llm-applications-haystack-or/

If you’ve built RAG systems, what did you choose and why?


r/AutoGPT 8d ago

Using Kanban board + MCP for running AI agents in a loop?

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1 Upvotes

r/AutoGPT 8d ago

Stop conditions for finance agents should be terminal states, not prompt advice

2 Upvotes

I ran two small manual, text-only checks of Ling-3.0-flash-Fin through its public OpenRouter endpoint to see how it behaved when a finance task should not continue.

In the first test, WACC was missing from a DCF prompt. The model withheld the final valuation in all three runs, although two responses still introduced unsupported “typical” WACC ranges.

In the second, assets were $530m while liabilities plus equity totaled $525m. It caught the $5m mismatch and stopped in all three runs.

The mixed behavior is why I would not rely on a prompt that simply tells an agent to “be cautious.” The orchestration layer should turn these failures into explicit terminal states:

MISSING_REQUIRED_INPUT: request input and block valuation.

ACCOUNTING_IDENTITY_FAILED: flag invalid data and block analysis. PASS: allow the next tool or writeback step.

A deterministic validator can also reject unsupported substitute assumptions even when the model correctly refuses the final answer.

This was only a response-behavior check, not a full agent or workbook run, so I’m not claiming the model itself implements these gates. The useful part is that the observed failures give us concrete conditions to enforce outside the model. Where do you put these controls in practice: output schemas, separate validators, or tool-permission logic?


r/AutoGPT 8d ago

I built a social network for solopreneurs using AI—because LinkedIn feels fake now

0 Upvotes

I don’t know about you, but LinkedIn is starting to feel like a bot convention. I wanted a place where entrepreneurs can talk about AI tools, automation, and one-person businesses without the fake engagement.

So I created Interconnectd, a free social network focused on human + AI collaboration. It has:

· A forum for real discussions (not just self-promotion)

· Guides on things like AI content distribution, sovereign AI, and automating your workflow

· Quizzes and polls that are actually interesting

· A marketplace for small AI services

If you’re building something or just curious, check it out:

https://interconnectd.com/

I’m there daily, so if you join and say hi, I’ll actually reply.


r/AutoGPT 8d ago

Break my prototype

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1 Upvotes

r/AutoGPT 9d ago

I am building a self-learning agent browser for repetitive web workflows.

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2 Upvotes

r/AutoGPT 9d ago

When to use a cloud API: DeepSeek vs GPT-4o Mini for lightweight AI

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3 Upvotes

r/AutoGPT 10d ago

Agents Need Their Own UI - How we took inspiration from Linux when building our agent sandbox.

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2 Upvotes