Delv
General Assistantby Cognosys4.3

Cognosys

Multi-agent task runner that decomposes goals and executes them across web tools. Polished UI, decent free tier.

C
Safety & Trust

Delv Safety Grade: C

Score 58/100 · assessed 2026-04-18

Maintainer55
Permissions40
Supply chain50
Transparency35
Incidents100

Cognosys is a commercial autonomous agent platform with no open-source repository, making supply-chain verification impossible. The company appears to be a small startup with limited public track record. The service performs broad web automation including searches, scraping, and data assembly, which requires significant network permissions and likely filesystem access for task state. The multi-agent architecture means multiple autonomous processes with unclear sandboxing. No code review is possible, no dependency audit, no transparency into what APIs it calls or how credentials are handled. The polished UI and task decomposition visibility are positives, but the closed-source nature and broad autonomous capabilities create meaningful trust dependencies. Freemium pricing suggests venture-backed growth focus rather than security-first design. Suitable for non-sensitive research tasks only.

Green flags

  • Transparent task decomposition shows agent reasoning steps
  • Polished UI suggests professional development investment
  • Freemium tier allows risk-free testing before commitment
  • No known security incidents or takedowns

Red flags

  • No source code available, zero supply-chain verification possible
  • Broad autonomous web scraping and data collection capabilities
  • Unknown credential handling for third-party integrations
  • Small startup with limited public security track record
  • Multi-agent architecture with unclear isolation boundaries

Permissions requested

Outbound networkPrivate networkWrite filesExternal LLM callRead env
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

FREEMIUM

Platforms

web

Review

Cognosys sits in the awkward middle ground between ChatGPT and a proper workflow automation tool. You give it a goal - "find 20 SaaS companies in fintech with Series A funding" - and it breaks that into sub-tasks, fires off web searches, scrapes data, and assembles results. The multi-agent architecture means it can juggle several threads at once, which genuinely saves time on research-heavy tasks. I've used it for lead generation and competitive analysis. The UI is clean, the task decomposition is transparent (you see each agent's reasoning), and the free tier gives you enough credits to test properly. When it works, it feels like having a junior researcher who doesn't need hand-holding. I set it loose on finding contact details for 50 podcast hosts, and it came back with usable data in about 20 minutes - faster than I'd have managed manually. But the autonomy is fragile. It struggles with ambiguous goals. Ask it to "research competitors" without tight constraints and you'll get shallow Wikipedia summaries. The web tools it connects to are limited - mostly search, scraping, and basic API calls. No Zapier-level integrations, no custom tool definitions. If your workflow needs Airtable writes or Slack notifications, you're bolting those on yourself. Failure modes are predictable: it hallucinates less than raw LLMs, but it will confidently return incomplete data if a scrape fails partway through. You need to spot-check outputs. The task history helps, but there's no way to resume a failed run from the breakpoint - you start over or abandon it. Compared to AutoGPT or AgentGPT, Cognosys is more polished and less likely to spiral into recursive nonsense. Compared to n8n or Make, it's faster to set up but far less flexible. If you're doing one-off research tasks and don't want to build a workflow, it's useful. If you're automating something repeatable, you'll outgrow it. The freemium model is fair - enough credits to evaluate whether the agent's reasoning style suits your work. Paid tiers unlock longer runs and more concurrent agents, which matters if you're batching tasks.
Verdict

Worth trying if you do ad-hoc research or lead generation and want something faster than manual work but simpler than workflow automation. Skip it if you need deep tool integrations or reliable unattended runs.

Good at

  • Transparent task decomposition - you see each agent's reasoning
  • Polished UI with usable free tier for testing
  • Faster than manual research for structured data gathering
  • Handles multi-step goals without constant prompting
  • Less prone to hallucination spirals than raw AutoGPT-style agents

Watch out

  • Limited tool integrations - mostly search and scraping
  • Struggles with vague or open-ended goals
  • No way to resume failed runs from breakpoint
  • Outputs need spot-checking for incomplete data
  • Less flexible than proper workflow automation platforms

Use cases

  • Goal-driven multi-step research
  • Lead generation pipelines
  • Personal assistant workflows
  • Cross-tool data extraction