Cognosys
Multi-agent task runner that decomposes goals and executes them across web tools. Polished UI, decent free tier.
Delv Safety Grade: C
Score 58/100 · assessed 2026-04-18
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
Pricing
Platforms
Review
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