Build a research brief you can actually check
Turn three source passages into a claim ledger, a restrained recommendation and a one-page brief. Includes a complete teaching packet and reusable prompts.
Work through the example ↗Choose a task, check the evidence and measure the result. Worked guides, an editable cost model and a tool shortlist help you make the next decision.
A good tool earns its place in your workflow.
Original teaching examples, complete exercises and reusable templates.
Turn three source passages into a claim ledger, a restrained recommendation and a one-page brief. Includes a complete teaching packet and reusable prompts.
Work through the example ↗Build an editable monthly cost model with retries, review time and setup. Follow a hypothetical USD example and calculate a useful break-even point.
Work through the example ↗Use a two-tool compare action as a bounded coding exercise. Includes acceptance criteria, a reference function, runnable tests and a diff-review checklist.
Work through the example ↗Design one draft per request version, recognize duplicate deliveries and stop conflicting inputs. Includes runnable sample logic and a production handoff checklist.
Work through the example ↗Compare recurring charges, review time and setup. Record your acceptance task, source checks and corrections in a worksheet you can download.
These source briefs are unreviewed discovery records, not tested recommendations. Search, save candidates and verify the original source.
Optimizes performance in coding tasks using skills, instincts, memory, and security. Focuses on research-driven development.
Generates source-grounded AI notes with citations from provided text. Open source, built on Hugging Face platform.
Search engine implementation, lightweight, customizable, supports various backends and plugins for expanding functionality.
Generates depth, surface normals, and albedo maps from a single image. Research tool, lacks production validation.
Turns coding agents into research agents. Open-source platform for enhancing development productivity in research contexts.
System prompts extracted from multiple AI models for analysis and testing purposes. Not fully vetted for comprehensive use.
Agent-based tool for collecting, searching, and organizing web research into a searchable knowledge base.
Research tool facilitates TCP tunneling; supports pluggable transports for network stack analysis.
Agent automates mathematical modeling tasks and generates submission-ready papers. Targets academic and research applications.
Open-source tool for extended task management using research, coding, and creation, combined with supportive subagents and sandboxes.
Open-source AI research workbench supporting local execution, model agnosticism, and multi-platform integration.
Hackathon focused on real-world applications for rare disease research. Participants develop solutions using collaborative resources.
Archive of public exploit PoCs and vulnerability research. Unreported vulnerabilities. Users can report and claim CVEs.
Library of 165 skills for AI agents in scientific domains, leveraging extensive databases for research and development.
Tool for managing academic research process: research, write, review, revise, finalize tasks.
OSINT tool for data extraction from email/username. Analyzes over 465 scan vectors, suitable for security research.
Open source SEO tool suite. Aims to provide alternative functionalities for site analysis, backlink tracking, and keyword research.
Open-source framework targeting foundation model research and development. Active community contributions, but lacks distinct advantages.
Local-first AI memory management, orchestrates workflows, and manages agent fleets for personal data and tasks.
Open-source platform for SEO tasks like keyword research, backlinks, rank tracking, and site audits. Billed by usage.
Context API for web search and scraping. Supports large-scale data interaction. Suitable for developers needing web automation.
Lev8 uses AI agents for real-time web search, data enrichment, intent tracking, and multi-channel outreach.
FlashKDA implements Kimi Delta Attention kernels focusing on high-performance processing. Suitable for research, not yet proven in production scenarios.
Reproduces papers from ICML 2026 using an AI agent. Currently in development, functionality untested at scale.
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Each source brief links to its origin. Use the research guide to turn claims into a checked evidence ledger.
Compare source descriptions side by side, then use the decision lab to model costs and record a trial.
Set an acceptance condition before trying a tool. Record review time, errors and the result before adopting it.