What is CleverBee?
Navigating the vast sea of online information to find reliable answers can feel overwhelming. You might spend hours sifting through search results, trying to piece together a coherent understanding while battling potential misinformation or AI "hallucinations." CleverBee enters the picture here, offering a structured, transparent approach to AI-powered research.
CleverBee is a Python-based research assistant agent, built as an open-source project for anyone curious about complex topics. It leverages multiple Large Language Models (LLMs), web automation, and a clear interface to help you explore questions thoroughly. The goal isn't just to get answers, but to understand how those answers were derived, with clear citations back to the source material. Because it's open source, the tool benefits from community contributions, growing stronger and more versatile over time.
Key Capabilities:
🧠 Specialized Multi-LLM Strategy: CleverBee assigns different tasks to distinct LLMs for optimal results. It uses Gemini 1.5 Pro for high-level planning and final report synthesis, Gemini 1.5 Flash for analyzing research progress and deciding the next steps, and another Gemini 1.5 Flash instance for summarizing web content efficiently. This division of labor aims for higher quality, more focused outputs at each stage.
🌐 Automated Web Research: Utilizes Playwright to actively browse the web based on your research topic. It searches for relevant information and extracts the raw HTML content from promising pages.
📊 Intelligent Content Processing: Raw HTML is automatically cleaned and converted into Markdown format. This structured text is then summarized by a dedicated LLM, making it easier for the planning agent to digest and decide on subsequent actions.
🖥️ Interactive User Interface: Built with Chainlit, the web UI provides a clear window into the research process. You can watch CleverBee plan its approach, execute steps, and see exactly which sources it's consulting in real-time.
🔧 Extensible Tool Integration: Supports the Model Context Protocol (MCP), allowing the integration of external tools for specialized data gathering, such as fetching YouTube transcripts or searching academic databases.
📈 Transparent Cost & Performance: Features integrated token tracking to monitor LLM usage and estimate costs. It also employs SQLite-based caching (NormalizingCache) to store results from previous LLM calls, potentially speeding up subsequent, similar queries and reducing redundant API expenses.
⚙️ Configurable & Adaptable: Operates based on settings defined in a
config.yamlfile, allowing you to tailor its behavior. Its modular design supports various LLM providers, including Google Gemini, Anthropic Claude, and even local GGUF models (like Llama, Mistral, Deepseek) run viallama-cpp-pythonfor enhanced privacy or offline use.🌍 Open Source & Community Driven: Freely available on GitHub, you can inspect the code, suggest improvements, or contribute directly to its development.
How CleverBee Tackles Research: A Practical Example
Imagine you ask CleverBee a profound question like: "What is the meaning of life?"
Instead of giving a single, potentially biased answer, CleverBee initiates a structured research plan:
Planning: The primary LLM outlines a strategy, identifying potential source types (philosophical texts, scientific articles, expert opinions, community discussions).
Execution:
It uses Playwright to search for and access relevant philosophical resources and reputable websites.
It might employ an MCP tool to find and transcribe relevant expert talks on YouTube.
It could explore forums like Reddit for diverse community perspectives.
Another MCP tool might search academic databases for related psychological or scientific studies.
Processing: Content from these sources is extracted, cleaned, and summarized.
Analysis: The "Next Step" LLM reviews the gathered summaries, checks progress against the plan, and decides if more specific searches are needed.
Synthesis: Finally, the primary LLM compiles the findings, synthesizing information from the various sources into a balanced report.
Reporting: The final output provides a concise summary, acknowledges limitations, and crucially, includes citations for all consulted sources, allowing you to verify the information yourself. The interface shows token usage metrics for transparency.
Important Considerations
CleverBee is a tool designed to assist research, not replace critical thinking or deep domain expertise. While built to ground its findings in factual sources and minimize bias, AI models (even with specific instructions) can still generate incorrect information (hallucinate). Always review the provided sources and cross-reference findings, especially for critical decisions.
More information on CleverBee
Launched
2025-04
Pricing Model
Free
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Amazon AWS CloudFront,cdnjs,Google Fonts,OpenGraph,Amazon AWS S3
CleverBee was manually vetted by our editorial team and was first featured on 2025-05-06.
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