bots

About bots

bots bots built bots What This Is Most agent frameworks treat conversations as lists of messages. This one treats them as trees. Why? Because when you're working with an agent, you may need to explore, to try different approaches, or to backtrack when something doesn't work. A linear conversation forces you to either lose context or pollute that context with failed attempts. Trees let you explore without losing your place. Every message is a node. Every response creates a branch. You can navigate back to any point and try something different.

Quick Facts

Compatible Skills

These tools work well together with bots for enhanced workflows:

• llm-council — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
• tiger-slack — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
• oxylabs-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions