Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.

Autonomous Agents Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self correct without constant human guidance. The challenge isn't making them capable it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% by step 10. Build for reliability first, autonomy second. 2025 lesson: The winners are constrained, domain specific agents with clear boundaries, not "autonomous everything." Treat AI outputs as proposals, not truth. Detailed Guide Read [the detailed guide](references/detailed guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end to end work, read the guide completely. Track context usage class ContextManager: def init (self, max tokens=100000): self.max tokens = max tokens self.messages = [] def add(self, message): self.messages.append(message) self.maybe compact() def maybe compact(self): if self.token count() self.max tokens 0.8: self.compact() def compact(self): Always keep: system prompt system = self.messages[0] Always keep: last N messages recent = self.messages[ 10:] Summarize: everything else middle = self.messages[1: 10] if middle: summary = summarize messages(middle) self.messages = [system, summary] + recent When to Use User mentions or implies: autonomous agent User mentions or implies: autogpt User mentions or implies: babyagi User mentions or implies: self prompting User mentions or implies: goal decomposition User mentions or implies: react pattern User mentions or implies: agent loop User mentions or implies: self correcting agent User mentions or implies: reflection agent User mentions or implies: langgraph User mentions or implies: agentic ai User mentions or implies: agent planning Example User request: Use @autonomous agents for this task: Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self correct without constant human guidance. Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

autonomous-agents