What does half-life mean for AI agent success rates?

Research shows agent success probability decays exponentially with task length - each agent has a constant failure rate per unit time. A 30-minute task has far lower success odds than a 5-minute task for the same agent.

Why do agents fail more on longer tasks?

Errors compound: each wrong step increases the chance of the next step failing. The agent also runs out of context window space, forgets earlier instructions, and enters loops trying the same failed approach repeatedly.

Does external memory help agents on long tasks?

Partially. Agents augmented with external memory show slower decay but not elimination. The fundamental problem is that accumulated errors and context limits compound in ways memory retrieval cannot fully offset.

Is there a tool that measures an agent's half-life in production?

No. There is no production tool that monitors task length versus success rate, surfaces each agent's half-life metric, or enforces task-length budgets to keep agents in their reliable operating range.

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⚠ IssueUnderservedai_agent_mcpLive

AI agent success rate decays exponentially with task length creating a practical ceiling on autonomous work

Research proves AI agent success drops off with a constant failure rate per unit time giving each agent a measurable half-life. Longer tasks compound failures until the agent loops, hallucinates, or fails. Industry estimates put practical autonomous agent task horizons at under 30 minutes for most models. External memory slows decay but does not eliminate it.

Score Breakdown

377

Social Proof 2 sources

Is there a half-life for the success rates of AI agents?

EvgeniyZh · 6/18/2025

263 HN

Show HN: Context Gateway - Compress agent context before it hits the LLM

ivzak · 3/13/2026

114

Existing Solutions 2 competitors

mem0 (memory framework)30k+ stars

Memory layer for AI agents that persists context across sessions

Context Gateway97 HN points, early-stage

Compresses agent context before it hits the LLM to slow degradation

Gap Assessment

UnderservedExisting solutions leave gaps

No production tool monitors and enforces task-length budgets or exposes per-agent half-life metrics. Memory frameworks slow decay but the measurement and guardrail layer is missing.

Frequently Asked Questions

Virality Score

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across 0 platforms

Details

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Ecosystemai_agent_mcp

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Updated1d ago

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