Anthropic's Fix: 2 Agents + 3 Files for Cross-Session Memory
sujingshen · x · 2026-07-03
Anthropic's solution to the Agent memory problem is surprisingly simple: an initialization Agent breaks down tasks (like cloning claude.ai) into a 200+ item feature list, each marked "failed". Every time the coding Agent starts, it reads three things—the feature list (what to do), a progress file (where it left off), and the git log (correctness). It then executes exactly one task, commits, updates progress, and passes the state to the next Agent. The entire flow relies on files, not memory, to transfer context.
More from coding & agent
- Dev builds interactive 3D product experience with GPT-6 Astra + Hyper3D Rodin — nikola_mr64990 · 2026-09-11
- Codex tip: use Sol with Astra and Luna sub-agents to save usage — pvncher · 2026-09-11
- agents-best-practices: a provider-neutral Agent Skill for designing and auditing agentic harnesses — tom_doerr · 2026-09-11
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11
- First-ever Three.js Conference lands in Paris, with a panel on AI-shortened design workflows — OdinLovis · 2026-09-11
- Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents — dhruv2038 · 2026-09-11