Dev: Astra is the most capable model behind an agent, but its context handling is trash
Unique-Werewolf-2784 · reddit · 2026-09-27
A developer building agents complains about Astra's context handling, calling it the most capable model he's put behind an agent while its memory situation is unbelievable.
System prompts and static context loading work fine, but he has to manually rebuild the window every session, which doesn't scale with real users. Mid-session the agent tracks context perfectly, yet 15–20 turns later it starts losing things the user said at the top of the same session.
He tried several third-party memory SDKs with entity resolution and typed extraction to patch this at the infra level, but argues he shouldn't need an external memory layer for Astra agents to remember user data.
More from coding & agent
- Dev sponsors BookStack monthly to let AI agents read project knowledge bases — airesearch12 · 2026-09-27
- Indie dev rebuilds his Obsidian tooling with Codex, open-sources it for ~$15 in tips — vista8 · 2026-09-27
- Yacine: kernel optimization needs little creativity — frontier models can churn it out — yacineMTB · 2026-09-27
- Local Qwen models can't finish a PacMan clone; maze design is the endless stumbling block — nixudos · 2026-09-27
- Your DIY AI software factory will end up in the token garbage bin — DavidWells · 2026-09-27
- Shipping a remote MCP server with OAuth 2.1 (DCR + CIMD) inside an existing Express app — Legal-Tooth-1652 · 2026-09-27