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Skills2026-06-08 · source-backed
Context inconsistency, not pattern choice, is the main reason multi-agent pipelines fail. One agent's malformed output silently corrupts everything downstream. Validate each inter-agent handoff with Pydantic or Zod before passing it on. This single discipline kills most cascade failures, and it's an afternoon of work.
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Pydantic's validate_call stores the caller's f_locals on the wrapper it builds, and Agno's Function caches those wrappers for the process lifetime, so on 3.13 each cached tool kept the Agent, session and run state alive indefinitely. Release notes here. The same release adds P...
The diagnosis in this paper is better than the fix, and the fix is very good. Recurrent memory agents fail at long context, but not for the reason most people assume. The bottleneck isn't capture. It's retention. Retention falls below 30% at 896K tokens because every consolida...
1. KV-Cache-Aware Context Engineering (Advanced) — 10x cost reduction by treating cache hit rate as your most important metric. Make system prompts stable, use append-only history, static tools with logit masking. Manus Blog 2. Claude Code Agent Teams (Intermediate) — Run coor...
Memori turns agent execution traces into structured persistent state, outperforming Zep, LangMem, and Mem0 on the LoCoMo benchmark while reducing prompt size by 67% vs Zep. Python and TypeScript SDKs. If you're building agents that need memory, benchmark this against whatever...
Built on Django Ninja and Pydantic with auto-generated OpenAPI schemas, bearer token auth, and MCP plus CLI surfaces for agents, covering pages, images, documents and custom Django models. The stated position: AI stays out of the admin interface, and the API is what agents dri...
Budget ceilings belong in the harness itself. Use the Claude Agent SDK's ~25-turn-per-subagent default as a hard stop, Vercel AI SDK 6's stepCountIs(N), or a LangGraph checkpointer with explicit step budgets. A runaway agent should be bounded before it spends, not flagged afte...
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