Agent Memory Debugging Tools in 2026: A Practical Comparison
When your agent forgets a fact it should know, you need a debugger that shows the recall path. The tools that inspect Mem0, Zep, and Letta state in 2026 today.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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When your agent forgets a fact it should know, you need a debugger that shows the recall path. The tools that inspect Mem0, Zep, and Letta state in 2026 today.
AutoGen Studio 2 makes multi-agent design point-and-click. What works, what does not, and when to fall back to code for serious production agent builds.
Jina v4 ships multimodal embeddings with strong code and long-context performance. The benchmark numbers and integration patterns for production RAG and search stacks.
Sydney's SaaS scene is shipping production agents on OpenAI AgentKit 1.0 — patterns from Atlassian alumni, Canva, and growth-stage startups in 2026.
RAG was the wrong abstraction for code. Code-Review-Graph builds a deterministic AST graph in SQLite — no embeddings required, no chunking artifacts, no vector DB tax.
Vapi's 10-min free tier is a toy. Real voice AI evaluation needs hours of traffic. Here is how CallSphere's trial compares.
Gpt realtime pricing: we modeled 11 real call profiles against OpenAI's published gpt-realtime audio token rates. The honest answer: between $0.18 and $0.46 per minute, with caching pulling it under $0.25.
Single-region AI voice is one Azure outage from 4 hours of downtime. Real failover crosses cloud boundaries, model providers, and TURN servers, all without dropping a call.
mem0 hit 37k+ GitHub stars and ships v1.0.4 with metadata filtering, project-level config, and timestamp backfills. Here is how to wire it as a drop-in memory bolt-on.