Building Threadline- Persistent Memory and Context Layer for AI Agents

Vidur Sharma  • Peerlist

Every AI agent you build starts from zero. Your users repeat themselves — their preferences, ongoing projects, communication style, forgotten every session.Threadline fixes this in 2 lines. inject() before your LLM call, update() after. Your agent now remembers every user, forever.Structured extraction across 7 scopes, OAuth-style grant system so agents only see permitted context, user-owned data with deletion dashboard, and relevance-scored injection — 200 tokens of signal, not 2,000 tokens of noise.Works with OpenAI, Anthropic, Vercel AI SDK, and LangChain. &lt; 50ms retrieval. GDPR-ready. Free tier: 2,500 calls/month.