This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+10 more
Summary
AI summaryUsage tracking now warns at 60%, 80%, and 95% capacity with X-Remembra-Usage-Percent header.
Full changelog
🧠 Remembra v0.8.0 — Production Ready
Semantic memory for AI agents that persists forever.
✨ What's New
🚀 Performance
- httpx Connection Reuse — Persistent HTTP clients eliminate 100-300ms TCP+TLS overhead per operation
- Optimized Entity Graph — Single endpoint call instead of N+1 queries
🔌 Multi-Provider Support
- Entity Extraction — Now supports OpenAI, Anthropic, and Ollama for entity extraction
- 6 Embedding Providers — OpenAI, Anthropic, Cohere, Voyage, Ollama, and custom endpoints
📊 Usage Tracking
- Warning Banners — Proactive alerts at 60%, 80%, and 95% usage
- X-Remembra-Usage-Percent — Header in all API responses
⚡ Quick Start DX
- One-liner install —
curl -fsSL https://remembra.dev/install.sh | bash - Zero-config Docker —
docker-compose.quickstart.ymlincludes Qdrant + Ollama + Remembra
🧪 Testing
- 125 new tests — Total: 263 passed, 0 failures
- Full coverage — Embeddings, entities, conflicts, spaces, plugins
📦 Installation
# Python
pip install remembra
# TypeScript/Node
npm install remembra
# Docker
docker pull remembra/remembra:0.8.0
🔗 Links
- Landing: https://remembra.dev
- Docs: https://docs.remembra.dev
- Dashboard: https://cloud.remembra.dev
- Discord: https://discord.gg/Bzv3JshRa3
🙏 Launch Day: March 11, 2026
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About remembra-ai/remembra
Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.
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Beta — feedback welcome: [email protected]