RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
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Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.
- developer-tools
- golang
- quota-tracker
- ai-api-monitoring
Local-first automation Agent & deterministic workflow engine — the secure control layer between AI and your data. Data stays local. Connect your own LLM / files / notes / databases via Connector API. ReAct reasoning · DAG/WAL/Saga/idempotent execution · MCP · offline-capable.
Go SDK for Dakera AI agent memory — self-hosted, 88.2% LoCoMo. Vectors, hybrid search, knowledge graphs, sessions.
- agent-memory
- ai-memory
- dakera
- go