agent-library vs agent-fleet-o
agent-library: Agent Library provides AI agents with persistent storage for text, documents, and knowledge using SQLite with vector search (sqlite-vec) and full-text search (FTS5). It supports hybrid search combining semantic and keyword matching, configurable embedding models, and offers both CLI and MCP server interfaces for integration.; agent-fleet-o: FleetQ is an open-source AI agent orchestration platform for building, running, and monitoring autonomous multi-agent systems. It features a visual DAG builder, human-in-the-loop approvals, MCP server integration, and full audit trail. Works with major LLM providers and supports self-hosted or cloud deployment.
TL;DR
Storing and retrieving agent memories across conversations
Autonomous dev pipelines: agent opens PR, CI runs, reviewer agent approves, merges, and deploys
Side-by-Side Comparison
Features
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FAQ
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