qdrant-edge
SkillGuides building on Qdrant Edge, the embedded in-process shard. Use when someone asks 'how to sync Edge with the server', 'keep a local shard in sync with Qdrant Cloud', 'BM25 or keyword search on Edge', 'hybrid search on Edge', 'embeddings on device', 'Edge snapshots', 'apply a partial snapshot', 'w
Install
git clone https://github.com/qdrant/skills.git ~/.claude/skills/qdrant-edgeWhat is qdrant-edge?
Guides building on Qdrant Edge, the embedded in-process shard. Use when someone asks 'how to sync Edge with the server', 'keep a local shard in sync with Qdrant Cloud', 'BM25 or keyword search on Edge', 'hybrid search on Edge', 'embeddings on device', 'Edge snapshots', 'apply a partial snapshot', 'why is my Edge search empty after inserts', or is writing custom sync, BM25, or fusion code against qdrant-edge. Also use when deciding what Edge ships built-in versus what you must implement.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~123 tokens of context used while enabled, before you invoke anything
Documentation
README · ~3 min readBuilding on Qdrant Edge
Edge is the Qdrant engine embedded in your process (Python or Rust), not a thin local vector store to wrap. The failure mode is rebuilding what the shard already ships: keyword scoring, snapshot apply, faceting, counting. Before writing any of that, check the shard API. Two things Edge does NOT give you are a one-call cloud sync and query-time fusion, so knowing which is which keeps you from both reinventing built-ins and expecting capabilities Edge lacks. Edge is single-node and shares the server's data format.
- Edge is in beta: pin your version, the API drifts between releases Qdrant Edge.
Syncing a Shard with a Qdrant Server
Use when: seeding a shard from a server, keeping it fresh, backing it up, or aggregating many devices into one collection.
There is no built-in .sync(). Sync is a pattern you assemble from shard helpers plus your own transport, so do not go looking for one call.
- Follow the documented dual-shard pattern: a
mutableshard for local writes plus animmutableshard restored from a server snapshot, query both, refresh on a schedule Edge synchronization guide. - You write the snapshot download (plain HTTP to the shard snapshot endpoint), then apply it with
unpack_snapshotandupdate_from_snapshot. Do not untar or merge segments by hand Synchronization patterns. - Refresh incrementally with a partial snapshot built from
snapshot_manifest, not a full snapshot every cycle Synchronization patterns. - Push is your own dual-write: on each local upsert, enqueue the point and let a background worker upsert it to the server, buffering while offline Synchronization patterns.
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
claude-mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
88.9K stars
mem0
Universal memory layer for AI Agents
62K stars
MCP Servers
All mcp servers →codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
36.7K stars
infranodus-mcp-server-infranodus
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
95 stars
sverklo
Local-first MCP code intelligence: 37 tools — hybrid search, blast-radius, diff review, memory.
76 stars
Plugins
All plugins →claude-md-management
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
32.9K stars
beads
Beads - A memory upgrade for your coding agent
25.7K stars
context-mode
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
19.4K stars
Commands
All commands →Subagents
All subagents →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
maestro-flow
Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
486 stars
nimble-analyst
Deep analysis agent for Nimble business skills. Use when a skill needs to synthesize research findings, cross-reference data, produce structured reports, or make strategic assessments. Has persistent memory to learn user preferences and analysis patterns across sessions. Use proactively for any task