agent-memory-store
CommunityShare semantic memories across agents.
Software Engineering#agent communication#vector search#http api#semantic memory#openai embeddings#sqlite persistence#ttl decay
Authordingdyan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Agents often lose useful context or keep it siloed, making it hard to reuse prior decisions and knowledge across runs and across different agents.
Core Features & Use Cases
- Cross-agent semantic memory: Store memories under an owner/agent scope and retrieve them via semantic similarity search.
- TTL decay with persistence: Memories can expire automatically and are backed by SQLite so they survive restarts.
- Embeddings with fallback search: Uses OpenAI embeddings when available and falls back to Jaccard similarity when OPENAI_API_KEY is not set.
Quick Start
Start the server by running "python3 scripts/memory_store.py", then send a POST to /memories with owner, content, and ttl_seconds to store your first memory.
Dependency Matrix
Required Modules
openaisqlite3python3urllib
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-memory-store Download link: https://github.com/dingdyan/openclaw-workspace-v2/archive/main.zip#agent-memory-store Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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