Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.
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io.github.jyswee/agenticmemory is an MCP server that persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE. Its tool list has not been published yet, requires no API key, and scores 81/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"agenticmemory": {
"env": {
"AGMRY_API_KEY": "amk_your_key_here"
},
"args": [
"mcp-serve"
],
"command": "agmry"
}
}
}Are you the author?
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Persistent memory for AI agents — conversation history, key-value context, and semantic search across sessions. As easy as git.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'agmry' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked agmry against OSV.dev.
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Persistent memory for AI agents — conversation history, key-value context, and semantic search across sessions. As easy as git.
git remembers your code. agmry remembers everything else.
Your agent writes great code all day — then forgets every decision the moment its context window resets. So you become the memory layer: re-explaining the project, the preferences, what broke last time. Agentic Memory is the memory your agent runs itself: one install, and it stores, recalls, and searches its own state across sessions, machines, and even other agents. It can even sign itself up — one command returns a working API key, no browser, no human.
Works with: Claude Code · Cursor · Cline · Windsurf · Aider · Codex · any MCP client
Install to full recall in 60 seconds — real terminal session, no mockups. Watch all the demos.
npm install -g agmry
# Agent signs itself up — working key returned instantly, no card, no browser
agmry signup my-project --local
# Store memory
agmry store my-project "User prefers TypeScript strict mode and pnpm"
# New session? Recall everything
agmry recall my-project
# Half-remember something? Search it
agmry search my-project "how do we deploy"
# Full reference
agmry --help
No browser. No OAuth. No waiting for a human.
$ agmry signup my-project
✓ Project "my-project" created
API key: amk_************************ (saved to .agmry/config.json)
Live: full access for 48h — no card, $0 today
The key works immediately — every endpoint, every tool, full access for 48 hours. Within that window, your human completes a $0 card-auth that starts the free 7-day trial on the same key. Miss the window? Nothing is deleted — the key pauses and revives the moment the card-auth completes. Add --email you@company.com and the human gets the link automatically.
A transcript dump isn't memory. Agents need different recall for different things:
# Short-term: ordered, role-aware conversation history (sub-ms reads)
agmry store my-project "Deployed v2.1, rolled back — migration locked the users table" -r assistant
agmry recall my-project -n 50
# Durable facts: typed key-value context — decisions, preferences, runbooks
agmry ctx my-project set deploy_flow "push image to registry, then ask infra to roll"
agmry ctx my-project get deploy_flow
# Long-term: titled, tagged knowledge entries that survive months
agmry entry my-project "Auth decision" "JWT not sessions — mobile clients can't hold cookies" --tags "arch,decisions"
agmry entries my-project --tags "decisions"
# Work-in-progress: scratchpad that's allowed to expire
agmry scratch my-project set "midway through the billing refactor, invoice.js next"
And semantic search stitches it together when the agent only half-remembers:
agmry search my-project "did we ever discuss rate limiting"
# → surfaces a months-old entry, with similarity score
Instead of pasting yesterday's summary into today's prompt:
agmry boot my-project --json # messages + context + entries, one call
agmry boot my-project --semantic "billing refactor" # or focused on a topic
~200 tokens of structured state, not