Local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud.
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io.github.DamianTodorovic/kepta is an MCP server that local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"kepta": {
"args": [
"-y",
"kepta-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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No known CVEs.
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K3PTA is the fix: one local, encrypted memory that every AI reads and writes — Claude, Cursor, Gemini CLI, Cline, any MCP client, and scripts over HTTP. No cloud. No account. One file you own.
Everything an AI system learns goes into an encrypted knowledge base on your own computer — and every AI recalls it in milliseconds, however long the context grows. Documents, decisions, client knowledge, whole chat histories: remembered, linked, contradicted, superseded — never lost.
This repository is the source-available core (BUSL-1.1 — every line public, converts to AGPL-3.0-or-later four years after each release): the memory engine, the MCP server, the HTTP API — and the Python client, which is MIT so any Python project can embed it. Everything that makes the memory smart lives in this free engine. There are no tiers inside the memory — nothing is held back to sell anything.
Questions, security feedback or benchmark critique? → Discussions
flowchart LR
subgraph Apps["Your AI apps — every client, one memory"]
direction TB
A["Claude Desktop · Claude Code"]
B["Cursor · Gemini CLI<br/>Cline · Codex · Zed"]
C["Your scripts"]
end
subgraph K3PTA["K3PTA — this repository"]
direction TB
M["MCP server<br/>8 tools · stdio + Streamable HTTP"]
G["HTTP API · 32 routes<br/>Python client · CLI"]
E["Memory engine<br/>hybrid retrieval: FTS5 + vectors + graph<br/>RRF fusion → local rerank"]
end
D[("One encrypted file<br/>SQLCipher 4 · AES-256<br/>~/.kepta/kepta.db")]
K["OS keychain<br/>the key never leaves"]
A --> M
B --> M
C --> G
G --> E
M --> E
E --> D
D -.-> K
Needs Node 22.13 or newer (package.json → engines) on the machine you install on; npm has prebuilt SQLite binaries for Node 22, 24 and 26.
npx -y kepta-mcp demo # six scenes in a throwaway database — nothing of yours is touched
npx -y kepta-mcp setup # connects Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Gemini CLI, Cline and Roo Code
npx -y kepta-mcp remember "Client Miller signs renewals in December." # write a note from the terminal, no AI client needed
npx -y kepta-mcp recall "who signs renewals" # read it back: 1 match — ranked by relevance
npx -y kepta-mcp stats # size, encryption state, top tags
npx -y kepta-mcp timeline "miller" # what was true, and when
npx -y kepta-mcp import chatgpt <export-folder> # bring your ChatGPT history with you (export → extract → import)
What those two lines answer, verbatim — kepta-mcp 3.2.0 from the registry on 10.10.2026, a
throwaway HOME, an empty memory:
$ npx -y kepta-mcp remember "Client Miller signs renewals in December."
✓ remembered — Client Miller signs renewals in December.
type: semantic · id: k-mv2mghs9-fdf75c17
$ npx -y kepta-mcp recall "who signs renewals"
1 match —
... [View full README on GitHub](https://github.com/damiantodorovic/kepta#readme)