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agentic-box / memora

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Why this job: says: semantic search; topics: rag, semantic-search, knowledge-graph

What it does

  • Persistent Storage. SQLite with optional cloud sync (S3, R2, D1)
  • Multi-database routing. One process serves many stores; a workspace reaches its own at /mcp/ (see Multi-database routing)
  • Hierarchical Organization. Section/subsection structure with auto-hierarchy assignment
  • Export/Import. Backup and restore with merge strategies
  • Absorb. Feed facts in; an LLM classifies each against the store (duplicate / update / contradiction / related / new), skips duplicates, links relations, and consolidates related facts — with dry_run preview

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 13 days ago
Stars
747
+1 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.5.5
Released 46 days ago
Built with
Python
84% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
83% closed
2 still open
Pull requests
26 merged
3 waiting
Releases
35
30+ in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 84%
  • HTML 6%
  • Shell 6%
  • TypeScript 2%

Topics

  • ai-agent
  • claude
  • knowledge-graph
  • llms
  • mcp
  • mcp-server
  • memory
  • rag
  • semantic-search
  • semantic-search-algorithm
  • agent-memory
  • claude-code

Project record

  • JobRAG and search
  • StatusListed
  • Commits723
  • Forks84
  • Watching5
  • Stars in 28 days+11
  • CreatedSep 19, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

Type to search.

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