Memori
https://github.com/MemoriLabs/Memori
Structured, persistent memory layer for AI agents. Open source.
At a glance
- Type
- Structured persistent memory layer
- Tier
- T2
- Section
- Dedicated memory layers
- Created
- 2025-07
- Latest release
- v3.3.3 2026-05-05
- License
- Apache-2.0
- GitHub
- 14.1k★ +175/mo Python
- Pricing
- Free + paid (Memori Cloud; tiered plans for builders / growing / production teams)
- Funding
- $3.7M Seed (4 investors; round closed May 2024)
Taxonomy
- storage
- relational
- retrieval
- similarity
- persistence
- cross-session
- update
- extraction
- unit
- fact
- governance
- inspectable
- conflict
- append
When to use
Optimised for: structured persistence + simplicity
Anti-fit: no anti-fit explicitly stated
Pros & cons
Pros
OSS dual-mode model (conscious + autonomous ingestion) lets developers control memory decisions explicitly.
Cons
Smaller community than Mem0/Letta; documentation is uneven.
Claims & capabilities
Apache-2.0; structured persistent memory layer (relational + vector hybrid); 14.1k GitHub stars; +175/mo; v3.3.3 released 2026-05-05; dual-mode (conscious + autonomous ingestion); $3.7M seed (May 2024); founders Harish Mukhami (CEO) and Michael Montero (CTO) NYC
Technical surface
- API surface
- SDK: Python (memori.enable() one-liner; integrates LiteLLM, OpenAI, Anthropic)
- Backend storage
- SQL (SQLite/Postgres/MySQL)
- Deployment
- Both (Memori Cloud zero-config + self-hosted OSS)
- Embedding model
- multiple supported
- Multi-tenancy
- not applicable — library; multi-tenancy is the embedding application's concern
- MCP
- community port — third-party MCP wrappers
- A2A
- not documented publicly
- OpenTelemetry
- not documented publicly
Similar systems
Other dedicated memory layers in the catalog, ranked by inbound references.
- Mem0 T1
Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.
- Zep & Graphiti T1
Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.
- Cognee T1
"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.
- Hindsight (Vectorize) T1
Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.
- Memvid T2
Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).
- Supermemory T1
Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.