Memoripy

Memory layer for AI assistants — semantic short-term and long-term memory with concept-graph linking and decay/reinforcement.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 16 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Type: Python OSS memory library (short+long term) repo fix
Tier: T4
Section: Dedicated memory layers
Created: 2024-10 repo fix
Latest release: v0.1.2 (2024-11-28) — PyPI registry fix
License: Apache-2.0 repo fix
GitHub: caspianmoon/memoripy — ~695 stars, 32 commits on master repo fix
Pricing: free / open source (Apache-2.0) repo fix
Funding: searched not found fix
Freshness: 2026-10-22 fix
Layer: agent-infra repo fix
Licensing: open-source repo fix
Deployment locus: local repo fix
Platform vs product: platform repo fix
Developer activity: OpenRank 0.36 (12-mo avg 2.2) · 1 participants — 2025-10 third-party fix
Maintainer health: 4 issues in 90 days, 25% answered or closed · 1 release in 12 months (latest 2026-08-17) · bus factor 1 — as of 2026-10-31 repo

Optimised for: searched not found

Anti-fit: searched not found

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Alternatives to Memoripy → live options ranked by shared design, licence, hosting and MCP support

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.
Letta / MemGPT T1
Originated as MemGPT (UC Berkeley), where the model pages its own memory between context, recall and archival tiers. The product now centres on Letta Code, a stateful agent harness whose agents rewrite their own memory, skills and prompts over time.
Memori T2
Structured, persistent memory layer for AI agents. Open source.

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2026-10-22
- Latest release first recorded as “v0.1.2 (2024-11-28) — PyPI” source
- Pricing first recorded as “free / open source (Apache-2.0)” source
- MCP support first recorded as “yes — official stdio MCP server via [mcp] extra (memoripy mcp)” source
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