Memvid

https://github.com/memvid/memvid

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).

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 52 cited facts, 2 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2025-05 repo fix
Latest release
v2.0.140 (2026-05-27) repo fix
License
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
SDK languages
python, rust, typescript repo fix

Memory taxonomy

storage
file
retrieval
similarity
persistence
long-term
update
append-only
unit
chunk
governance
inspectable
conflict
append

When to use

Optimised for: simplicity / minimal config (one .mv2 file)

Anti-fit: not for multi-tenant / concurrent-write production workloads

Pros & cons

Pros

Single-file .mv2 store you can git commit — memory becomes a first-class artifact, not a database; sub-ms reads from a Rust core.

Cons

Single-file format means scale ceilings; non-standard format limits ecosystem interop.

Claims & capabilities

Sub-millisecond ops (0.025ms P50, 0.075ms P99). Reports +35% on LoCoMo. 10–100× speedup vs the prior Python implementation.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Self-hosted only (single .mv2 file; no cloud service)
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
native (first-party) — claude-brain MCP
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.

  • 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.

Sources (51 cited facts, 2 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • Latest release “v2.0.139 2026-03-13” → “v2.0.140 (2026-05-27)” source
    #195

Related systems

Referenced by (1)

  • claude-brain builds on · same team as — claude-brain packages memvid (same GitHub org memvid/) as a Claude Code plugin; cross-listings note flagged this pair.