Permanent Memory For AI Builders

The local-first memory layer for coding agents.

Memovyn gives Claude Code, Cursor, Codex, and MCP-native agents a shared, structured, inspectable memory that stays private, stays fast, and keeps projects moving.

memovyn / project context
$ memovyn context memovyn-core
Architecture decisions stay alive Project-scoped recall with multi-dimensional taxonomy and persistent learning.
reinforced
Repeated mistakes become avoid rules Failures are consolidated into durable retrieval signals instead of getting buried.
avoid pattern
Progressive disclosure saves tokens Index, summary, timeline, and full detail keep context lean until the agent needs more.
token aware

Structured Memory

Rich taxonomy decomposition turns every memory into a durable, navigable object instead of a flat note.

Learning That Compounds

Reinforcement, punishment, and consolidated avoid patterns push agents away from repeated regressions and toward proven decisions.

Inspectable By Humans

Debug traces, history, analytics, and direct controls make memory visible instead of mysterious.

Performance that stays out of the way.

Built around fast add paths, aggressive ranking shortcuts, and progressive retrieval so the memory layer helps the agent instead of becoming the bottleneck.

< 1ms Average add time on the 1k benchmark path.
2.9ms Search p95 at 1k memories in steady-state release mode.
8.9ms Search p95 at 5k memories with full ranking and analytics enabled.
29.9ms 200k steady-state search p95 in the large-scale simulation path.