Vs · Mem0
The biggest generic memory layer against memory built for code. Conversation facts vs engineering knowledge.
Direct answer
Anvaya vs Mem0 is generic vs code-native. Mem0 (~58K stars) is the leading hosted memory API for agent products: user/agent/app/run-scoped facts, vector semantic search (graph retrieval on higher tiers), 21 framework integrations, Hobby tier to start — ideal when your product needs per-user memory. Anvaya Mind is memory for developers' coding agents: local-first (SQLite WAL + hand-written HNSW, no account), with code-shaped intelligence generic APIs lack — LCS edit dedup, dual file+symbol vector search, git-anchored drift invalidation, test-signal causal threads, Beta-Bernoulli outcome calibration, and 12–25x per-node compression. Mem0 wins product memory with hosted ops; Anvaya wins codebase memory with sovereignty and software-native retrieval. Different jobs — and Anvaya serves any MCP client, so teams can even mix them.
The Table
Questions
Mem0 is a generic memory API for any agent product: store conversation facts, retrieve by vector similarity, hosted SaaS or self-hosted with your own vector DB. Anvaya Mind is code-native and local-first: LCS dedup of edits, dual file+symbol search, git-drift invalidation, test-signal causal threads, outcome-calibrated utility — knowledge shaped like software work, not chat logs.
Building a product that needs per-user memory (support bot, personal assistant, multi-tenant app): Mem0's user/agent/app/run scopes, hosted ops, and 21-framework integrations are the faster path. Anvaya Mind is for developers whose agent works on codebases — different problem, different architecture.
Independent LongMemEval-style evaluations put single-strategy vector recall well below multi-strategy systems (published gaps up to ~49% vs ~95% in vendor comparisons — verify methodology before trusting any vendor number). Anvaya's answer is architectural: keyword + dual semantic + recency + graph + bug-boost + intent bias fused per query, then submodular packing. No single signal decides.
Hosted (Mem0 Cloud) wins on ops: no database to run. Local (Anvaya) wins on sovereignty: NDA code, regulated repos, and offline work can't use a hosted memory API at all. Anvaya's store is also plain files (SQLite, flat index, NDJSON log) — back it up with git, inspect with any tool.
One binary. 11+9 Rust crates. 545 tests. Hand-written HNSW index. Three transport modes. Four providers, Ollama, Anthropic, OpenAI, Siemens. Zero API keys required to start. Mind remembers everything after the first session.