DAKERA
Give every AI agent perfect memory
Dakera builds open-source memory infrastructure so AI agents can remember context across conversations, sessions, and teams — without sending data to third parties.
Why we're building Dakera
AI agents are getting smarter at reasoning, but they keep forgetting. Every time a conversation ends, the context is lost. Teams waste time re-explaining preferences. Customer support bots ask the same questions twice. Multi-agent systems can't share knowledge.
We believe memory is the missing layer in the AI stack. Not a simple key-value store — real memory that understands temporal relationships, supports hybrid retrieval, and builds knowledge graphs automatically.
Dakera is a single Rust binary that runs on your infrastructure. No external APIs, no embedding services, no databases to manage. Install, configure your AI client, and agents start remembering.
Self-hosted first
Your agent memory stays on your servers. No data leaves your infrastructure. Full control over storage, retention, and access.
Zero dependencies
One Rust binary. No Redis, no Postgres, no external embedding APIs. Dakera includes everything: storage, embeddings, retrieval, and knowledge graphs.
Open core
The memory engine is proprietary and free to self-host. SDKs for Python, JavaScript, Rust, and Go are MIT-licensed. Build on Dakera without vendor lock-in.
Production-grade
87.6% on LoCoMo — the standard benchmark for conversational memory. Built for real workloads with concurrent agents and high throughput.
The team
Dakera is built by engineers who've worked on production AI systems and know the pain of stateless agents firsthand. We're a small, focused team shipping fast and iterating in the open.
We believe the best infrastructure is invisible — it just works. Dakera should be as easy to set up as pulling a Docker image, and as reliable as the filesystem underneath it.
Join the community
Star us on GitHub, try the quickstart, or reach out if you're building with agent memory.