OUR MISSION

Give every AI agent perfect memory

Dakera builds open-core memory infrastructure so AI agents can remember context across conversations, sessions, and teams — without sending data to third parties.

88.2%
LoCoMo benchmark
4
SDK languages
0
External dependencies
MIT
Licensed SDKs

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.

How Dakera Works

A single binary handles the entire memory lifecycle — from ingestion through intelligent retrieval — with no external dependencies.

INTEGRATIONS
SDKs Python · JS · Rust · Go
MCP Claude · Cursor · Windsurf
REST / gRPC Direct API access
Frameworks LangChain · CrewAI · more
DAKERA ENGINE
Store
1Receive memory + metadata
2ONNX embed (on-device)
3Index across all engines
Recall
1ML classify query intent
2Parallel hybrid search
3RRF fusion + rerank
Decay
Access-weighted scoring
Important memories rise
×Stale memories fade
STORAGE
HNSW Vector
BM25 Index
Knowledge Graph
RocksDB

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

88.2% on LoCoMo — the standard benchmark for conversational memory. Built for real workloads with concurrent agents and high throughput.


The team

Dakera is built by a small, focused team of engineers who've shipped production AI systems and know the pain of stateless agents firsthand. We're iterating fast and building 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.

Get in touch: via LinkedIn or the waitlist form above.

Built with

Rust
Memory engine & server
RocksDB
Persistent storage engine
HNSW
Vector similarity search
BM25
Full-text search index
ONNX Runtime
On-device inference
Knowledge Graph
Entity extraction & linking
MCP Protocol
AI tool integration
OpenDAL
Tiered cloud storage
gRPC + REST
Dual API transport

Deploy in 5 minutes

One binary. No dependencies. Pull the Docker image, set your API key, and your agents start remembering.