Anda Hippocampus

https://github.com/ldclabs/anda-hippocampus

Native graph-based memory for autonomous AI agents. Bio-inspired sleep-based memory consolidation.

At a glance

Type
Bio-inspired sleep consolidation
Tier
T2
Created
2026-03
Latest release
v0.4.17 2026-05-05
License
Apache-2.0
GitHub
44★ Rust
Pricing
OSS (Apache-2.0 + MIT); free — no commercial pricing
Funding
searched not found

Taxonomy

storage
graph
retrieval
graph-traversal
persistence
long-term
update
consolidation
unit
episode
governance
opaque
conflict
none

When to use

Optimised for: bio-inspired sleep consolidation (research positioning)

Anti-fit: no anti-fit explicitly stated

Pros & cons

Pros

Hippocampus-inspired neural memory model — explicit episodic encoding and consolidation.

Cons

Research-oriented; production deployment limited.

Claims & capabilities

Apache-2.0 + MIT; bio-inspired sleep-based memory consolidation; native graph for autonomous AI agents; 44 GitHub stars; v0.4.17 released 2026-05-05; from LDC Labs (creators of ICPanda DAO on ICP blockchain); Rust implementation

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Self-hosted on-premises (full data privacy; no cloud service)
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
not documented publicly
A2A
not supported
OpenTelemetry
not documented publicly

Similar systems

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  • Supermemory T1

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Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.