Comparison

Bilinc vs MemPalace.

MemPalace is a popular no-LLM memory system with 54,000 GitHub stars and strong LongMemEval performance. Bilinc matches or exceeds its benchmark scores while adding an entirely new layer: verifiable agent state with Z3 proof checking, AGM belief revision, and first-class rollback.

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Decision table

Feature comparison.

FeatureBilincMemPalace

ArchitectureZ3 verification + AGM revision + ChromaDBVerbatim storage + ChromaDB + text splitting

LongMemEval raw98.0% R@5 (no LLM)96.6% R@5

LongMemEval held-out hybridSame pipeline, no mode splitting98.4% R@5 (hybrid: verbatim + LLM summarization)

VerificationZ3 proof checking per commitNot supported

Belief revisionAGM belief revision engine (4 conflict strategies)Not supported

Contradiction detectionDedicated contradiction probe engineNot supported

Snapshot & rollbackTimeline snapshots with verifiable rollbackNot supported

Knowledge graphEntity-relation KG with temporal edgesNot supported

Audit trailFirst-class Cloud audit with programmatic replayNot applicable (single-file storage)

Multi-agent coordinationCloud-based multi-agent syncNot applicable (single-process)

LicenseSource-available BUSL 1.1 (Apache 2.0 roadmap)MIT

GitHub stars~8,200~54,000

Package sizeMinimal (Chromadb + Z3)Light (pure Python + Chromadb)

When Bilinc is the better choice

Production agent state management.

You need verifiable memory — every agent commit carries a Z3 proof.
You manage multiple agents sharing memory with conflicts to resolve.
You need rollback — rewind agent state to a known-good snapshot.
You want knowledge graph traversal across entities and temporal edges.
You need contradiction detection when agents disagree on facts.

When MemPalace is the better choice

Lightweight retrieval.

You want the largest community and 54k stars worth of resources.
You prefer a pure Python, minimal-dependency package.
You need simple verbatim storage and retrieval for single-agent flows.
You do not need verification, audit, or multi-agent coordination.

FAQ

Common questions.

Which one has better benchmark results?

On LongMemEval raw (no LLM), Bilinc scores 98.0% R@5 vs MemPalace 96.6% R@5. MemPalace achieves 98.4% R@5 in held-out hybrid mode using GPT summarization. Bilinc uses no LLM in the published Bilinc retrieval run. Keep this comparison scoped to LongMemEval-style retrieval evidence.

Both are no-LLM memory. What makes Bilinc different?

Both avoid LLM calls for retrieval, which is why both score well on LongMemEval. The difference is what happens around retrieval: Bilinc adds Z3 verification (every commit is provably consistent), AGM belief revision (new facts that contradict existing ones are resolved through configurable strategies), and a contradiction probe that surfaces conflicting agent beliefs. MemPalace focuses on pure retrieval and does not model agent state consistency.

Can I use Bilinc as a MemPalace replacement?

The API surface is different, but the core workflow maps: install pip package, create client, store memories, search. Bilinc adds Cloud features (multi-agent sync, audit, rollback) that MemPalace does not offer. Migration takes an afternoon for most agents.

Also compare

See how Bilinc stacks up against other solutions.

mem0.ai