Agent MemoryUnclaimed

Memary

An open-source memory system that augments autonomous agents with persistent knowledge graphs to overcome context window limitations

Also known as
memary

What is Memary?

An open-source framework that extends autonomous agent capabilities by storing interactions and knowledge in graph structures, enabling agents to maintain continuity and access relevant information across sessions through entity extraction and memory compression techniques.

Independently observed

Memary pricing

We don't have Memary's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

Pricing as of verify at live pricing ↗Independently observed
FreeFree tier

Free and open source

What Memary does

The capabilities that matter for agent memory, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Architecture model
Open source self hosted
Graph based entity relationship extraction
✓
Automatic context window rolling summarization
✓
Semantic vs episodic event chronological memory
✓
Cross session and multi thread user persistence
✓
Memory conflict resolution and fact updating
-
Multi tenant user and agent isolation
✓
Native langchain and llamaindex memory classes
✓
Time decay and recency weighted retrieval
✓
Zero data retention and pii redaction layer
-
SOC2 type ii
✗
Mit or apache permissive oss license
-
Pricing model
Free open source
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Self-hosted

Integrations (9)

Independently observed
ai_models
  • Ollama⇄•
  • OpenAI→
  • Perplexity→
database
  • Neo4j⇄•
tools
  • Google Maps→
financial_data
  • Alpha Vantage→
  • FalkorDB
  • LangChain
  • LlamaIndex

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Memary FAQ

Common questions about Memary, answered from independent, dated evidence.

What is Memary?

A memory layer for autonomous agents built on knowledge graphs. It tracks entities, relationships, and events with timestamps, supports multi-agent setups with isolated memory contexts, and integrates with LangChain and LlamaIndex to help agents evolve their knowledge through interactions. It is indexed under Agent Memory.

Source: https://github.com/pricing

Is Memary free to use?

Memary is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.

Source: https://github.com/pricing

What platforms does Memary support?

Memary supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://github.com/pricing

Can Memary be self-hosted?

Yes. Memary can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://github.com/pricing

What does Memary integrate with?

We have confirmed 3 integrations for Memary, including FalkorDB, LangChain and LlamaIndex. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://github.com/pricing

Is Memary open source?

Yes. Memary is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/kingjulio8238/memary

Memary alternatives

Other agent memory we track, ranked by the same independent score.

All Memary alternatives, ranked →

Compare Memary

Side by side against other agent memory, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Memary, not the verdict.

Balanced composite 54 / 100
low · 19%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Release cadence940.087.6✓
Capabilities870.087.0✓
Stars650.053.0✓
Integrations260.051.4✓
Dependent projects00.050.0✓
Development activity00.140.0-
Security posture00.120.0-
Package downloads00.040.0-
Security score00.050.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Adoption

AttributeValueEvidence
Github stars2,660highsource · 2026-10-14 · 90%
Dependent repos0highsource · 2026-10-14 · 85%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesSoc2 type ii: No · Pricing model: free_open_source · Architecture model: open_source_self_hosted · Multi tenant user and agent isolation: Yes · Time decay and recency weighted retrieval: Yes · Graph based entity relationship extraction: Yesmediumsource · 2026-10-14 · 60%

Integrations

AttributeValueEvidence
Count7mediumsource · 2026-10-14 · 60%

Language

AttributeValueEvidence
PrimaryJupyter Notebookhighsource · 2026-10-14 · 90%

License

AttributeValueEvidence
SpdxMIThighsource · 2026-10-14 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-14 · 60%
Modelfreemediumsource · 2026-10-14 · 60%
Price levelfreemediumsource · 2026-10-14 · 60%
TransparentYesmediumsource · 2026-10-14 · 60%

Release

AttributeValueEvidence
Cadence days11mediumsource · 2026-10-14 · 70%
History6 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fkingjulio8238%2Fmemary&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
Trust centerhttps://github.com/securitymediumsource · 2026-10-14 · 60%
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Last updated . Canonical URI: https://www.vioscale.ai/software/memary.