Plastic Labs

Name: Plastic Labs
Brand: Plastic Labs

AI Native

Solving personal identity for the agentic world.

Est 2023|Valuation $34.4M|Raised $13.8M

LinkedIn 1K|Website|Web traffic 4K|FTEs 9|HQ New York, New York, US

01Competitive Landscape

Narrative analysis

Where Honcho appears differentiated: - Honcho treats memory as a system that performs reasoning and builds evolving representations for users and agents, including multi-participant sessions and peer-based models. (public open-source repository) - It exposes endpoints and patterns intended for low-latency prompt hydration and dialectic-style querying of stored context. Where alternatives may have advantages: - Mem0: pricing transparency and simpler procurement. - Zep: claimed SOC 2 Type II posture and explicit pricing documentation that can reduce vendor risk for enterprise buyers. - Vector DBs and DIY approaches (Postgres + pgvector): greater architectural transparency and potential cost control at the expense of building more custom logic. Market adoption / share: No credible market share numbers for Plastic Labs or Honcho were found in the sources reviewed for this report.

	Plastic Labs (Honcho)	Mem0	Zep (getzep)
Starting Price	Not publicly disclosed (in sources reviewed)	Published tiered pricing including a free tier and multiple paid plans (vendor pricing pages)	Published pricing; plan details vary across metered to enterprise offerings; SOC 2 Type II claimed (vendor pricing pages)
Recommended for	Teams building identity-aware, reasoning-focused agent memory solutions with an open-source option (public open-source repository available)	Teams seeking a clear memory-layer product with published tiers and straightforward procurement (vendor product pages)	Teams seeking a knowledge-graph oriented memory approach with a claimed SOC 2 Type II posture and documented pricing (vendor product pages)
Key Strength	Emphasizes reasoning over stored memory and provides an open-source core alongside a managed platform; vendor-published benchmark narrative (vendor blog)	Clear pricing and simpler procurement; developer-focused packaging (vendor product pages)	Knowledge graph–oriented memory positioning and compliance claims on paper; explicit pricing reduces vendor evaluation friction (vendor product pages)
Key Weakness	Limited independent reviews in public sources; published pricing for SaaS not available in reviewed materials; SOC 2 Type I listed rather than Type II (third-party trust listing)	May be less focused on identity modeling; product narratives and performance claims should be validated for specific workloads	Credit- or usage-based pricing may be harder to predict at scale; integration complexity can be a factor in some deployments

01Competitive Landscape

Narrative analysis

Where Honcho appears differentiated:

Honcho treats memory as a system that performs reasoning and builds evolving representations for users and agents, including multi-participant sessions and peer-based models. (public open-source repository)
It exposes endpoints and patterns intended for low-latency prompt hydration and dialectic-style querying of stored context.

Where alternatives may have advantages:

Mem0: pricing transparency and simpler procurement.
Zep: claimed SOC 2 Type II posture and explicit pricing documentation that can reduce vendor risk for enterprise buyers.
Vector DBs and DIY approaches (Postgres + pgvector): greater architectural transparency and potential cost control at the expense of building more custom logic.

Market adoption / share: No credible market share numbers for Plastic Labs or Honcho were found in the sources reviewed for this report.

	Plastic Labs (Honcho)	Mem0	Zep (getzep)
Starting Price	Not publicly disclosed (in sources reviewed)	Published tiered pricing including a free tier and multiple paid plans (vendor pricing pages)	Published pricing; plan details vary across metered to enterprise offerings; SOC 2 Type II claimed (vendor pricing pages)
Recommended for	Teams building identity-aware, reasoning-focused agent memory solutions with an open-source option (public open-source repository available)	Teams seeking a clear memory-layer product with published tiers and straightforward procurement (vendor product pages)	Teams seeking a knowledge-graph oriented memory approach with a claimed SOC 2 Type II posture and documented pricing (vendor product pages)
Key Strength	Emphasizes reasoning over stored memory and provides an open-source core alongside a managed platform; vendor-published benchmark narrative (vendor blog)	Clear pricing and simpler procurement; developer-focused packaging (vendor product pages)	Knowledge graph–oriented memory positioning and compliance claims on paper; explicit pricing reduces vendor evaluation friction (vendor product pages)
Key Weakness	Limited independent reviews in public sources; published pricing for SaaS not available in reviewed materials; SOC 2 Type I listed rather than Type II (third-party trust listing)	May be less focused on identity modeling; product narratives and performance claims should be validated for specific workloads	Credit- or usage-based pricing may be harder to predict at scale; integration complexity can be a factor in some deployments

Plastic Labs

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map