Ranking for AI agents
Best tools for AI agents to store and retrieve memory
Let an agent persist and retrieve conversation, user, task, or operating context across steps and sessions. We reviewed 14 products from 9 companies on a 100-point evidence score. These 8 earned a place.
Updated Oct 20, 202614 products reviewed9 companies
Market noteScores reflect documented task fit, adoption evidence, product detail, pricing and market fit. Vendor claims remain unverified unless independently corroborated. Missing evidence indicates uncertainty, not poor product quality.
- 1
Graphiti
by Zep
Temporal knowledge graphs, hybrid retrieval, and built-in MCP concretely support agent memory. A permissive open-source license is explicitly stated.
Best for time-aware agent memory using an open-source framework with MCP accessFree plan
- Task fit
- 39/40
- Adoption
- 7/20
- Evidence
- 14/15
- Pricing
- 14/15
- Market fit
- 10/10
- 2
Cavemem
by Caveman
Persists compressed agent learnings in local SQLite and serves them through three MCP tools, with explicit $0 pricing.
Best for local agent memory that preserves learnings, code references, and pathsFree plan
- Task fit
- 40/40
- Adoption
- 3/20
- Evidence
- 13/15
- Pricing
- 15/15
- Market fit
- 10/10
- 3
Mem0 Platform
by Mem0
APIs and SDKs manage and retrieve agent memories, while the supplied company description explicitly supports retaining preferences and interactions across sessions.
Best for retaining user preferences and conversational context through a hosted memory APIFree plan
- Task fit
- 40/40
- Adoption
- 7/20
- Evidence
- 13/15
- Pricing
- 8/15
- Market fit
- 10/10
- 4
Agent Drive
by Blaxel
The agent-oriented distributed filesystem shares files and session context across sandboxes, supported by company-level evidence of persistent shared memory.
Best for sharing file-backed operating context among sandboxed agentsFree plan
- Task fit
- 36/40
- Adoption
- 4/20
- Evidence
- 11/15
- Pricing
- 13/15
- Market fit
- 10/10
- 5
Wato
MCP gives agents access to shared memory, and explicit use cases include saving fixes and investigation context for subsequent agents to reuse.
Best for team agents preserving incident findings, fixes, and reusable operating context
- Task fit
- 38/40
- Adoption
- 4/20
- Evidence
- 12/15
- Pricing
- 0/15
- Market fit
- 10/10
- 6
Helix Cloud
by HelixDB
Persistent, queryable agent memory directly supports storing and retrieving context. Agent registration through an MCP endpoint establishes first-class agent access. Concrete database capabilities and numeric pricing are supplied; adoption evidence is limited to company-following proxies.
Best for agents needing persistent memory combining relationships, semantic retrieval, and recencyFrom $5/month
- Task fit
- 30/40
- Adoption
- 5/20
- Evidence
- 8/15
- Pricing
- 11/15
- Market fit
- 10/10
- 7
ReasonBlocks
Agent-framework middleware supplies semantic file memory and reasoning reuse, with company evidence explicitly describing remembered solutions and benefits across runs.
Best for agent runtimes reusing prior solutions and file context across runs
- Task fit
- 36/40
- Adoption
- 3/20
- Evidence
- 12/15
- Pricing
- 0/15
- Market fit
- 10/10
- 8
Memory
by Pallet
Stores SOPs, customer rules, and exceptions in a taxonomy that explicitly supplies agents with reusable operating context.
Best for freight-operation agents needing procedural and customer-specific memory
- Task fit
- 36/40
- Adoption
- 2/20
- Evidence
- 10/15
- Pricing
- 3/15
- Market fit
- 9/10
We reviewed 14 candidate products from 9 companies and published 8 positions. Totals include duplicate company entries and products removed during task, market and evidence review. Each company holds at most one position.