Praison Memory
https://github.com/MervinPraison/PraisonAI
PraisonAI multi-agent framework's built-in memory: per-agent short-term + cross-agent long-term, with Mem0 as the default long-term backend.
At a glance
- Type
- Multi-agent framework memory module
- Tier
- T3
- Section
- Framework-embedded memory
- Created
- 2024
- Latest release
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- License
- MIT
- GitHub
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- Pricing
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- Funding
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Taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- accretion
- unit
- episode
- governance
- plaintext
- conflict
- n/a
When to use
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Pros & cons
Pros
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Cons
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Claims & capabilities
Low-code agent framework with first-class memory primitive.
Technical surface
- API surface
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- Backend storage
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- Deployment
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- Embedding model
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- Multi-tenancy
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- MCP
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- A2A
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- OpenTelemetry
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Similar systems
Other framework-embedded memory in the catalog, ranked by inbound references.
- LangGraph Persistence T2
Distinct from LangMem. Built-in checkpointer saves graph state per super-step (short-term, thread-scoped). Store System adds long-term hierarchical key-value memory across threads with optional vector search + TTL. Postgres / Mongo / Redis stores for production.
- AutoGen Memory T2
ListMemory chronological context + teachable agents that vectorise corrections. Integrates with Mem0/Zep rather than building deep memory natively.
- CrewAI Memory T2
Memory subsystem inside the CrewAI orchestration framework; integrates with Mem0 for the long-term tier.
- AGiXT Adaptive Memory T2
Open-source AI automation platform. Routes between short-term and long-term memory adaptively across any LLM provider; plugin system for storage backends. Memory managed at the instruction-management layer — task context, instruction state, conversation history as unified agent state.
- Agno (Phidata) Memory T2
Agno (formerly Phidata). AgentStorage persists sessions to a DB; AgentMemory auto-classifies/store user preferences and conversation summaries. Single-line integrations with LanceDB, Pinecone, Weaviate, Qdrant.
- Botpress LLMz T1
Per-plan vector-DB storage quota + LLMz autonomous engine (in-session working memory) + Knowledge Base (semantic search over uploaded docs). Long-term user memory persists across sessions.