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Letta vs Funes vs Supermemory

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Letta vs Funes vs Supermemory, side by side
Lettaby LettaRemove Letta from this comparisonFunesby Hugging FaceRemove Funes from this comparisonSupermemoryby SupermemoryRemove Supermemory from this comparison
Sets it apart
  • Streams responses
  • No auth required
  • Official Hugging Face listing
  • Newest listing (added Sep 13, 2026)
—
What it isStateful agent framework with built-in memory. Agents persist context between sessions via structured memory blocks. Formerly MemGPT. Self-hosted or managed cloud.Give coding agents durable memory of past sessions — a local-first layer combining vector and BM25 search over prior conversations, usable from Claude Code, Codex, and other harnesses.Memory API for AI applications. Store and retrieve user memories, bookmarks, and knowledge with semantic search. One unified API for personal and enterprise memory.
ProviderLettaHugging FaceSupermemory
Official vendorNot an official listingHugging FaceNot an official listing
VerifiedYesSame for all
AccessAPI, CLIMCP, CLIAPI, MCP
AuthAPI KeyNoneAPI Key
MCP serverNo MCP serverIn its setup guideIn its setup guide
CLI installIn its docsInstall scriptcurl -fsSL "https://huggingface.co/buckets/huggingface/funes/resolve/install.sh?src=readme" | shNo CLI
API base URLIn its docsNo APIIn its docs
SkillsPersist agent state between sessions using structured in-context memory blocks, Dynamically edit and archive memory to maintain coherent long-horizon agent behavior, Orchestrate multi-agent pipelines where agents pass typed memory between each other, Execute tool calls with full persistence of tool outputs across sessions, Deploy self-hosted or cloud agents with consistent stateful behavior at scaleSession Recall, Hybrid Search, Cross Harness MemoryIngest memories from any source via a unified memory ingestion pipeline, Semantic retrieval of relevant memories ranked by context similarity, Build shared knowledge bases accessible across teams and agent instances, Store multiple content formats including text, URLs, and structured data, Collaborate on shared memory spaces with role-based access control
StreamingYesNoNo
Push notificationsNoSame for all
CategoriesMemory & StateSame for all
Tagsmemory, stateful-agents, memgpt, open-source, self-hosted, python, orchestrationsession-memory, hybrid-search, local-first, cross-agent-memory, bm25, vector-search, hugging-facememory, knowledge-base, rag, semantic-search, open-source
Listed sinceApr 8, 2026Sep 13, 2026Apr 8, 2026
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/compare?a=letta&b=funes&c=supermemory
3 listings side by side · "same" marks a row every column shares
listings
lettaapi+cliStreams responsesfunescli+mcpNo auth required; Official Hugging Face listing; Newest listing (added Sep 13, 2026)supermemoryapi+mcp—
rows
descriptionStateful agent framework with built-in memory. Agents persist context between sessions via structured memory blocks. Formerly MemGPT. Self-hosted or managed cloud. | Give coding agents durable memory of past sessions — a local-first layer combining vector and BM25 search over prior conversations, usable from Claude Code, Codex, and other harnesses. | Memory API for AI applications. Store and retrieve user memories, bookmarks, and knowledge with semantic search. One unified API for personal and enterprise memory.
providerLetta | Hugging Face | Supermemory
officialNot an official listing | Hugging Face | Not an official listing
verified (same)Yes
accessAPI, CLI | MCP, CLI | API, MCP
authAPI Key | None | API Key
mcpNo MCP server | In its setup guide | In its setup guide
cliIn its docs | Install script: curl -fsSL "https://huggingface.co/buckets/huggingface/funes/resolve/install.sh?src=readme" | sh | No CLI
apiIn its docs | No API | In its docs
skillsPersist agent state between sessions using structured in-context memory blocks, Dynamically edit and archive memory to maintain coherent long-horizon agent behavior, Orchestrate multi-agent pipelines where agents pass typed memory between each other, Execute tool calls with full persistence of tool outputs across sessions, Deploy self-hosted or cloud agents with consistent stateful behavior at scale | Session Recall, Hybrid Search, Cross Harness Memory | Ingest memories from any source via a unified memory ingestion pipeline, Semantic retrieval of relevant memories ranked by context similarity, Build shared knowledge bases accessible across teams and agent instances, Store multiple content formats including text, URLs, and structured data, Collaborate on shared memory spaces with role-based access control
streamingYes | No | No
push (same)No
categories (same)Memory & State
tagsmemory, stateful-agents, memgpt, open-source, self-hosted, python, orchestration | session-memory, hybrid-search, local-first, cross-agent-memory, bm25, vector-search, hugging-face | memory, knowledge-base, rag, semantic-search, open-source
addedApr 8, 2026 | Sep 13, 2026 | Apr 8, 2026
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