Hermes Agent memory (Nous Research)
https://github.com/NousResearch/hermes-agent
Nous Research's open-source self-improving agent keeps an agent-curated MEMORY.md/USER.md notebook injected at session start, full-text (FTS5) search over past sessions that returns raw messages without LLM summarisation, and optional Honcho user modelling. one of the most-starred agent projects of 2026.
Active · Verified 2026-10-23 · fresh as of 2026-10-23 · 17 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Tier
- T3
- Section
- Framework-embedded memory
- Created
- 2025-07-22 repo fix
- Latest release
- last commit 2026-10-22 repo fix
- Pricing
- searched not found fix
- Funding
- searched not found fix
- Freshness
- 2026-10-23 fix
- Layer
- agent-infra repo fix
- Licensing
- open-source repo fix
- Protocols
- mcp-client, openai-compatible vendor fix
- Developer activity
- OpenRank 1698.17 (12-mo avg 511.47) · 8588 participants — 2026-09 third-party fix
Memory taxonomy
- storage
- file
- retrieval
- injection
- persistence
- long-term
- update
- agent-controlled
- unit
- fact
- governance
- editable
- conflict
- agent
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
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Cons
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Claims & capabilities
The self-improving AI agent built by Nous Research . It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
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- A2A
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- OpenTelemetry
- searched not found
Alternatives to Hermes Agent memory (Nous Research) → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other framework-embedded memory in the catalog, ranked by inbound references.
- Spring AI ChatMemory T3
Wraps conversation memory behind an Advisor abstraction. MessageWindowChatMemory default 20-msg sliding window (preserves system messages); pluggable ChatMemoryRepository backends (in-memory, JDBC, Cassandra, Neo4j). Memory injected as cross-cutting concern at the ChatClient level.
- Flowise Memory T1
Discontinued: Flowise (acquired by Workday, Aug 2025) was sunset in 2026 — code freeze 2026-07-29, GitHub repo archived 2026-08-13, end of life 2026-08-31. Was a visual LangChain canvas with LangChain-native memory nodes (Buffer, Buffer Window, Conversation Summary Buffer) backed by an internal chat_message DB table; Buffer Window kept the last K interactions, Summary Buffer compressed older turns while keeping recent ones verbatim.
- 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
AutoGen's memory layer: ListMemory chronological context plus teachable agents that vectorise corrections; integrates with Mem0/Zep rather than building deep memory natively. Microsoft AutoGen is in maintenance mode (community managed, bug and security fixes only), and Microsoft points new projects to Microsoft Agent Framework.
- CrewAI Memory T2
Memory subsystem inside the CrewAI orchestration framework; integrates with Mem0 for the long-term tier.
- Semantic Kernel Memory T2
Microsoft Semantic Kernel's memory plugin (Microsoft.SemanticKernel.Plugins.Memory): a plug-in approach to long-term memory in the SK agent framework (agent memory marked experimental). Semantic Kernel's README names Microsoft Agent Framework 1.0 as its enterprise-ready successor, with a migration guide.
Sources (16 cited facts, 1 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Framework repo
- What it does & what's distinct Nous Research's open-source self-improving agent keeps an agent-curated MEMORY.md/USER.m… vendor
- Claims / benefits The self-improving AI agent built by Nous Research . It's the only agent with a built-in… repo
- Created 2025-07-22 repo
- Latest release last commit 2026-10-22 repo
- License MIT repo
- GitHub https://github.com/NousResearch/hermes-agent (256157★) repo
- Mindshare 256157 GitHub stars repo
- Project & sources https://github.com/NousResearch/hermes-agent repo
- architecture-deployment-locus local repo
- licensing-bucket open-source repo
- positioning-platform-vs-product product repo
- taxonomy-three-layer-rollup agent-infra repo
- developer-activity-opendigger {"activity":19386.23,"as_of":"2026-09","openrank_12mo":511.47,"openrank_current":1698.17… third-party
- sdk-languages python registry
- protocol-support mcp-client,openai-compatible vendor
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-23 Added to the catalog #222
Related systems
Referenced by (1)
- Mem0 integrates with — Mem0 docs have a Hermes Agent integration page (Add persistent memory to Hermes Agent with Mem0 Cloud, a self-hosted server, or the in-process OSS SDK). (verified 2026-10-29)