Botpress LLMz
https://botpress.com/features/knowledge-bases
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.
Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 48 cited facts, 3 with a third-party source · 2 recorded changes · Suggest a correction
At a glance
- Type
- Vector DB + LLMz engine + KB vendor fix
- Tier
- T1
- Section
- Framework-embedded memory
- Created
- 2017 (Botpress open-sourced on GitHub January 2017, founded by Sylvain Perron and Justin Watson) third-party fix
- Latest release
- not applicable — not OSS fix
- License
- MIT (SDK/integration packages in botpress/botpress) repo fix
- GitHub
- botpress/botpress — ~14.9k stars repo fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- SDK languages
- typescript repo fix
- Compliance
- ccpa, gdpr, hipaa, soc2-type2 vendor fix
- Developer activity
- OpenRank 9.09 (12-mo avg 19.45) · 22 participants — 2026-09 third-party fix
Memory taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- cross-session
- update
- extraction
- unit
- document
- governance
- inspectable
- conflict
- llm-arbitrate
When to use
Optimised for: conversational AI + per-plan vector quota + KB
Anti-fit: searched not found
Pros & cons
Pros
Focused on conversational bot deployments at scale — memory is structured around conversation lifecycle (handoff, escalation, return).
Cons
Bot-builder market positioning narrows applicability; less relevant for general agentic apps.
Claims & capabilities
Free 500 msgs/mo; Plus $89/mo (1 GB Vector DB); Team $495/mo (2 GB).
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Both (OSS self-hosted; Botpress Cloud SaaS; private cloud option)
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- via official adapter — Botpress MCP integration
- A2A
- searched not found
- OpenTelemetry
- searched not found
Compare Botpress LLMz with…
Alternatives to Botpress LLMz → 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.
- Hermes Agent memory (Nous Research) T3
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.
Sources (47 cited facts, 3 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Vector DB + LLMz engine + KB vendor
- What it does & what's distinct Per-plan vector-DB storage quota + LLMz autonomous engine (in-session working memory) + … vendor
- Claims / benefits Free 500 msgs/mo; Plus $89/mo (1 GB Vector DB); Team $495/mo (2 GB). vendor
- Modalities text vendor
- Created 2017 (Botpress open-sourced on GitHub January 2017, founded by Sylvain Perron and Justin… third-party
- License MIT (SDK/integration packages in botpress/botpress) repo
- GitHub botpress/botpress — ~14.9k stars repo
- Mindshare 1 press ~100 (Botpress jobs vendor
- Funding $40M total; Series A $15M 2021; Series B $25M Jun 2025; Inovia Capital backed vendor
- Customers / scale 51-200 ppl No named customers publicly disclosed vendor
- Pricing Free 500 msgs/mo; Plus $89/mo 1GB Vector DB; Team $495/mo 2GB; Enterprise custom vendor
- Compliance SOC 2 Type II; GDPR (DPA, DPO appointed, EU representative); enterprise SSO + RBAC + aud… vendor
- Data handling On-prem, private cloud, or managed SaaS; GDPR standard contractual clauses; data process… vendor
- Deployment Both (OSS self-hosted; Botpress Cloud SaaS; private cloud option) vendor
- HQ Canada (Montreal) vendor
- Founders / pedigree Botpress Inc. (Sylvain Perron & Nicolas Hoizey, co-founders; Montreal-based) vendor
- Memory volume / scale per-plan vector-DB quota (vendor-set; undisclosed upper bound) vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-tenant vendor
- Contradiction handling LLM resolves and overwrites vendor
- MCP support via official adapter — Botpress MCP integration vendor
- Webhooks / events webhooks supported vendor
- Import / export JSON bot export vendor
- Integration count 0 vendor
- Orchestration single-agent vendor
- Programmatic control declarative config + REST vendor
- Pricing specifics per-message + tier flat-rate: Free 500 msgs/mo; Plus $89/mo (1GB Vector); Team $495/mo (… vendor
- Agent abstraction state-machine (LLMz autonomous engine) vendor
- Memory primitives multiple (working memory + Knowledge Base vector) vendor
- LLM lock multi-vendor vendor
- Runtimes declarative cross-language vendor
- Session handling persistent thread (cross-session user memory) vendor
- Validated verticals contact center, customer support, internal IT vendor
- Time to running <10min (hosted SaaS) vendor
- Optimised for conversational AI + per-plan vector quota + KB vendor
- Adjacent infrastructure requires Botpress; BYO LLM vendor
- Pros Focused on conversational bot deployments at scale — memory is structured around convers… vendor
- Cons Bot-builder market positioning narrows applicability; less relevant for general agentic … vendor
- Project & sources KB docs vendor
- adoption-accelerator cdl-2019 third-party
- architecture-deployment-locus cloud vendor
- licensing-bucket open-core vendor
- positioning-platform-vs-product both vendor
- taxonomy-three-layer-rollup agent-infra repo
- developer-activity-opendigger {"activity":68.21,"as_of":"2026-09","openrank_12mo":19.45,"openrank_current":9.09,"parti… third-party
- compliance-certifications ccpa,gdpr,hipaa,soc2-type2 vendor
- sdk-languages typescript repo
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
- Pricing “Free 500 msgs/mo; Plus $89/mo 1GB Vector DB; Team $495/mo 2GB; Enterprise custom; AI Spend billed separately per LL…” → “Free 500 msgs/mo; Plus $89/mo 1GB Vector DB; Team $495/mo 2GB; Enterprise custom” source
- 2026-10-22
- License “not applicable — not OSS” → “MIT (SDK/integration packages in botpress/botpress)” source