RWKV-7
https://github.com/BlinkDL/RWKV-LM
RWKV recurrent-LM family — linear-time, constant-memory inference; v7 ('Goose') is the SotA recurrent LM. Community-driven OSS, Linux Foundation hosted.
Active · Verified 2026-10-23 · fresh as of 2026-10-23 · 10 cited facts, 1 with a third-party source · Suggest a correction
At a glance
- Type
- RNN with transformer-level perf repo fix
- Tier
- T3
- Latest release
- searched not found fix
- License
- Apache-2.0 repo fix
- GitHub
- searched not found 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
- Developer activity
- OpenRank 0.15 (12-mo avg 2.26) · 2 participants — 2026-09 third-party fix
Memory taxonomy
- storage
- cache
- retrieval
- attention
- persistence
- session
- update
- overwrite
- unit
- summary
- governance
- opaque
- conflict
- out-of-scope
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
Linux Foundation AI project; community-funded.
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
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Similar systems
Other recent method papers — theorized, no distinct product in the catalog, ranked by inbound references.
- Compressive Transformer T3
Maintains recent states in full resolution while compressing older memories with learned compression functions. DeepMind.
- MemGPT v2 / agent-tools T3
Already in catalog as the foundational MemGPT paper. Note: Letta is the productionised successor (cross-listed).
- Transformer-XL T3
Extends context through segment-level recurrence + caching of hidden states from prior segments. Foundational long-context architecture.
- Generative Agents T3
Park et al. — landmark agent-simulation paper. Reflection + memory stream + retrieval enable believable agent behavior.
- MemoryBank T3
Enhances LLMs with long-term memory. Early influential paper.
- Reflexion T3
Language agents with verbal reinforcement learning.
Sources (9 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 RNN with transformer-level perf repo
- What it does & what's distinct RWKV recurrent-LM family — linear-time, constant-memory inference; v7 ('Goose') is the S… repo
- Claims / benefits Linux Foundation AI project; community-funded. repo
- Created 2023 repo
- License Apache-2.0 repo
- commit-trajectory [{"ym":"2021-08","cum":54},{"ym":"2021-09","cum":57},{"ym":"2021-10","cum":61},{"ym":"20… repo
- licensing-bucket open-source repo
- taxonomy-three-layer-rollup agent-infra repo
- developer-activity-opendigger {"activity":3.51,"as_of":"2026-09","openrank_12mo":2.26,"openrank_current":0.15,"partici… third-party