Tencent ima.copilot
Tencent's knowledge-management productivity AI, powered by Hunyuan. Copilot mode adds a four-module persistent memory architecture: Soul (agent persona), User (profile), Memory (long-term declarative), Agent (learned skills/task experience). Memory persists across devices and sessions; context awareness reads active web pages and files automatically.
At a glance
- Type
- Four-module self-evolving personal memory
- Tier
- T1
- Created
- searched not found
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Free
- Funding
- parent is public
Taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- extraction
- unit
- document
- governance
- opaque
- conflict
- none
When to use
Optimised for: personal-knowledge-management UX + AI-augmented note-taking
Anti-fit: not for enterprise / programmatic use; not for compliance-regulated workloads
Pros & cons
Pros
Deeply integrated with the Chinese ecosystem (WeChat, QQ, Tencent cloud); the four-module decomposition cleanly separates persona, user model, episodic memory, and procedural memory — most products treat these as one bag.
Cons
Primarily Chinese-market product; Hunyuan model and memory infrastructure are closed; no peer-reviewed benchmark results; limited English-language documentation.
Claims & capabilities
ima.copilot 2.0 (Oct 2025) introduced Task Mode with report and podcast generation; high-accuracy recall of prior work context across sessions.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Managed-only
- 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 personal ai / pkm / lifelogging memory in the catalog, ranked by inbound references.
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