---
title: "WeKnora vs TencentDB-Agent-Memory"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/tencent-weknora-vs-tencentcloud-tencentdb-agent-memory"
tools: ["tencent-weknora", "tencentcloud-tencentdb-agent-memory"]
---

# WeKnora vs TencentDB-Agent-Memory

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick WeKnora when weKnora is primarily Go; TencentDB-Agent-Memory is TypeScript; pick TencentDB-Agent-Memory when tencentDB-Agent-Memory is primarily TypeScript; WeKnora is Go.

[WeKnora](https://weknora.weixin.qq.com) reports 18k GitHub stars, 2.5k forks, and 358 open issues, last pushed Jul 11, 2026. [TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) has 8.4k stars, 772 forks, and 257 open issues, last pushed Jun 26, 2026. Figures are from public GitHub metadata via [WeKnora's repository](https://github.com/Tencent/WeKnora) and [TencentDB-Agent-Memory's repository](https://github.com/TencentCloud/TencentDB-Agent-Memory).

| | [WeKnora](/tools/tencent-weknora.md) | [TencentDB-Agent-Memory](/tools/tencentcloud-tencentdb-agent-memory.md) |
| --- | --- | --- |
| Tagline | Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. | TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies. |
| Stars | 18,122 | 8,404 |
| Forks | 2,479 | 772 |
| Open issues | 358 | 257 |
| Language | Go | TypeScript |
| Adopt for | WeKnora is an open-source LLM knowledge platform that transforms raw documents into a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. It is built in Go and offers flexibility through its Docker Com포 | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | Other |
| Categories | LLM Frameworks, Vector Databases, AI Agents, Evaluation & Observability | LLM Frameworks, AI Agents, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [WeKnora](/tools/tencent-weknora.md) | [TencentDB-Agent-Memory](/tools/tencentcloud-tencentdb-agent-memory.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 15d |
| Open issues (now) | 358 | 257 |
| Security scan | No criticals | No lockfile |
| Full report | [trust report](/tools/tencent-weknora/trust.md) | [trust report](/tools/tencentcloud-tencentdb-agent-memory/trust.md) |

## Decision facts: WeKnora

- **Pricing:** freemium - Free and open-source under the MIT license.
- **Adopt for:** WeKnora is an open-source LLM knowledge platform that transforms raw documents into a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. It is built in Go and offers flexibility through its Docker Com포

## Choose when

### Choose WeKnora if…

- WeKnora is primarily Go; TencentDB-Agent-Memory is TypeScript.
- Pricing: Free and open-source under the MIT license..
- Tags unique to WeKnora: evaluation, embeddings, ai, generative-ai.
- Also covers Evaluation & Observability.
- WeKnora ships Docker support for self-hosted deployment.
- Use WeKnora if you prefer the Go (Golang) language ecosystem.

### Choose TencentDB-Agent-Memory if…

- TencentDB-Agent-Memory is primarily TypeScript; WeKnora is Go.
- Tags unique to TencentDB-Agent-Memory: memory, llm, local-first, openclaw-plugin.
- Leaner open-issue backlog (257).

## When NOT to use WeKnora

- Avoid WeKnora if your team's primary expertise is not in Go (Golang).
- If you require real-time updates that are more seamlessly integrated with external systems, as WeKnora focuses on internal maintenance processes.
- WeKnora might not be the best fit if your specific needs require proprietary licensing or access to features beyond its MIT License.

## When NOT to use TencentDB-Agent-Memory

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## Common questions

### What is the difference between WeKnora and TencentDB-Agent-Memory?

WeKnora: Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki.. TencentDB-Agent-Memory: TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.. See the comparison table for live GitHub stats and shared categories.

### When should I choose WeKnora over TencentDB-Agent-Memory?

Choose WeKnora over TencentDB-Agent-Memory when WeKnora is primarily Go; TencentDB-Agent-Memory is TypeScript; Pricing: Free and open-source under the MIT license.; Tags unique to WeKnora: evaluation, embeddings, ai, generative-ai; Also covers Evaluation & Observability; WeKnora ships Docker support for self-hosted deployment; Use WeKnora if you prefer the Go (Golang) language ecosystem.

### When should I choose TencentDB-Agent-Memory over WeKnora?

Choose TencentDB-Agent-Memory over WeKnora when TencentDB-Agent-Memory is primarily TypeScript; WeKnora is Go; Tags unique to TencentDB-Agent-Memory: memory, llm, local-first, openclaw-plugin; Leaner open-issue backlog (257).

### When should I avoid WeKnora?

Avoid WeKnora if your team's primary expertise is not in Go (Golang). If you require real-time updates that are more seamlessly integrated with external systems, as WeKnora focuses on internal maintenance processes. WeKnora might not be the best fit if your specific needs require proprietary licensing or access to features beyond its MIT License.

### When should I avoid TencentDB-Agent-Memory?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### Is WeKnora or TencentDB-Agent-Memory more popular on GitHub?

WeKnora has more GitHub stars (18,122 vs 8,404). Stars measure visibility, not whether either tool fits your constraints.

### Are WeKnora and TencentDB-Agent-Memory open source?

Yes - both are open-source projects on GitHub (WeKnora: Other, TencentDB-Agent-Memory: Other).

### Where can I find alternatives to WeKnora or TencentDB-Agent-Memory?

GraphCanon lists graph-backed alternatives at [WeKnora alternatives](/tools/tencent-weknora/alternatives) and [TencentDB-Agent-Memory alternatives](/tools/tencentcloud-tencentdb-agent-memory/alternatives) ([WeKnora markdown twin](/tools/tencent-weknora/alternatives.md), [TencentDB-Agent-Memory markdown twin](/tools/tencentcloud-tencentdb-agent-memory/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/tencent-weknora-vs-tencentcloud-tencentdb-agent-memory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, WeKnora or TencentDB-Agent-Memory?

WeKnora: Very active. TencentDB-Agent-Memory: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for WeKnora and TencentDB-Agent-Memory?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [WeKnora trust report](/tools/tencent-weknora/trust); [TencentDB-Agent-Memory trust report](/tools/tencentcloud-tencentdb-agent-memory/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=tencent-weknora`](/api/graphcanon/graph?tool=tencent-weknora)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
