Comparison
TrueMemory vs Agent_Memory_Techniques
Verdict
Pick TrueMemory if trueMemory is an automatic capture and recall memory system for AI agents using SQLite; pick Agent_Memory_Techniques if agent_Memory_Techniques provides thirty Jupyter Notebooks that detail advanced memory techniques for LLMs.
Markdown twin · TrueMemory alternatives · Agent_Memory_Techniques alternatives
GraphCanon updated Oct 11, 2026
6views this month
vs
Trust & integrity
| Signal | TrueMemory | Agent_Memory_Techniques |
|---|---|---|
| Maintenance | Active (17d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Oct 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- TrueMemory
- Automatic capture and recall memory system for AI agents
- Agent_Memory_Techniques
- Agent memory for LLMs: runnable Jupyter notebooks on various memory and knowledge techniques.
Stars
- TrueMemory
- 380
- Agent_Memory_Techniques
- 1.1k
Forks
- TrueMemory
- 49
- Agent_Memory_Techniques
- 137
Open issues
- TrueMemory
- 16
- Agent_Memory_Techniques
- 2
Language
- TrueMemory
- Python
- Agent_Memory_Techniques
- Jupyter Notebook
Adopt for
- TrueMemory
- TrueMemory is an automatic capture and recall memory system for AI agents using SQLite.
- Agent_Memory_Techniques
- Agent_Memory_Techniques provides thirty Jupyter Notebooks that detail advanced memory techniques for LLMs.
Persona
- TrueMemory
- -
- Agent_Memory_Techniques
- -
Runtime
- TrueMemory
- -
- Agent_Memory_Techniques
- -
License
- TrueMemory
- AGPL-3.0
- Agent_Memory_Techniques
- Apache-2.0
Last pushed
- TrueMemory
- Sep 2, 2026
- Agent_Memory_Techniques
- Sep 18, 2026
Categories
- TrueMemory
- AI Agents, Developer Tools
- Agent_Memory_Techniques
- AI Agents, Evaluation & Observability, Model Training, Vector Databases
Trust and health
Maintenance
- TrueMemory
- Active (82%)
- Agent_Memory_Techniques
- Very active (96%)
Days since push
- TrueMemory
- 17d
- Agent_Memory_Techniques
- 1d
Open issues (now)
- TrueMemory
- 16
- Agent_Memory_Techniques
- 2
Stars delta
- TrueMemory
- +11 (30d)
- Agent_Memory_Techniques
- +264 (30d)
Open issues delta
- TrueMemory
- +3 (30d)
- Agent_Memory_Techniques
- +1 (30d)
Full report
- TrueMemory
- Trust report
- Agent_Memory_Techniques
- Trust report
Choose TrueMemory if…
- TrueMemory is primarily Python; Agent_Memory_Techniques is Jupyter Notebook.
- License: TrueMemory is AGPL-3.0, Agent_Memory_Techniques is Apache-2.0.
- Tags unique to TrueMemory: ai-agent, embeddings, llm, model-context-protocol.
- Also covers Developer Tools.
- When you want to ensure your memory storage remains entirely local without depending on cloud services.
When NOT to use TrueMemory
- If you need extensive scalability features offered by cloud-based memory solutions.
- When your project mandates integration exclusively with non-SQLite databases, because TrueMemory is centered around SQLite for its backend.
Choose Agent_Memory_Techniques if…
- Agent_Memory_Techniques is primarily Jupyter Notebook; TrueMemory is Python.
- License: Agent_Memory_Techniques is Apache-2.0, TrueMemory is AGPL-3.0.
- Tags unique to Agent_Memory_Techniques: ai-agents, anthropic, episodic-memory, graphiti.
- Also covers Evaluation & Observability, Model Training, Vector Databases.
- Need to integrate multiple types of memory systems such as episodic, semantic, or vector stores
When NOT to use Agent_Memory_Techniques
- Looking for a lightweight solution with minimal setup; this has extensive notebooks and dependencies
- Require real-time memory management without heavy computational overhead, as some techniques are more geared toward detailed offline analysis
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (buildingjoshbetter/TrueMemory) · observed Sep 20, 2026
- GitHub forks (buildingjoshbetter/TrueMemory) · observed Sep 20, 2026
- Last push (buildingjoshbetter/TrueMemory) · observed Sep 2, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Oct 11, 2026
- GitHub stars (NirDiamant/Agent_Memory_Techniques) · observed Sep 20, 2026
- GitHub forks (NirDiamant/Agent_Memory_Techniques) · observed Sep 20, 2026
- Last push (NirDiamant/Agent_Memory_Techniques) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TrueMemory 380 · Agent_Memory_Techniques 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between TrueMemory and Agent_Memory_Techniques?
- TrueMemory: Automatic capture and recall memory system for AI agents. Agent_Memory_Techniques: Agent memory for LLMs: runnable Jupyter notebooks on various memory and knowledge techniques.. See the comparison table for live GitHub stats and shared categories.
- When should I choose TrueMemory over Agent_Memory_Techniques?
- Choose TrueMemory over Agent_Memory_Techniques when TrueMemory is primarily Python; Agent_Memory_Techniques is Jupyter Notebook; License: TrueMemory is AGPL-3.0, Agent_Memory_Techniques is Apache-2.0; Tags unique to TrueMemory: ai-agent, embeddings, llm, model-context-protocol; Also covers Developer Tools; When you want to ensure your memory storage remains entirely local without depending on cloud services.
- When should I choose Agent_Memory_Techniques over TrueMemory?
- Choose Agent_Memory_Techniques over TrueMemory when Agent_Memory_Techniques is primarily Jupyter Notebook; TrueMemory is Python; License: Agent_Memory_Techniques is Apache-2.0, TrueMemory is AGPL-3.0; Tags unique to Agent_Memory_Techniques: ai-agents, anthropic, episodic-memory, graphiti; Also covers Evaluation & Observability, Model Training, Vector Databases; Need to integrate multiple types of memory systems such as episodic, semantic, or vector stores.
- When should I avoid TrueMemory?
- If you need extensive scalability features offered by cloud-based memory solutions. When your project mandates integration exclusively with non-SQLite databases, because TrueMemory is centered around SQLite for its backend.
- When should I avoid Agent_Memory_Techniques?
- Looking for a lightweight solution with minimal setup; this has extensive notebooks and dependencies Require real-time memory management without heavy computational overhead, as some techniques are more geared toward detailed offline analysis
- Is TrueMemory or Agent_Memory_Techniques more popular on GitHub?
- Agent_Memory_Techniques has more GitHub stars (1,069 vs 380). Stars measure visibility, not whether either tool fits your constraints.
- Are TrueMemory and Agent_Memory_Techniques open source?
- Yes - both are open-source projects on GitHub (TrueMemory: AGPL-3.0, Agent_Memory_Techniques: Apache-2.0).
- Where can I find alternatives to TrueMemory or Agent_Memory_Techniques?
- GraphCanon lists graph-backed alternatives at TrueMemory alternatives and Agent_Memory_Techniques alternatives (TrueMemory markdown twin, Agent_Memory_Techniques markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, TrueMemory or Agent_Memory_Techniques?
- TrueMemory: Active. Agent_Memory_Techniques: Very 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 TrueMemory and Agent_Memory_Techniques?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TrueMemory trust report; Agent_Memory_Techniques trust report.