Comparison
Agent_Memory_Techniques vs statewave
Verdict
Pick Agent_Memory_Techniques if agent_Memory_Techniques provides thirty Jupyter Notebooks that detail advanced memory techniques for LLMs; pick statewave if statewave focuses on reproducibility and provenance in memory management for AI agents, using Postgres plus pgvector for self-hosted operations rather than relying on query-time retrieval.
Markdown twin · Agent_Memory_Techniques alternatives · statewave alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | Agent_Memory_Techniques | statewave |
|---|---|---|
| Maintenance | Very active (6d since push) As of 4d · github_public_v1 | Very active (1d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Agent_Memory_Techniques
- Agent memory for LLMs: runnable Jupyter notebooks on various memory and knowledge techniques.
- statewave
- Open-source memory runtime for AI agents
Stars
- Agent_Memory_Techniques
- 924
- statewave
- 289
Forks
- Agent_Memory_Techniques
- 120
- statewave
- 22
Open issues
- Agent_Memory_Techniques
- 0
- statewave
- 14
Language
- Agent_Memory_Techniques
- Jupyter Notebook
- statewave
- Python
Adopt for
- Agent_Memory_Techniques
- Agent_Memory_Techniques provides thirty Jupyter Notebooks that detail advanced memory techniques for LLMs.
- statewave
- Statewave focuses on reproducibility and provenance in memory management for AI agents, using Postgres plus pgvector for self-hosted operations rather than relying on query-time retrieval.
Persona
- Agent_Memory_Techniques
- -
- statewave
- -
Runtime
- Agent_Memory_Techniques
- -
- statewave
- -
License
- Agent_Memory_Techniques
- Apache-2.0
- statewave
- Apache-2.0
Last pushed
- Agent_Memory_Techniques
- Aug 15, 2026
- statewave
- Jul 30, 2026
Categories
- Agent_Memory_Techniques
- AI Agents, Evaluation & Observability, Model Training, Vector Databases
- statewave
- AI Agents, Vector Databases
Trust and health
Days since push
- Agent_Memory_Techniques
- 6d
- statewave
- 1d
Open issues (now)
- Agent_Memory_Techniques
- 0
- statewave
- 14
Stars delta
- Agent_Memory_Techniques
- +119 (30d)
- statewave
- Unknown
Open issues delta
- Agent_Memory_Techniques
- -1 (30d)
- statewave
- Unknown
Full report
- Agent_Memory_Techniques
- Trust report
- statewave
- Trust report
Choose Agent_Memory_Techniques if…
- Agent_Memory_Techniques is primarily Jupyter Notebook; statewave is Python.
- Tags unique to Agent_Memory_Techniques: anthropic, episodic-memory, generative-ai, graphiti.
- Also covers Evaluation & Observability, Model Training.
- 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
Choose statewave if…
- statewave is primarily Python; Agent_Memory_Techniques is Jupyter Notebook.
- Tags unique to statewave: llm, memory, pgvector, postgres.
- statewave ships Docker support for self-hosted deployment.
- Use when needing reproducible and documented context bundles to ensure consistent agent performance over time, as Statewave's design specifically supports provenance tagging for each context bundle.
When NOT to use statewave
- Avoid if your application cannot leverage or benefit from a self-hosted memory runtime setup specifically using Postgres and pgvector.
- Not suitable for cases where query-time document retrieval is preferred over maintaining provenance-tagged, static context bundles.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NirDiamant/Agent_Memory_Techniques) · observed Aug 22, 2026
- GitHub forks (NirDiamant/Agent_Memory_Techniques) · observed Aug 22, 2026
- Last push (NirDiamant/Agent_Memory_Techniques) · observed Aug 15, 2026
- License file (Apache-2.0) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (smaramwbc/statewave) · observed Aug 1, 2026
- GitHub forks (smaramwbc/statewave) · observed Aug 1, 2026
- Last push (smaramwbc/statewave) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent_Memory_Techniques 924 · statewave 289 (synced Aug 22, 2026).
Common questions
- What is the difference between Agent_Memory_Techniques and statewave?
- Agent_Memory_Techniques: Agent memory for LLMs: runnable Jupyter notebooks on various memory and knowledge techniques.. statewave: Open-source memory runtime for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent_Memory_Techniques over statewave?
- Choose Agent_Memory_Techniques over statewave when Agent_Memory_Techniques is primarily Jupyter Notebook; statewave is Python; Tags unique to Agent_Memory_Techniques: anthropic, episodic-memory, generative-ai, graphiti; Also covers Evaluation & Observability, Model Training; Need to integrate multiple types of memory systems such as episodic, semantic, or vector stores.
- When should I choose statewave over Agent_Memory_Techniques?
- Choose statewave over Agent_Memory_Techniques when statewave is primarily Python; Agent_Memory_Techniques is Jupyter Notebook; Tags unique to statewave: llm, memory, pgvector, postgres; statewave ships Docker support for self-hosted deployment; Use when needing reproducible and documented context bundles to ensure consistent agent performance over time, as Statewave's design specifically supports provenance tagging for each context bundle.
- 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
- When should I avoid statewave?
- Avoid if your application cannot leverage or benefit from a self-hosted memory runtime setup specifically using Postgres and pgvector. Not suitable for cases where query-time document retrieval is preferred over maintaining provenance-tagged, static context bundles.
- Is Agent_Memory_Techniques or statewave more popular on GitHub?
- Agent_Memory_Techniques has more GitHub stars (924 vs 289). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent_Memory_Techniques and statewave open source?
- Yes - both are open-source projects on GitHub (Agent_Memory_Techniques: Apache-2.0, statewave: Apache-2.0).
- Where can I find alternatives to Agent_Memory_Techniques or statewave?
- GraphCanon lists graph-backed alternatives at Agent_Memory_Techniques alternatives and statewave alternatives (Agent_Memory_Techniques markdown twin, statewave 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, Agent_Memory_Techniques or statewave?
- Agent_Memory_Techniques: Very active. statewave: 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 Agent_Memory_Techniques and statewave?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent_Memory_Techniques trust report; statewave trust report.