Comparison
agent-protocol vs letta
Verdict
Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; pick letta if letta is a Python-based platform designed to foster the development of stateful AI agents with capabilities for advanced memory techniques that support continuous learning and self-improvement. The Apache-2.0 license it鳧.
Markdown twin · agent-protocol alternatives · letta alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | agent-protocol | letta |
|---|---|---|
| Maintenance | Dormant (484d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings 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-protocol
- Common interface for AI agents
- letta
- Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Stars
- agent-protocol
- 1.5k
- letta
- 24k
Forks
- agent-protocol
- 185
- letta
- 2.6k
Open issues
- agent-protocol
- 50
- letta
- 41
Language
- agent-protocol
- Python
- letta
- -
Adopt for
- agent-protocol
- agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
- letta
- letta is a Python-based platform designed to foster the development of stateful AI agents with capabilities for advanced memory techniques that support continuous learning and self-improvement. The Apache-2.0 license it鳧
Persona
- agent-protocol
- -
- letta
- -
Runtime
- agent-protocol
- -
- letta
- -
License
- agent-protocol
- MIT
- letta
- letta operates under the Apache-2.0 license.
Last pushed
- agent-protocol
- Apr 8, 2025
- letta
- Aug 16, 2026
Categories
- agent-protocol
- AI Agents
- letta
- AI Agents
Trust and health
Maintenance
- agent-protocol
- Dormant (18%)
- letta
- Very active (96%)
Days since push
- agent-protocol
- 484d
- letta
- 0d
Open issues (now)
- agent-protocol
- 50
- letta
- 41
Stars delta
- agent-protocol
- Unknown
- letta
- +443 (30d)
Open issues delta
- agent-protocol
- Unknown
- letta
- -8 (30d)
OSV dependency advisories
- agent-protocol
- Published findings
- letta
- No lockfile (source not queried)
Full report
- agent-protocol
- Trust report
- letta
- Trust report
Choose agent-protocol if…
- License: agent-protocol is MIT, letta is Apache-2.0.
- Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt.
- When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
When NOT to use agent-protocol
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope.
- When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
Choose letta if…
- License: letta is Apache-2.0, agent-protocol is MIT.
- Tags unique to letta: advanced memory, agents development framework, self-improving ai, stateful ai.
- When you require an AI agent with robust memory features that enable continuous learning and adaptation over time.
When NOT to use letta
- If you are looking for a simple stateless AI solution without advanced memory capabilities, as letta is geared towards more complex stateful agent development.
- When your project's requirements involve strict limitations around data retention and privacy where even anonymized interaction logs might be considered sensitive.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agi-inc/agent-protocol) · observed Aug 6, 2026
- GitHub forks (agi-inc/agent-protocol) · observed Aug 6, 2026
- Last push (agi-inc/agent-protocol) · observed Apr 8, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (letta-ai/letta) · observed Aug 17, 2026
- GitHub forks (letta-ai/letta) · observed Aug 17, 2026
- Last push (letta-ai/letta) · observed Aug 16, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-protocol 1.5k · letta 24k (synced Aug 6, 2026).
Common questions
- What is the difference between agent-protocol and letta?
- agent-protocol: Common interface for AI agents. letta: Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-protocol over letta?
- Choose agent-protocol over letta when License: agent-protocol is MIT, letta is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
- When should I choose letta over agent-protocol?
- Choose letta over agent-protocol when License: letta is Apache-2.0, agent-protocol is MIT; Tags unique to letta: advanced memory, agents development framework, self-improving ai, stateful ai; When you require an AI agent with robust memory features that enable continuous learning and adaptation over time.
- When should I avoid agent-protocol?
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
- When should I avoid letta?
- If you are looking for a simple stateless AI solution without advanced memory capabilities, as letta is geared towards more complex stateful agent development. When your project's requirements involve strict limitations around data retention and privacy where even anonymized interaction logs might be considered sensitive.
- Is agent-protocol or letta more popular on GitHub?
- letta has more GitHub stars (24,274 vs 1,458). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-protocol and letta open source?
- Yes - both are open-source projects on GitHub (agent-protocol: MIT, letta: Apache-2.0).
- Where can I find alternatives to agent-protocol or letta?
- GraphCanon lists graph-backed alternatives at agent-protocol alternatives and letta alternatives (agent-protocol markdown twin, letta 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-protocol or letta?
- agent-protocol: Dormant. letta: 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-protocol and letta?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; letta trust report.