Comparison
agents-from-scratch vs grepai
Verdict
Pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies; pick grepai if grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.
Markdown twin · agents-from-scratch alternatives · grepai alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | agents-from-scratch | grepai |
|---|---|---|
| Maintenance | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 | Very active (6d 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 Jul 15, 2026 · osv@v1 | Published findings As of Aug 30, 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
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
- grepai
- Semantic Search & Call Graphs for AI Agents (100% Local)
Stars
- agents-from-scratch
- 1.0k
- grepai
- 1.9k
Forks
- agents-from-scratch
- 251
- grepai
- 156
Open issues
- agents-from-scratch
- 4
- grepai
- 71
Language
- agents-from-scratch
- Python
- grepai
- C
Adopt for
- agents-from-scratch
- agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
- grepai
- grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.
Persona
- agents-from-scratch
- -
- grepai
- -
Runtime
- agents-from-scratch
- -
- grepai
- -
License
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
- grepai
- MIT license, allowing for wide usage in both open-source and proprietary applications without restrictions on redistribution.
Last pushed
- agents-from-scratch
- Jul 25, 2026
- grepai
- Sep 14, 2026
Categories
- agents-from-scratch
- AI Agents, Developer Tools
- grepai
- Developer Tools, Vector Databases
Trust and health
Maintenance
- agents-from-scratch
- Steady (60%)
- grepai
- Very active (96%)
Days since push
- agents-from-scratch
- 56d
- grepai
- 6d
Open issues (now)
- agents-from-scratch
- 4
- grepai
- 71
Stars delta
- agents-from-scratch
- +63 (30d)
- grepai
- +89 (30d)
Open issues delta
- agents-from-scratch
- +1 (30d)
- grepai
- -25 (30d)
OSV dependency advisories
- agents-from-scratch
- No lockfile (source not queried)
- grepai
- Published findings
Full report
- agents-from-scratch
- Trust report
- grepai
- Trust report
Choose agents-from-scratch if…
- agents-from-scratch is primarily Python; grepai is C.
- Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
- Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm.
- Also covers AI Agents.
- You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
When NOT to use agents-from-scratch
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
- If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
Choose grepai if…
- grepai is primarily C; agents-from-scratch is Python.
- Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires..
- Tags unique to grepai: ai, claude-code, cli, code-search.
- Also covers Vector Databases.
- When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
When NOT to use grepai
- Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality.
- If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pguso/agents-from-scratch) · observed Sep 20, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Sep 20, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (yoanbernabeu/grepai) · observed Sep 20, 2026
- GitHub forks (yoanbernabeu/grepai) · observed Sep 20, 2026
- Last push (yoanbernabeu/grepai) · observed Sep 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Aug 30, 2026
GitHub stars on cards: agents-from-scratch 1.0k · grepai 1.9k (synced Sep 20, 2026).
Common questions
- What is the difference between agents-from-scratch and grepai?
- agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. grepai: Semantic Search & Call Graphs for AI Agents (100% Local). See the comparison table for live GitHub stats and shared categories.
- When should I choose agents-from-scratch over grepai?
- Choose agents-from-scratch over grepai when agents-from-scratch is primarily Python; grepai is C; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; Also covers AI Agents; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
- When should I choose grepai over agents-from-scratch?
- Choose grepai over agents-from-scratch when grepai is primarily C; agents-from-scratch is Python; Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires.; Tags unique to grepai: ai, claude-code, cli, code-search; Also covers Vector Databases; When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
- When should I avoid agents-from-scratch?
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
- When should I avoid grepai?
- Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality. If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.
- Is agents-from-scratch or grepai more popular on GitHub?
- grepai has more GitHub stars (1,878 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
- Are agents-from-scratch and grepai open source?
- Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, grepai: MIT).
- Where can I find alternatives to agents-from-scratch or grepai?
- GraphCanon lists graph-backed alternatives at agents-from-scratch alternatives and grepai alternatives (agents-from-scratch markdown twin, grepai 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, agents-from-scratch or grepai?
- agents-from-scratch: Steady. grepai: 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 agents-from-scratch and grepai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agents-from-scratch trust report; grepai trust report.